NDA Help Center

Collection - General Tab

Fields available for edit on the top portion of the page include:

  • Collection Title
  • Investigators
  • Collection Description
  • Collection Phase
  • Funding Source
  • Clinical Trials

Collection Status: The visibility status of an NDA Collection.  Collection Status can be Shared or Private.  Collections in Shared status are visible to all users and can be searched in the NDA Query Tool. Private Collections are not visible to NDA users.  The Status of an NDA Collection only affects the visibility of information about the Collection (metadata) and does not relate to the status of the record-level research data in the NDA Collection.

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.
 

  • Pre-Enrollment: The default entry made when the NDA Collection is created.
     
  • Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
     
  • Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection.  The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
     
  • Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
     
    • The Data Expected Subphase indicates that NDA expects more data will be submitted
    • The Closeout Subphase indicates the data submission is complete.
    • The Sharing Not Met Subphase indicates that data submission was not completed as expected. 

Blinded Clinical Trial Status:

  • This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial.  When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
     
  • Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
     
  • When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/about/sharing-regimen.html), the embargo on Data Expected information is released.
     

Funding Source

The organization(s) responsible for providing the funding is listed here. 

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program  Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only. 

Grant Information 

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH. 

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials. 

Frequently Asked Questions

  • When a Collection is created by NDA staff and marked as Shared, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.

  • During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.

  • The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.

  • In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

  • Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.

  • A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users. 

  • Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.

  • The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different.  Collection users with Administrative Privileges are encouraged to edit the Collection Phase.  The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page.  This field is sortable alphabetically in ascending or descending order. Collection Phase options include: 

    • Pre-Enrollment:  A grant/project has started, but has not yet enrolled subjects.
    • Enrolling:  A grant/project has begun enrolling subjects.  Data submission is likely ongoing at this point.
    • Data Analysis:  A grant/project has completed enrolling subjects and has completed all data submissions.
    • Funding Completed:  A grant/project has reached the project end date.
  • The Collection State indicates whether the Collection is viewable and searchable.  Collections can be either Private, Shared, or an Ongoing Study.  A Collection that is shared does not necessarily have shared data as the Collection State and state of data are independent of each other.  This field can be edited by Collection users with Administrative Privileges and the Program Officer as listed in eRA (for NIH funded grants). Changes must be saved by clicking the Save button at the bottom of the page.

  • An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.

  • Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.

  • Provides the grant number(s) for the grant(s) associated with the Collection.  The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.

  • A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims. 

  • NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements. 

  • Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.

  • Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.

  • Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.  

  • The total number of unique subjects for whom data have been shared and are available for users with permission to access data.

NDA Help Center

Collection - Shared Data Tab

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

 

Frequently Asked Questions

  • To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection.  Alternatively, you may review an NDA Study Attribution Report available on the General tab.  

  • Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.

  • Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges.  Please contact a program staff member at the appropriate funding institution for more information.

Glossary

  • A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure

  • A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.

  • The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared.  A Shared NDA Collection or NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account.  A Shared Collection or NDA Study does not necessarily mean that data submitted to the Collection or used in the NDA Study have been shared as this is independently determined.  Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions.  Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared, but will only be viewable and accessible if the Collection is Shared.

NDA Help Center

fMRi

fMRI stands for functional magnetic resonance imaging. fMRI tests measure blood flow, providing detailed functional images of the brain or body. 

Acquisition
The Acquisition parameters needed for an experiment include the following:

The name of the experiment is required. Please be concise and specific as possible.
Following experiment name, selection boxes are provided for the Equipment, Software, or other items specific to the experiment type. At least one selection is required for each. If NDAR does not have the appropriate listing, select Add New to add the information provided. Following the selection boxes, provide additional information may be required depending on the experiment type. Any required items are denoted by an asterisk (*).

Block/Event Design
At least one block/event is required. Note that any fields denoted with an asterisk (*) are required. All data must be devoid of personally identifiable data, including the contents of any files attached to the experiment.

Note: To simplify the definition of multiple events, we provide an Import from XML function. This function supports importing data from all three experiment sections (Acquisition, Block/Event Design, and Post Processing), at this time files cannot be uploaded from XML A test format is provided here and our XML Schema Definition (xsd) can be found here.

Post Processing
If you have completed any post-processing on your data, please choose 'Yes' for Has Postprocessing? If not, select 'No'. Depending on this selection the remaining post-processing fields will be enabled (some of which will be required). If you are initially providing data you can select 'No', then return to the experiment to add post-processing steps at a later date when the data are being provided.

Please provide information about post-processing manipulations, i.e. artifact detection algorithms, segmentation used for post data collection, items denoted with an asterisk (*) are required.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

NDA Help Center

Collection - Submissions Tab

Users with permission to access Shared data in the Collection’s assigned Permission Group may use this tab. 

Here, you can:

  • Review your uploads to your Collection, monitor their status, and download them individually to verify their contents.
  • Download individual datasets as a secondary user of the data approved for access.
  • Identify and download datasets containing errors identified by NDA's QA/QC process for review and resolution.
  • Report suspected or discovered Personally Identifiable Information in a submission via the Actions column.

Frequently Asked Questions

Glossary

  • The default view of Datasets within a Collection's Submission tab.

  • A Submission Loading Status on a Collection's Submission Tab that indicates that an issue has prevented the successful loading of the submission.  Users should contact the NDA Help Desk for assistance at NDAHelp@mail.nih.gov.

  • The NDA has two Submission Cycles per year - January 15 and July 15.

  • An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.  

  • The unique and sequentially assigned ID for a submission (e.g. a discrete upload via the Validation and Upload Tool), which may contain any number of datafiles, Data Structures and/or Data Types, regardless of the Submission Loading Status. A single submission may be divided into multiple Datasets, which are based on Data Type.

  • The total number of unique subjects for whom data have been shared and are available for users with permission to access data.

  • The total number of unique subjects for whom data have been submitted, which includes data in both a Private State and a Shared State.

NDA Help Center

Collection - Publications Tab

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab. 

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column. 

 

Frequently Asked Questions

  • Publications are considered relevant to a collection when the data shared is directly related to the project or collection.

  • PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM). 

Glossary

  • A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.

  • Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.

  • A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.

  • PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.

  • The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.  

  • A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

NDA Help Center

EEG

EEG stands for electroencencephalogram and is a test used to measure electrical activity in the brain.

Acquisition
The Acquisition parameters needed for an experiment include the following:

Name of the experiment is required. Please be concise and specific as possible.
Following experiment name, selection boxes are provided for the Equipment, Software, or other items specific to experiment type. At least one selection is required for each. If NDAR does not have the appropriate listing, select Add New to add the information provided. Following the selection boxes, provide additional information may be required depending on experiment type. Any required items are denoted by an asterisk (*).

Block/Event Design
At least one block/event is required. Note that any fields denoted with an asterisk (*) are required. All data must be devoid of personally identifiable data, including the contents of any files attached to the experiment.

Note: To simplify definition of multiple events, we provide an Import from XML function. This function supports importing data from all three experiment sections (Acquisition, Block/Event Design, and Post Processing), at this time files cannot be uploaded from XML A test format is provided here and our XML Schema Definition (xsd) can be found here.

Post Processing
If you have completed any post processing on your data, please choose 'Yes' for Has Postprocessing? If not, select 'No'. Depending on this selection the remaining post processing fields will be enabled (some of which will be required). If you are initially providing data you can select 'No', then return to the experiment to add post processing steps at a later date when the data are being provided.

Please provide information about post-processing manipulations, i.e. artifact detection algorithms, segmentation used for post data collection, items denoted with an asterisk (*) are required.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

NDA Help Center

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Contributing researchers just getting started on their project will need to define this list by adding all of the items they are collecting under their grant and setting their schedule according to the NDA Data Sharing Regimen. If you fall into this category, you can begin by clicking "add new Data Expected" and selecting which data structures you will be using, saving the page after each change, or requesting new structures by adding and naming a new item, providing any materials NDA Data Dictionary Curators can use to help define your structure. For more information see the tutorial on creating Data Expected.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

  • Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
  • If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
  • Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

 

Frequently Asked Questions

  • An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.

  • The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

  • Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.

  • Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.

  • A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure

  • An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).

  • A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more. 

  • A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database.  Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.

  • Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.

  • Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.

  • Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.

  • An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.

  • The NDA has two Submission Cycles per year - January 15 and July 15.

  • An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.  

NDA Help Center

Collection - Permissions

Collection Owners, Program Officers, and users with Administrator privileges may view this tab.

The available permission groups include:

  • Query: This read-only access is generally for NIH Program Officers
  • Submission: This will grant read access and allow the user to upload data and create experiment definitions. This is for the typical contributing personnel member.
  • Administrator: In addition to the access provided to Query and Submission users, Admins can also edit the Collection itself, create or edit the Data Expected list, and edit user permissions. This access is for the PI, data managers, and anyone they wish to delegate this to.

The PI has a special designation as the Collection Owner in addition to administrator access.

Frequently Asked Questions

  • Collection Owners and Admins may assign Collection Privileges to anyone.

  • Yes, you can assign various Privileges to other users with an NDA account.

  • If you are the Collection Owner or have Admin privileges, you can view and make changes to the list of individuals who have access to the Collection on the Collection's Permissions tab.  Information on users who have access to data Shared in your Collection because they were granted access to a Permission Group is not available.

  • Staff/collaborators who are working submitting data to the Collection, checking the quality of the data, and/or analyzing data should have access for the duration of the project until all data have been submitted, NDA Studies have been created for data used in publications, and/or a collaborative relationship with the user exists.  

  • The individual listed as an Investigator on the General tab of the NDA Collection will generally be able to provide a user access to the NDA Collection.  Additional users may also have this ability if granted Administrator access to an NDA Collection; however, these users are not viewable unless your account has access to the NDA Collection.  Given this, it is best to contact the Investigator to request access to the Collection.

  • Privileges that can be assigned to a user include:
    Submission allows a user to submit data to Collection
    Query allows the user to download data from Collection even when in a Private state
    Admin is both the Submission and Query Privilege + the ability to give privileges to other users.

  • You may have staff who are working on the submission of data or other activities associated with data sharing such as the definition of the Data Expected list or NDA Experiment creation.  Also, many projects have multiple performance sites and wish to share data among the site PIs.  Submitting to the NDA facilitates access by all investigators working on a project even before data have been shared with other users.  You can control who gets access to data while in a Private state.

Glossary

  • A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users. 

  • Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.

NDA Help Center

Eye Tracking

EyeTracking tests follow the movement of the eye. The visual trajectory or focus can help determine predictions and assist in diagnoses. 

Acquisition
The Acquisition parameters needed for an experiment include the following:

The name of the experiment is required. Please be concise and specific as possible.
Following experiment name, selection boxes are provided for the Equipment, Software, or other items specific to the experiment type. At least one selection is required for each. If NDAR does not have the appropriate listing, select Add New to add the information provided. Following the selection boxes, provide additional information may be required depending on the experiment type. Any required items are denoted by an asterisk (*).

Block/Event Design
At least one block/event is required. Note that any fields denoted with an asterisk (*) are required. All data must be devoid of personally identifiable data, including the contents of any files attached to the experiment.

Note: To simplify the definition of multiple events, we provide an Import from XML function. This function supports importing data from all three experiment sections (Acquisition, Block/Event Design, and Post Processing), at this time files cannot be uploaded from XML A test format is provided here and our XML Schema Definition (xsd) can be found here.

Post Processing
If you have completed any post-processing on your data, please choose 'Yes' for Has Postprocessing? If not, select 'No'. Depending on this selection the remaining post-processing fields will be enabled (some of which will be required). If you are initially providing data you can select 'No', then return to the experiment to add post-processing steps at a later date when the data are being provided.

Please provide information about post-processing manipulations, i.e. artifact detection algorithms, segmentation used for post data collection, items denoted with an asterisk (*) are required.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

NDA Help Center

Collection - Experiments Tab

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

  • Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:

    1. Copy the experiment with intent for modifications.  
    2. Associate the experiment to the collection. No modifications can be made to the experiment.

     

Glossary

  • An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.

  • The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.

NDA Help Center

Omics

Omics is a collective group of technologies, related to a field of study in Biology such as Genomics or proteomics. 

Experiment Parameters

To define an Omics experiment, provide a meaningful name and select a single molecule. The standard molecules are listed. However, if you are doing proteomic or environmental experiments, simply “Add New” and the new selection will be created. Only one value for molecule is permitted.

Next the technology (box 2) associated with the molecule will be presented along with its application. Again, only one selection is possible. If you wish to see all of NDAR’s options for any one box, Select “Show All”.

Platform

Continue to select the Platform (box 3).

Extraction

Next, the Extraction Protocol (box 4) and Kits (box 5) are presented based upon the Molecule selected and the Processing Protocol (box 6) and Kits (box 7) are presented based upon the Molecule and Technology Application (Box 1 and 2)

Processing

Note that for each of these (boxes 4, 5, 6, and 7) multiple selections are possible.

Additional Information

Lastly, the Software (box 8) and Equipment (box 9) is expected.

 

Once saved, the experiment will be associated with the Collection and by using the returned Experiment_ID, the NDA makes it possible to associate the experiment meta data directly with the data from the experiment.

Frequently Asked Questions

Glossary

  • This button will add all selections to the Filter Cart. 

  • This button will allow you to copy all of the Experiment details as a template for a new experiment. 

  • Adds all data from the current selections in a Collection or NDA Study to the Filter Cart.

  • This button will allow you to return to the Experiments tab. 

NDA Help Center

Collection - Associated Studies

Clicking on the Study Title will open the study details in a new internet browser tab. The Abstract is available for viewing, providing the background explanation of the study, as provided by the Collection Owner. 

Primary v. Secondary Analysis: The Data Usage column will have one of these two choices. An associated study that is listed as being used for Primary Analysis indicates at least some and potentially all of the data used was originally collected by the creator of the NDA Study. Secondary Analysis indicates the Study owner was not involved in the collection of data, and may be used as supporting data. 

Private v. Shared State: Studies that remain private indicate the associated study is only available to users who are able to access the collection. A shared study is accessible to the general public. 

Frequently Asked Questions

  • Studies are associated to the Collection automatically when the data is defined in the Study. 

Glossary

  • A tab in a Collection that lists the NDA Studies that have been created using data from that Collection including both Primary and Secondary Analysis NDA Studies.

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NDA Help Center

Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR" when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects.

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access. Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA). Without access, you will not be able to obtain individual-level data.

Once you have selected data of interest you can:

  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release.
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected. Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the filter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

Please Note:

  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time.
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures.
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • What is a Filter Cart?
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.
  • What do I do after filters are added to the Filter Cart?
    After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned. Adding multiple filters to the cart, regardless of type, will AND the result of each filter. If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in BOTH 1 AND 2.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Glossary

  • Workspace
    The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace.
  • Filter Cart
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user through querying or browsing as being of some potential interest. The Filter Cart adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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1 Numbers reported are subjects by age
New Trial
New Project

Format should be in the following format: Activity Code, Institute Abbreviation, and Serial Number. Grant Type, Support Year, and Suffix should be excluded. For example, grant 1R01MH123456-01A1 should be entered R01MH123456

Please select an experiment type below

Collection - Use Existing Experiment

To associate an experiment to the current collection, just select an axperiment from the table below then click the associate experiment button to persist your changes (saving the collection is not required). Note that once an experiment has been associated to two or more collections, the experiment will not longer be editable.

The table search feature is case insensitive and targets the experiment id, experiment name and experiment type columns. The experiment id is searched only when the search term entered is a number, and filtered using a startsWith comparison. When the search term is not numeric the experiment name is used to filter the results.

SelectExperiment IdExperiment NameExperiment Type
Created On
24HI-NGS_R1Omics02/16/2011
475MB1-10 (CHOP)Omics06/07/2016
490Illumina Infinium PsychArray BeadChip AssayOmics07/07/2016
501PharmacoBOLD Resting StatefMRI07/27/2016
506PVPREFOmics08/05/2016
509ABC-CT Resting v2EEG08/18/2016
13Comparison of FI expression in Autistic and Neurotypical Homo SapiensOmics12/28/2010
18AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics01/06/2011
22Stitching PCR SequencingOmics02/14/2011
26ASD_MethylationOmics03/01/2011
29Microarray family 03 (father, mother, sibling)Omics03/24/2011
37Standard paired-end sequencing of BCRsOmics04/19/2011
38Illumina Mate-Pair BCR sequencingOmics04/19/2011
39Custom Jumping LibrariesOmics04/19/2011
40Custom CapBPOmics04/19/2011
41ImmunofluorescenceOmics05/11/2011
43Autism brain sample genotyping, IlluminaOmics05/16/2011
47ARRA Autism Sequencing Collaboration at Baylor. SOLiD 4 SystemOmics08/01/2011
53AGRE Omni1-quadOmics10/11/2011
59AGP genotypingOmics04/03/2012
60Ultradeep 454 sequencing of synaptic genes from postmortem cerebella of individuals with ASD and neurotypical controlsOmics06/23/2012
63Microemulsion PCR and Targeted Resequencing for Variant Detection in ASDOmics07/20/2012
76Whole Genome Sequencing in Autism FamiliesOmics01/03/2013
519RestingfMRI11/08/2016
90Genotyped IAN SamplesOmics07/09/2013
91NJLAGS Axiom Genotyping ArrayOmics07/16/2013
93AGP genotyping (CNV)Omics09/06/2013
106Longitudinal Sleep Study. H20 200. Channel set 2EEG11/07/2013
107Longitudinal Sleep Study. H20 200. Channel set 3EEG11/07/2013
108Longitudinal Sleep Study. AURA 200EEG11/07/2013
105Longitudinal Sleep Study. H20 200. Channel set 1EEG11/07/2013
109Longitudinal Sleep Study. AURA 400EEG11/07/2013
116Gene Expression Analysis WG-6Omics01/07/2014
131Jeste Lab UCLA ACEii: Charlie Brown and Sesame Street - Project 1Eye Tracking02/27/2014
132Jeste Lab UCLA ACEii: Animacy - Project 1Eye Tracking02/27/2014
133Jeste Lab UCLA ACEii: Mom Stranger - Project 2Eye Tracking02/27/2014
134Jeste Lab UCLA ACEii: Face Emotion - Project 3Eye Tracking02/27/2014
145AGRE/FMR1_Illumina.JHUOmics04/14/2014
146AGRE/MECP2_Sanger.JHUOmics04/14/2014
147AGRE/MECP2_Junior.JHUOmics04/14/2014
151Candidate Gene Identification in familial AutismOmics06/09/2014
152NJLAGS Whole Genome SequencingOmics07/01/2014
154Math Autism Study - Vinod MenonfMRI07/15/2014
155RestingfMRI07/25/2014
156SpeechfMRI07/25/2014
159EmotionfMRI07/25/2014
160syllable contrastEEG07/29/2014
167School-age naturalistic stimuliEye Tracking09/19/2014
44AGRE/Broad Affymetrix 5.0 Genotype ExperimentOmics06/27/2011
45Exome Sequencing of 20 Sporadic Cases of Autism Spectrum DisorderOmics07/15/2011
Collection - Add Experiment
Add Supporting Documentation
Select File

Please enter the name of the data structure to search or if your definition does not exist, please upload that definition so that it can be appropriately defined for submission. Multiple data structures may be associated with a single Data Expected entry. Please add only one data structure per assessment.

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The Data Expected list for this Collection shows some raw data as missing. Contact the NDA Help Desk with any questions.

Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.

Collection Updated

Your Collection is now in Data Analysis phase and exempt from biannual submissions. Analyzed data is still expected prior to publication or no later than the project end date.

[CMS] Attention
[CMS] Please confirm that you will not be enrolling any more subjects and that all raw data has been collected and submitted.
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[CMS]

Unable to change collection phase where targeted enrollment is less than 90%

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You have requested to move the sharing dates for the following assessments:
Data Expected Item Original Sharing Date New Sharing Date

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Explanation must be between 20 and 200 characters in length.

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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
HCP-D Mapping the Human Connectome During Typical Development (HCP-D)
Deanna Barch, Susan Bookheimer, Randy Buckner, Mirella Dapretto, Stephen Smith, Leah Somerville, Kathleen Thomas, David Van Essen, Essa Yacoub 
The major technological and analytical advances in human brain imaging achieved as part of the Human Connectome Projects (HCP) enable examination of structural and functional brain connectivity at unprecedented levels of spatial and temporal resolution. This information is proving crucial to our understanding of normative variation in adult brain connectivity. It is now timely to use the tools and analytical approaches developed by the HCP to understand how structural and functional wiring of the brain develops. Using state-of-the art HCP imaging approaches will allow investigators to push our currently limited understanding of normative brain development to new levels. This knowledge will critically inform prevention and intervention efforts targeting well known public health concerns (e.g., neurological and psychiatric disorders, poverty). The majority of developmental connectivity studies to date have used fairly coarse resolution, have not been multi-modal in nature, and few studies have used comparable methods to assess individuals across a sufficiently wide age range to truly capture developmental processes (e.g., early childhood through adolescence). Here we propose a consortium of five sites (Harvard, Oxford, UCLA, University of Minnesota, Washington University), with extensive complimentary expertise in brain imaging and neural development, including many of the investigators from the adult and pilot lifespan HCP efforts. Our synergistic integration of advances from the HARVARD-MGH and WU-MINN-OXFORD HCPs with cutting edge expertise in child and adolescent brain development will enable major advances in our understanding of the normative development of human brain connectivity. The resultant unique resource will provide rich, multimodal data on several biological and cognitive constructs that are of critical importance to health and well-being across this age range and allow a wide range of investigators in the community to gain new insights about brain development and connectivity. Aim 1 will be to optimize existing HCP Lifespan Pilot project protocols on the widely available Prisma platform to respect practical constraints in studying healthy children and adolescents over a wide age range and will also collect a matched set of data on the original Skyra and proposed Prisma HCP protocols to serve as a linchpin between the past and present efforts. Aim 2 will be to collect 1500 high quality neuroimaging and associated behavioral datasets on healthy children and adolescents in the age range of 5-21, using matched protocols across sites, enabling robust characterization of age-related changes in network properties including connectivity, network integrity, response properties during tasks, and behavior. Aim 3 will be to collect and analyze longitudinal subsamples, task, and phenotypic measures that constitute intensive sub-studies of inflection points of health-relevant behavioral changes within specific developmental phases. Aim 4 will capitalize on our success in sharing data in the HCP, and use established tools, platforms and procedures to make all data publically available through the Connectome Coordinating Facility (CCF).
Connectome Coordination Facility
01/29/2018
Human Connectome Project (HCP)
Funding Completed
Close Out
Shared
No
$3,423,207.00
652
Loading Chart...
NIH - Extramural None

https://www.humanconnectome.org/storage/app/uploads/public/5f2/079/44e/5f207944eb205925764418.pdf Other Files and directory structure of Lifespan 1.0 Release HCP-Aging and HCP-Development imaging and behavioral data. General Public
https://www.humanconnectome.org/storage/app/media/documentation/LS2.0/LS_Release_2.0_Access_Instructions.pdf Results Detailed instructions on applying for NDA access to Lifespan 2.0 Release HCP-Aging & HCP-Development data, selecting, and downloading data with download manager and on the command line. General Public
https://www.humanconnectome.org/storage/app/media/documentation/LS2.0/LS2.0_Crosswalk_Behavioral_Data_Dictionary.xlsx Results Crosswalk .xlsx spreadsheet linking behavioral NDA structures and elements to the original HCP variable descriptions. hcp description column is current best data dictionary for variables and answer codes as of the Lifespan 2.0 Release. General Public
https://www.humanconnectome.org/storage/app/media/documentation/LS2.0/HCD_LS_2.0_subject_completeness.csv Results CSV containing per subject completeness of imaging modalities, QC issue codes, behavioral data availability, and unrelated status for finding subjects of interest for analyses. General Public
https://www.humanconnectome.org/storage/app/media/documentation/LS2.0/LS_2.0_Release_Appendix_2.pdf Results Lifespan 2.0 Release HCP-Aging and HCP-Development: Details and References for Behavioral & Clinical Instruments General Public
https://www.humanconnectome.org/storage/app/media/documentation/LS2.0/LS_2.0_Release_Appendix_1.pdf Results File names and directory structure of Lifespan 2.0 Release HCP-Aging and HCP-Development preprocessed and unprocessed imaging data. Organized by OPTION 2 filters/HCP package names on NDA HCP Aging & Development query page. General Public

U01MH109589-01 Mapping the Human Connectome During Typical Development 05/17/2016 04/30/2020 2688 2435 WASHINGTON UNIVERSITY $3,423,207.00

helpcenter.collection.general-tab

NDA Help Center

Collection - General Tab

Fields available for edit on the top portion of the page include:

  • Collection Title
  • Investigators
  • Collection Description
  • Collection Phase
  • Funding Source
  • Clinical Trials

Collection Status: The visibility status of an NDA Collection. Collection Status can be Shared or Private. Collections in Shared status are visible to all users and can be searched in the NDA Query Tool. Private Collections are not visible to NDA users. The Status of an NDA Collection only affects the visibility of information about the Collection (metadata) and does not relate to the status of the record-level research data in the NDA Collection.

Collection Phase: The current status of a research project submitting data to an NDA Collection, based on the timing of the award and/or the data that have been submitted.

  • Pre-Enrollment: The default entry made when the NDA Collection is created.
  • Enrolling: Data have been submitted to the NDA Collection or the NDA Data Expected initial submission date has been reached for at least one data structure category in the NDA Collection.
  • Data Analysis: Subject level data collection for the research project is completed and has been submitted to the NDA Collection. The NDA Collection owner or the NDA Help Desk may set this phase when they’ve confirmed data submission is complete and submitted subject counts match at least 90% of the target enrollment numbers in the NDA Data Expected. Data submission reminders will be turned off for the NDA Collection.
  • Funding Completed: The NIH grant award (or awards) associated with the NDA Collection has reached its end date. NDA Collections in Funding Completed phase are assigned a subphase to indicate the status of data submission.
    • The Data Expected Subphase indicates that NDA expects more data will be submitted
    • The Closeout Subphase indicates the data submission is complete.
    • The Sharing Not Met Subphase indicates that data submission was not completed as expected.

Blinded Clinical Trial Status:

  • This status is set by a Collection Owner and indicates the research project is a double blinded clinical trial. When selected, the public view of Data Expected will show the Data Expected items and the Submission Dates, but the targeted enrollment and subjects submitted counts will not be displayed.
  • Targeted enrollment and subjects submitted counts are visible only to NDA Administrators and to the NDA Collection or as the NDA Collection Owner.
  • When an NDA Collection that is flagged Blinded Clinical Trial reaches the maximum data sharing date for that Data Repository (see https://nda.nih.gov/nda/sharing-regimen.html), the embargo on Data Expected information is released.

Funding Source

The organization(s) responsible for providing the funding is listed here.

Supporting Documentation

Users with Submission privileges, as well as Collection Owners, Program Officers, and those with Administrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the option is also available to limit this information to qualified researchers only.

Grant Information

Identifiable details are displayed about the Project of which the Collection was derived from. You may click in the Project Number to view a full report of the Project captured by the NIH.

Clinical Trials

Any data that is collected to support or further the research of clinical studies will be available here. Collection Owners and those with Administrator privileges may add new clinical trials.

Frequently Asked Questions

  • How does the NIMH Data Archive (NDA) determine which Permission Group data are submitted into?
    During Collection creation, NDA staff determine the appropriate Permission Group based on the type of data to be submitted, the type of access that will be available to data access users, and the information provided by the Program Officer during grant award.
  • How do I know when a NDA Collection has been created?
    When a Collection is created by NDA staff and marked as Shared, an email notification will automatically be sent to the PI(s) of the grant(s) associated with the Collection to notify them.
  • Is a single grant number ever associated with more than one Collection?
    The NDA system does not allow for a single grant to be associated with more than one Collection; therefore, a single grant will not be listed in the Grant Information section of a Collection for more than one Collection.
  • Why is there sometimes more than one grant included in a Collection?
    In general, each Collection is associated with only one grant; however, multiple grants may be associated if the grant has multiple competing segments for the same grant number or if multiple different grants are all working on the same project and it makes sense to hold the data in one Collection (e.g., Cooperative Agreements).

Glossary

  • Administrator Privilege
    A privilege provided to a user associated with an NDA Collection or NDA Study whereby that user can perform a full range of actions including providing privileges to other users.
  • Collection Owner
    Generally, the Collection Owner is the contact PI listed on a grant. Only one NDA user is listed as the Collection owner. Most automated emails are primarily sent to the Collection Owner.
  • Collection Phase
    The Collection Phase provides information on data submission as opposed to grant/project completion so while the Collection phase and grant/project phase may be closely related they are often different. Collection users with Administrative Privileges are encouraged to edit the Collection Phase. The Program Officer as listed in eRA (for NIH funded grants) may also edit this field. Changes must be saved by clicking the Save button at the bottom of the page. This field is sortable alphabetically in ascending or descending order. Collection Phase options include:
    • Pre-Enrollment: A grant/project has started, but has not yet enrolled subjects.
    • Enrolling: A grant/project has begun enrolling subjects. Data submission is likely ongoing at this point.
    • Data Analysis: A grant/project has completed enrolling subjects and has completed all data submissions.
    • Funding Completed: A grant/project has reached the project end date.
  • Collection State
    The Collection State indicates whether the Collection is viewable and searchable. Collections can be either Private, Shared, or an Ongoing Study. A Collection that is shared does not necessarily have shared data as the Collection State and state of data are independent of each other. This field can be edited by Collection users with Administrative Privileges and the Program Officer as listed in eRA (for NIH funded grants). Changes must be saved by clicking the Save button at the bottom of the page.
  • Collection Title
    An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
  • Grant
    Provides the grant number(s) for the grant(s) associated with the Collection. The field is a hyperlink so clicking on the Grant number will direct the user to the grant information in the NIH Research Portfolio Online Reporting Tools (RePORT) page.
  • Supporting Documentation
    Various documents and materials to enable efficient use of the data by investigators unfamiliar with the project and may include the research protocol, questionnaires, and study manuals.
  • NIH Research Initiative
    NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
  • Permission Group
    Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
  • Planned Enrollment
    Number of human subject participants to be enrolled in an NIH-funded clinical research study. The data is provided in competing applications and annual progress reports.
  • Actual Enrollment
    Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
  • NDA Collection
    A virtual container and organization structure for data and associated documentation from one grant or one large project/consortium. It contains tools for tracking data submission and allows investigators to define a wide array of other elements that provide context for the data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data contained in the Collection, methods, and other supporting documentation. They also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to research aims.
  • Data Use Limitations
    Data Use Limitations (DULs) describe the appropriate secondary use of a dataset and are based on the original informed consent of a research participant. NDA only accepts consent-based data use limitations defined by the NIH Office of Science Policy.
  • Total Subjects Shared
    The total number of unique subjects for whom data have been shared and are available for users with permission to access data.
IDNameCreated DateStatusType
1210CARIT (Reward History Go/Nogo) Task02/12/2019ApprovedfMRI
1212Guessing Task02/20/2019ApprovedfMRI
1213Emotion Task02/20/2019ApprovedfMRI
1214Resting State02/20/2019ApprovedfMRI
helpcenter.collection.experiments-tab

NDA Help Center

Collection - Experiments

The number of Experiments included is displayed in parentheses next to the tab name. You may download all experiments associated with the Collection via the Download button. You may view individual experiments by clicking the Experiment Name and add them to the Filter Cart via the Add to Cart button.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may create or edit an Experiment.

Please note: The creation of an NDA Experiment does not necessarily mean that data collected, according to the defined Experiment, has been submitted or shared.

Frequently Asked Questions

  • Can an Experiment be associated with more than one Collection?

    Yes -see the “Copy” button in the bottom left when viewing an experiment. There are two actions that can be performed via this button:

    1. Copy the experiment with intent for modifications.
    2. Associate the experiment to the collection. No modifications can be made to the experiment.

Glossary

  • Experiment Status
    An Experiment must be Approved before data using the associated Experiment_ID may be uploaded.
  • Experiment ID
    The ID number automatically generated by NDA which must be included in the appropriate file when uploading data to link the Experiment Definition to the subject record.

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Shared Data

Data structures with the number of subjects submitted and shared are provided.

Adult Self Report Clinical Assessments 151
Behavioral Inhibition Scale/Behavioral Activation Scale Clinical Assessments 651
Blood Sample Collection Clinical Assessments 652
Child Behavior Checklist (CBCL) 1-5 Clinical Assessments 2
Child Behavior Checklist (CBCL) 6-18 Clinical Assessments 498
Children's Behavior Questionnaire Parent Clinical Assessments 55
Clinical Medical History Clinical Assessments 652
Cognition Composite Scores Clinical Assessments 471
Delay Discounting Task Clinical Assessments 641
Dimensional Change Card Sort Test (DCCS) Clinical Assessments 472
Early Adolescent Temperament Questionnaire Clinical Assessments 500
Edinburgh Handedness Inventory Clinical Assessments 652
Family Environment Scale Clinical Assessments 652
Flanker Task Clinical Assessments 471
General Behavior Inventory Clinical Assessments 651
Image Imaging 652
Imaging Collection Imaging 652
Language Experience and Proficiency Questionnaire Clinical Assessments 652
Maternal and Birth History Clinical Assessments 500
Medications and Treatments Form Clinical Assessments 652
Mini Mental State Exam Clinical Assessments 340
Munich ChronoType Questionnaire Clinical Assessments 479
NEO-Five Factor Inventory Clinical Assessments 229
NIH Toolbox Emotion Domain - Emotional Support Survey Clinical Assessments 464
NIH Toolbox Emotion Domain - Empathic Behavior Survey Clinical Assessments 159
NIH Toolbox Emotion Domain - Fear Surveys Clinical Assessments 362
NIH Toolbox Emotion Domain - Friendship Survey Clinical Assessments 464
NIH Toolbox Emotion Domain - Peer Rejection and Perceived Rejection Surveys Clinical Assessments 482
NIH Toolbox Emotion Domain - Perceived Hostility Surveys Clinical Assessments 464
NIH Toolbox Emotion Domain - Psychological Well-Being Clinical Assessments 483
NIH Toolbox Emotion Domain - Sadness Surveys Clinical Assessments 159
NIH Toolbox Emotion Domain - Self-Efficacy Survey Clinical Assessments 473
NIH Toolbox Emotion Domain - Social Withdrawal and Positive Peer Interaction Surveys Clinical Assessments 159
NIH Toolbox List Sorting Working Memory Test Clinical Assessments 472
NIH Toolbox Motor Domain Clinical Assessments 472
NIH Toolbox Oral Reading Recognition Test Clinical Assessments 472
NIH Toolbox Picture Vocabulary Test Clinical Assessments 471
NIH Toolbox Sensation Domain Clinical Assessments 473
PROMIS Anger Clinical Assessments 483
PROMIS Emotional Distress - Depression Clinical Assessments 120
PROMIS Emotional Distress-Anxiety Clinical Assessments 120
PROMIS General Life Satisfaction Clinical Assessments 458
PROMIS Social Isolation Clinical Assessments 464
Pattern Comparison Processing Speed Clinical Assessments 472
Penn Emotion Recognition Task Clinical Assessments 629
Perceived Stress Scale Clinical Assessments 436
PhenX Substance Use Clinical Assessments 629
Picture Sequence Memory Clinical Assessments 473
Pittsburgh Sleep Quality Index Clinical Assessments 151
Processed MRI Data Imaging 652
Pubertal Development Scale Clinical Assessments 652
Research Subject Clinical Assessments 652
Scanner Debriefing Interview Clinical Assessments 637
Screen Time Survey Clinical Assessments 651
Sleep Disturbance Questionnaire Clinical Assessments 243
Social Responsiveness Scale (SRS) Clinical Assessments 651
Sociodemographics Clinical Assessments 652
Sports and Activities Involvement Questionnaire Clinical Assessments 500
Strengths and Difficulties Questionnaire Clinical Assessments 243
UPPS Impulsive Behavior Scale Clinical Assessments 651
Vision Tests Clinical Assessments 652
Vital Signs Clinical Assessments 652
Wechsler Adult Intelligence Scale Fourth Edition [part 1] Clinical Assessments 180
Wechsler Intelligence Scale for Children V Clinical Assessments 462
Wechsler Preschool and Primary Scale of Intelligence IV Edition Clinical Assessments 2
Youth Self Report Clinical Assessments 334
helpcenter.collection.shared-data-tab

NDA Help Center

Collection - Shared Data

This tab provides a quick overview of the Data Structure title, Data Type, and Number of Subjects that are currently Shared for the Collection. The information presented in this tab is automatically generated by NDA and cannot be edited. If no information is visible on this tab, this would indicate the Collection does not have shared data or the data is private.

The shared data is available to other researchers who have permission to access data in the Collection's designated Permission Group(s). Use the Download button to get all shared data from the Collection to the Filter Cart.

Frequently Asked Questions

  • How will I know if another researcher uses data that I shared through the NIMH Data Archive (NDA)?
    To see what data your project have submitted are being used by a study, simply go the Associated Studies tab of your collection. Alternatively, you may review an NDA Study Attribution Report available on the General tab.
  • Can I get a supplement to share data from a completed research project?
    Often it becomes more difficult to organize and format data electronically after the project has been completed and the information needed to create a GUID may not be available; however, you may still contact a program staff member at the appropriate funding institution for more information.
  • Can I get a supplement to share data from a research project that is still ongoing?
    Unlike completed projects where researchers may not have the information needed to create a GUID and/or where the effort needed to organize and format data becomes prohibitive, ongoing projects have more of an opportunity to overcome these challenges. Please contact a program staff member at the appropriate funding institution for more information.

Glossary

  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Type
    A grouping of data by similar characteristics such as Clinical Assessments, Omics, or Neurosignal data.
  • Shared
    The term 'Shared' generally means available to others; however, there are some slightly different meanings based on what is Shared. A Shared NDA Collection or NDA Study is viewable and searchable publicly regardless of the user's role or whether the user has an NDA account. A Shared Collection or NDA Study does not necessarily mean that data submitted to the Collection or used in the NDA Study have been shared as this is independently determined. Data are shared according the schedule defined in a Collection's Data Expected Tab and/or in accordance with data sharing expectations in the NDA Data Sharing Terms and Conditions. Additionally, Supporting Documentation uploaded to a Collection may be shared independent of whether data are shared, but will only be viewable and accessible if the Collection is Shared.

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Publications

Publications relevant to NDA data are listed below. Most displayed publications have been associated with the grant within Pubmed. Use the "+ New Publication" button to add new publications. Publications relevant/not relevant to data expected are categorized. Relevant publications are then linked to the underlying data by selecting the Create Study link. Study provides the ability to define cohorts, assign subjects, define outcome measures and lists the study type, data analysis and results. Analyzed data and results are expected in this way.

PubMed IDStudyTitleJournalAuthorsDateStatus
36346213Create StudyBenchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias.Human brain mappingJirsaraie, Robert J; Kaufmann, Tobias; Bashyam, Vishnu; Erus, Guray; Luby, Joan L; Westlye, Lars T; Davatzikos, Christos; Barch, Deanna M; Sotiras, AristeidisFebruary 15, 2023Not Determined
35944340Create StudyDevelopmental trajectories of cortical thickness by functional brain network: The roles of pubertal timing and socioeconomic status.Developmental cognitive neuroscienceSanders, Ashley F P; Baum, Graham L; Harms, Michael P; Kandala, Sridhar; Bookheimer, Susan Y; Dapretto, Mirella; Somerville, Leah H; Thomas, Kathleen M; Van Essen, David C; Yacoub, Essa; Barch, Deanna MAugust 5, 2022Not Determined
35705486Create StudyGraded Variation in T1w/T2w Ratio during Adolescence: Measurement, Caveats, and Implications for Development of Cortical Myelin.The Journal of neuroscience : the official journal of the Society for NeuroscienceBaum, Graham L; Flournoy, John C; Glasser, Matthew F; Harms, Michael P; Mair, Patrick; Sanders, Ashley F P; Barch, Deanna M; Buckner, Randy L; Bookheimer, Susan; Dapretto, Mirella; Smith, Stephen; Thomas, Kathleen M; Yacoub, Essa; Van Essen, David C; Somerville, Leah HJuly 20, 2022Not Determined
35697132Create StudyEmpirical transmit field bias correction of T1w/T2w myelin maps.NeuroImageGlasser, Matthew F; Coalson, Timothy S; Harms, Michael P; Xu, Junqian; Baum, Graham L; Autio, Joonas A; Auerbach, Edward J; Greve, Douglas N; Yacoub, Essa; Van Essen, David C; Bock, Nicholas A; Hayashi, TakuyaSeptember 1, 2022Not Determined
35429627Create StudyPsychological resilience and neurodegenerative risk: A connectomics-transcriptomics investigation in healthy adolescent and middle-aged females.NeuroImagePetrican, Raluca; Fornito, Alex; Jones, NatalieJuly 15, 2022Not Determined
35201792Create StudyShifting qualities of negative affective experience through adolescence: Age-related change and associations with functional outcomes.Emotion (Washington, D.C.)Grisanzio, Katherine A; Flournoy, John C; Mair, Patrick; Somerville, Leah HFebruary 1, 2023Not Determined
35067249Create StudyNeural signatures of data-driven psychopathology dimensions at the transition to adolescence.European psychiatry : the journal of the Association of European PsychiatristsModabbernia, Amirhossein; Michelini, Giorgia; Reichenberg, Abraham; Kotov, Roman; Barch, Deanna; Frangou, SophiaJanuary 24, 2022Not Determined
35033950Create StudyAssociations between cognition and polygenic liability to substance involvement in middle childhood: Results from the ABCD study.Drug and alcohol dependencePaul, Sarah E; Hatoum, Alexander S; Barch, Deanna M; Thompson, Wesley K; Agrawal, Arpana; Bogdan, Ryan; Johnson, Emma CMarch 1, 2022Not Determined
34508893Create StudyThe Human Connectome Project: A retrospective.NeuroImageElam, Jennifer Stine; Glasser, Matthew F; Harms, Michael P; Sotiropoulos, Stamatios N; Andersson, Jesper L R; Burgess, Gregory C; Curtiss, Sandra W; Oostenveld, Robert; Larson-Prior, Linda J; Schoffelen, Jan-Mathijs; Hodge, Michael R; Cler, Eileen A; Marcus, Daniel M; Barch, Deanna M; Yacoub, Essa; Smith, Stephen M; Ugurbil, Kamil; Van Essen, David CDecember 1, 2021Not Determined
34450262Create StudyHierarchical modelling of functional brain networks in population and individuals from big fMRI data.NeuroImageFarahibozorg, Seyedeh-Rezvan; Bijsterbosch, Janine D; Gong, Weikang; Jbabdi, Saad; Smith, Stephen M; Harrison, Samuel J; Woolrich, Mark WNovember 1, 2021Not Determined
33683660Create StudyAmygdala Activation in Cognitive Task fMRI Varies with Individual Differences in Cognitive Traits.Cognitive, affective & behavioral neuroscienceWest, Haley V; Burgess, Gregory C; Dust, Joseph; Kandala, Sridhar; Barch, Deanna MFebruary 1, 2021Not Determined
33524575Create StudyCharacterizing cerebral hemodynamics across the adult lifespan with arterial spin labeling MRI data from the Human Connectome Project-Aging.NeuroImageJuttukonda, Meher R; Li, Binyin; Almaktoum, Randa; Stephens, Kimberly A; Yochim, Kathryn M; Yacoub, Essa; Buckner, Randy L; Salat, David HApril 15, 2021Not Determined
32965490Create StudyAssociations Between Prenatal Cannabis Exposure and Childhood Outcomes: Results From the ABCD Study.JAMA psychiatryPaul, Sarah E; Hatoum, Alexander S; Fine, Jeremy D; Johnson, Emma C; Hansen, Isabella; Karcher, Nicole R; Moreau, Allison L; Bondy, Erin; Qu, Yueyue; Carter, Ebony B; Rogers, Cynthia E; Agrawal, Arpana; Barch, Deanna M; Bogdan, RyanJanuary 1, 2021Not Determined
32866666Create StudyThe developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.NeuroImageFitzgibbon, Sean P; Harrison, Samuel J; Jenkinson, Mark; Baxter, Luke; Robinson, Emma C; Bastiani, Matteo; Bozek, Jelena; Karolis, Vyacheslav; Cordero Grande, Lucilio; Price, Anthony N; Hughes, Emer; Makropoulos, Antonios; Passerat-Palmbach, Jonathan; Schuh, Andreas; Gao, Jianliang; Farahibozorg, Seyedeh-Rezvan; O'Muircheartaigh, Jonathan; Ciarrusta, Judit; O'Keeffe, Camilla; Brandon, Jakki; Arichi, Tomoki; Rueckert, Daniel; Hajnal, Joseph V; Edwards, A David; Smith, Stephen M; Duff, Eugene; Andersson, JesperDecember 1, 2020Not Determined
32702486Create StudyCortical surface registration using unsupervised learning.NeuroImageCheng, Jieyu; Dalca, Adrian V; Fischl, Bruce; Zöllei, Lilla; Alzheimer’s Disease Neuroimaging InitiativeNovember 1, 2020Not Determined
32497785Create StudyA Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration.NeuroImageLange, Frederik J; Ashburner, John; Smith, Stephen M; Andersson, Jesper L ROctober 1, 2020Not Determined
31215864Create StudyA connectional hub in the rostral anterior cingulate cortex links areas of emotion and cognitive control.eLifeTang, Wei; Jbabdi, Saad; Zhu, Ziyi; Cottaar, Michiel; Grisot, Giorgia; Lehman, Julia F; Yendiki, Anastasia; Haber, Suzanne NJune 19, 2019Not Determined
30916716Create StudyAssociation of Prenatal Cannabis Exposure With Psychosis Proneness Among Children in the Adolescent Brain Cognitive Development (ABCD) Study.JAMA psychiatryFine, Jeremy D; Moreau, Allison L; Karcher, Nicole R; Agrawal, Arpana; Rogers, Cynthia E; Barch, Deanna M; Bogdan, RyanJuly 1, 2019Not Determined
30261308Create StudyExtending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects.NeuroImageHarms, Michael P; Somerville, Leah H; Ances, Beau M; Andersson, Jesper; Barch, Deanna M; Bastiani, Matteo; Bookheimer, Susan Y; Brown, Timothy B; Buckner, Randy L; Burgess, Gregory C; Coalson, Timothy S; Chappell, Michael A; Dapretto, Mirella; Douaud, Gwenaëlle; Fischl, Bruce; Glasser, Matthew F; Greve, Douglas N; Hodge, Cynthia; Jamison, Keith W; Jbabdi, Saad; Kandala, Sridhar; Li, Xiufeng; Mair, Ross W; Mangia, Silvia; Marcus, Daniel; Mascali, Daniele; Moeller, Steen; Nichols, Thomas E; Robinson, Emma C; Salat, David H; Smith, Stephen M; Sotiropoulos, Stamatios N; Terpstra, Melissa; Thomas, Kathleen M; Tisdall, M Dylan; Ugurbil, Kamil; van der Kouwe, Andre; Woods, Roger P; Zöllei, Lilla; Van Essen, David C; Yacoub, EssaDecember 2018Relevant
30142446Create StudyThe Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds.NeuroImageSomerville, Leah H; Bookheimer, Susan Y; Buckner, Randy L; Burgess, Gregory C; Curtiss, Sandra W; Dapretto, Mirella; Elam, Jennifer Stine; Gaffrey, Michael S; Harms, Michael P; Hodge, Cynthia; Kandala, Sridhar; Kastman, Erik K; Nichols, Thomas E; Schlaggar, Bradley L; Smith, Stephen M; Thomas, Kathleen M; Yacoub, Essa; Van Essen, David C; Barch, Deanna MDecember 2018Relevant
29852283Create StudyAutomated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.NeuroImageBastiani, Matteo; Andersson, Jesper L R; Cordero-Grande, Lucilio; Murgasova, Maria; Hutter, Jana; Price, Anthony N; Makropoulos, Antonios; Fitzgibbon, Sean P; Hughes, Emer; Rueckert, Daniel; Victor, Suresh; Rutherford, Mary; Edwards, A David; Smith, Stephen M; Tournier, Jacques-Donald; Hajnal, Joseph V; Jbabdi, Saad; Sotiropoulos, Stamatios NJanuary 15, 2019Not Determined
29277648Create StudySusceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data.NeuroImageAndersson, Jesper L R; Graham, Mark S; Drobnjak, Ivana; Zhang, Hui; Campbell, JonMay 1, 2018Not Determined
28816791Create StudyResting-State Functional Connectivity in the Human Connectome Project: Current Status and Relevance to Understanding Psychopathology.Harvard review of psychiatryBarch, Deanna MSeptember 1, 2017Not Determined
helpcenter.collection.publications-tab

NDA Help Center

Collection - Publications

The number of Publications is displayed in parentheses next to the tab name. Clicking on any of the Publication Titles will open the Publication in a new internet browsing tab.

Collection Owners, Program Officers, and users with Submission or Administrative Privileges for the Collection may mark a publication as either Relevant or Not Relevant in the Status column.

Frequently Asked Questions

  • How can I determine if a publication is relevant?
    Publications are considered relevant to a collection when the data shared is directly related to the project or collection.
  • Where does the NDA get the publications?
    PubMed, an online library containing journals, articles, and medical research. Sponsored by NiH and National Library of Medicine (NLM).

Glossary

  • Create Study
    A link to the Create an NDA Study page that can be clicked to start creating an NDA Study with information such as the title, journal and authors automatically populated.
  • Not Determined Publication
    Indicates that the publication has not yet been reviewed and/or marked as Relevant or Not Relevant so it has not been determined whether an NDA Study is expected.
  • Not Relevant Publication
    A publication that is not based on data related to the aims of the grant/project associated with the Collection or not based on any data such as a review article and, therefore, an NDA Study is not expected to be created.
  • PubMed
    PubMed provides citation information for biomedical and life sciences publications and is managed by the U.S. National Institutes of Health's National Library of Medicine.
  • PubMed ID
    The PUBMed ID is the unique ID number for the publication as recorded in the PubMed database.
  • Relevant Publication
    A publication that is based on data related to the aims of the grant/project associated with the Collection and, therefore, an NDA Study is expected to be created.

Data Expected List: Mandatory Data Structures

These data structures are mandatory for your NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info icon
65503/31/2019
652
Approved

You can use "Add New Data Expected" to add exsiting structures and create your project's list. However, this is also the method you can use to request new structures be created for your project. When adding the Data Expected item, if the structure already exists you can locate it and specify your dates and enrollment. To add a new structure and request it be defined in the Data Dictionary, select Upload Definition and attach the definition or material needed to create it, including manual, codebooks, forms, etc. If you have multiple files, please upload a zipped archive containing them all.

Expected dates should be selected based on the standard Data Sharing Regimen and are restricted to within date ranges based on the project start and end dates.

Data Expected List: Data Structures per Research Aims

These data structures are specific to your research aims and should list all data structures in which data will be collected and submitted for this NDA Collection. Please update the Targeted Enrollment number to accurately represent the number of subjects you expect to submit for the entire study.

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Perceived Stress Scale info icon
1,00009/16/2019
436
Approved
Penn Emotion Recognition Task-40 info icon
1,00009/16/2019
629
Approved
Medical History info icon
1,00009/16/2019
652
Approved
Social Responsiveness Scale (SRS) info icon
1,20002/02/2020
651
Approved
NEO Personality Inventory info icon
1,00009/16/2019
229
Approved
Demographics info icon
1,00008/19/2019
652
Approved
Child Behavior Checklist (CBCL) info icon
1,00008/19/2019
500
Approved
Vital Signs Assessment info icon
1,00009/16/2019
652
Approved
Processed MRI Data info icon
65504/19/2019
652
Approved
Pubertal Development Scale (PDS) info icon
1,00009/16/2019
652
Approved
Wechsler Intelligence Scale for Children info icon
1,00009/16/2019
462
Approved
Wechsler Adult Intelligence Scale info icon
1,00009/16/2019
180
Approved
Substance Use Survey info icon
1,00009/16/2019
629
Approved
Childrens Behavior Questionnaire (CBQ) info icon
1,00009/16/2019
55
Approved
Kiddie-Sads (K-SADS) info icon
1,20002/02/2020
0
Approved
Wechsler Preschool Primary Scale Intelligence (WPPSI) info icon
1,00009/16/2019
2
Approved
Physical Exam info icon
65504/19/2019
652
Approved
Pittsburgh Sleep Quality Index info icon
1,00009/16/2019
151
Approved
Medications and Treatments Form info icon
1,00009/16/2019
652
Approved
Picture Sequence Memory info icon
1,00011/02/2019
473
Approved
Cognition Composite Scores info icon
1,00011/02/2019
471
Approved
Pattern Comparison Processing Speed info icon
1,00011/02/2019
472
Approved
List Sorting Working Memory Test info icon
1,00011/02/2019
472
Approved
Youth Self Report info icon
1,00009/16/2019
334
Approved
Drug Screen info icon
1,00011/02/2019
0
Approved
Adult Self Report info icon
1,00009/16/2019
151
Approved
Imaging (Structural, fMRI, DTI, PET, microscopy) info icon
65504/19/2019
652
Approved
Psychological Well-Being Summary info icon
1,00008/19/2019
483
Approved
Dimensional Change Card Sort Test info icon
1,00009/16/2019
472
Approved
Broad Psychopathology Form info icon
1,00011/02/2019
243
Approved
UPPS Impulsive Behavior Scale info icon
1,00011/02/2019
651
Approved
Social Isolation info icon
1,00011/01/2019
464
Approved
Behavioral Inhibition Scale/Behavioral Activation Scale info icon
1,00009/16/2019
651
Approved
Early Adolescent Temperament Questionnaire info icon
1,00009/16/2019
500
Approved
Delay Discounting Task info icon
1,00009/16/2019
641
Approved
Blood Sample Collection info icon
1,00009/16/2019
652
Approved
Flanker Task info icon
1,00011/02/2019
471
Approved
Anger info icon
1,00011/01/2019
483
Approved
Munich ChronoType Questionnaire info icon
1,00011/01/2019
479
Approved
Mini Mental State Exam info icon
1,00011/01/2019
340
Approved
Go-No Go Variant Task info icon
1,00011/01/2019
0
Approved
NIH Toolbox Oral Reading Recognition Test info icon
1,00011/01/2019
472
Approved
Picture Vocabulary Test info icon
1,00011/01/2019
471
Approved
Self Efficacy Survey info icon
1,00011/01/2019
473
Approved
NIH Toolbox Fear Anxiety Surveys info icon
1,00011/01/2019
362
Approved
NIH Toolbox Motor Domain info icon
1,00011/01/2019
472
Approved
Sadness Survey info icon
1,00011/01/2019
159
Approved
NIH Toolbox Sensation Domain info icon
1,00011/01/2019
473
Approved
NIH Toolbox Social Withdrawal info icon
1,00011/01/2019
159
Approved
NIH Toolbox Emphatic Behavior Survey info icon
1,00011/01/2019
159
Approved
NIH Toolbox Rejection Surveys info icon
1,00011/01/2019
482
Approved
NIH Toolbox Friendship Survey info icon
1,00011/01/2019
464
Approved
NIH Toolbox Perceived Hostility info icon
1,00011/01/2019
464
Approved
Sports and Activities Involvement Questionnaire info icon
1,00011/01/2019
500
Approved
Diagnostic Assessment Based on K-SADS info icon
1,00011/01/2019
0
Approved
PROMIS General Life Satisfaction info icon
1,00011/01/2019
458
Approved
Scanner Debriefing Interview info icon
1,00011/01/2019
637
Approved
Guessing Task info icon
1,00011/01/2019
0
Approved
General Behavior Inventory info icon
1,00011/01/2019
651
Approved
Family Environment Scale info icon
1,00009/16/2019
652
Approved
External Measures info icon
1,00011/01/2019
652
Approved
Screen Time info icon
1,00011/01/2019
651
Approved
Sleep Disturbance Questionnaire info icon
1,00011/01/2019
243
Approved
Emotion Task info icon
1,00011/01/2019
0
Approved
Language Experience Proficiency Questionnaire info icon
1,00011/01/2019
652
Approved
Structure not yet defined
No Status history for this Data Expected has been recorded yet
helpcenter.collection.data-expected-tab

NDA Help Center

Collection - Data Expected

The Data Expected tab displays the list of all data that NDA expects to receive in association with the Collection as defined by the contributing researcher, as well as the dates for the expected initial upload of the data, and when it is first expected to be shared, or with the research community. Above the primary table of Data Expected, any publications determined to be relevant to the data within the Collection are also displayed - members of the contributing research group can use these to define NDA Studies, connecting those papers to underlying data in NDA.

The tab is used both as a reference for those accessing shared data, providing information on what is expected and when it will be shared, and as the primary tracking mechanism for contributing projects. It is used by both contributing primary researchers, secondary researchers, and NIH Program and Grants Management staff.

Contributing researchers just getting started on their project will need to define this list by adding all of the items they are collecting under their grant and setting their schedule according to the NDA Data Sharing Regimen. If you fall into this category, you can begin by clicking "Add New Data Expected" and selecting which data structures you will be using, saving the page after each change, or requesting new structures by adding and naming a new item, providing any materials NDA Data Dictionary Curators can use to help define your structure. For more information see the tutorial on creating Data Expected.

If you are a contributing researcher creating this list for the first time, or making changes to the list as your project progress, please note the following:

  • Although items you add to the list and changes you make are displayed, they are not committed to the system until you Save the entire page using the "Save" button at the bottom of your screen. Please Save after every change to ensure none of your work is lost.
  • If you attempt to add a new structure, the title you provide must be unique - if another structure exists with the same name your change will fail.
  • Adding a new structure to this list is the only way to request the creation of a new Data Dictionary definition.

Frequently Asked Questions

  • What is an NDA Data Structure?
    An NDA Data Structure is comprised of multiple Data Elements to make up an electronic definition of an assessment, measure, questionnaire, etc will have a corresponding Data Structure.
  • What is the NDA Data Dictionary?
    The NDA Data Dictionary is comprised of electronic definitions known as Data Structures.

Glossary

  • Analyzed Data
    Data specific to the primary aims of the research being conducted (e.g. outcome measures, other dependent variables, observations, laboratory results, analyzed images, volumetric data, etc.) including processed images.
  • Data Item
    Items listed on the Data Expected list in the Collection which may be an individual and discrete Data Structure, Data Structure Category, or Data Structure Group.
  • Data Structure
    A defined organization and group of Data Elements to represent an electronic definition of a measure, assessment, questionnaire, or collection of data points. Data structures that have been defined in the NDA Data Dictionary are available at https://nda.nih.gov/general-query.html?q=query=data-structure
  • Data Structure Category
    An NDA term describing the affiliation of a Data Structure to a Category, which may be disease/disorder or diagnosis related (Depression, ADHD, Psychosis), specific to data type (MRI, eye tracking, omics), or type of data (physical exam, IQ).
  • Data Structure Group
    A Data Item listed on the Data Expected tab of a Collection that indicates a group of Data Structures (e.g., ADOS or SCID) for which data may be submitted instead of a specific Data Structure identified by version, module, edition, etc. For example, the ADOS Data Structure Category includes every ADOS Data Structure such as ADOS Module 1, ADOS Module 2, ADOS Module 1 - 2nd Edition, etc. The SCID Data Structure Group includes every SCID Data Structure such as SCID Mania, SCID V Mania, SCID PTSD, SCID-V Diagnosis, and more.
  • Evaluated Data
    A new Data Structure category, Evaluated Data is analyzed data resulting from the use of computational pipelines in the Cloud and can be uploaded directly back to a miNDAR database. Evaluated Data is expected to be listed as a Data Item in the Collection's Data Expected Tab.
  • Imaging Data
    Imaging+ is an NDA term which encompasses all imaging related data including, but not limited to, images (DTI, MRI, PET, Structural, Spectroscopy, etc.) as well as neurosignal data (EEG, fMRI, MEG, EGG, eye tracking, etc.) and Evaluated Data.
  • Initial Share Date
    Initial Submission and Initial Share dates should be populated according to the NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data will be shared with authorized users upon publication (via an NDA Study) or 1-2 years after the grant end date specified on the first Notice of Award, as defined in the applicable Data Sharing Terms and Conditions.
  • Initial Submission Date
    Initial Submission and Initial Share dates should be populated according to these NDA Data Sharing Terms and Conditions. Any modifications to these will go through the approval processes outlined above. Data for all subjects is not expected on the Initial Submission Date and modifications may be made as necessary based on the project's conduct.
  • Research Subject and Pedigree
    An NDA created Data Structure used to convey basic information about the subject such as demographics, pedigree (links family GUIDs), diagnosis/phenotype, and sample location that are critical to allow for easier querying of shared data.
  • Submission Cycle
    The NDA has two Submission Cycles per year - January 15 and July 15.
  • Submission Exemption
    An interface to notify NDA that data may not be submitted during the upcoming/current submission cycle.

Collection Owners and those with Collection Administrator permission, may edit a collection. The following is currently available for Edit on this page:

Associated Studies

Studies that have been defined using data from a Collection are important criteria to determine the value of data shared. The number of subjects column displays the counts from this Collection that are included in a Study, out of the total number of subjects in that study. The Data Use column represents whether or not the study is a primary analysis of the data or a secondary analysis. State indicates whether the study is private or shared with the research community.

Study NameAbstractCollection/Study SubjectsData UsageState
Diffusion Basis Spectrum Imaging Neuroinflammation Metrics in AdolescentsHuman obesity is related to alterations in brain structure and function. Rodent models of obesity show that diet-induced obesity causes neuroinflammation and impairment in learning and memory. In humans, non-invasive measurement of putative neuroinflammation is accomplished with diffusion-based magnetic resonance (MR) imaging. We have shown that, relative to normal-weight, obese adults have greater putative neuroinflammation, including indicators of cellularity and vasogenic edema, using diffusion basis spectrum imaging (DBSI) to model anisotropic and isotropic water diffusion in white matter tracts and regions of interest including hippocampus. Characterization of relationships between adiposity and brain structure and function in adolescents may provide insight into mechanisms underlying development of chronic overfeeding and obesity. Recently, Rapuano et al. (2020) used diffusion-based restricted spectrum imaging (RSI) to quantify putative neuroinflammation in reward-related brain regions in a large sample of 9 and 10 year old children enrolled in the Adolescent Brain Cognitive Development (ABCD) multi-site study and found that greater cellular density in the nucleus accumbens related to higher body mass index (BMI) and waist circumference at baseline and 1 year after MR imaging. We compared DBSI-measured putative neuroinflammation to those of RSI by selecting a sample of 9 and 10 year old children enrolled in the ABCD study representing a wide range of BMI categories (n=200 normal-weight; 50 overweight; 50 obese) and based on effect sizes and inclusion and exclusion criteria in the Rapuano et al. (2020) study. We hypothesize that greater neuroinflammation, as measured by DBSI, in white matter tracts and reward-related brain regions will relate to higher BMI and waist circumference at baseline and 1 year after MR imaging. Findings from the current study will provide insight into whether two different diffusion-based models yield convergent evidence regarding neuroinflammation and its relationship to adiposity in adolescents. 652/13751Secondary AnalysisPrivate
Environmental Risk Factors and Psychotic-like Symptoms in Children Aged 9-11Objective: Research implicates environmental risk factors, including correlates of urbanicity, deprivation, and environmental toxins, in psychotic-like experiences (PLEs). The current study examined associations between several types of environmental risk factors and PLEs in school-age children, whether these associations were specific to PLEs or generalized to other psychopathology, and examined possible neural mechanisms for significant associations. Method: The current study used data from 10,328 9-11-year-olds from the Adolescent Brain Cognitive Development (ABCD) study. Hierarchical linear models examined associations between PLEs and geocoded environmental risk factors, and whether associations generalized to internalizing/externalizing symptoms. Mediation models examined whether structural MRI abnormalities (e.g., intracranial volume) mediated associations between PLEs and environmental risk factors. Results: The results found specific types of environmental risk factors, namely measures of urbanicity (i.e., drug offense exposure, less perception of neighborhood safety), deprivation (including overall deprivation, rate of poverty, fewer years at residence), and lead exposure risk, were associated with PLEs. These associations showed evidence of stronger associations with PLEs than internalizing/externalizing symptoms (especially overall deprivation, poverty, drug offense exposure, and lead exposure risk). There was evidence that brain volume mediated between 11-25% of the associations between poverty, perception of neighborhood safety, and lead exposure risk with PLEs. Conclusions: These results are the first to find support for neural measures partially mediating the association between PLEs and environmental exposures. Furthermore, the current study replicated and extended recent findings of the association between PLEs and environmental exposures, finding evidence for specific associations with correlates of urbanicity, deprivation, and lead exposure risk. 11/11898Secondary AnalysisPrivate
A multi-cohort study of resting-state connectivity alterations in attention-deficit/hyperactivity disorderMost studies examining connectomic abnormalities associated with ADHD have used small, underpowered samples and thus produced inconsistent findings. Here we combined data from the Adolescent Brain Cognitive Development (ABCD) and Lifespan Human Connectome Project Development (HCP-D) cohorts (NDAR collections #2573, #2846 and #3165), as well as datasets from non-NDAR sources including the ADHD-200, Healthy Brain Network (HBN), National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) and Neurobehavioral Clinical Research (NCR) cohorts. We aimed to identify network-level resting-state features associated ADHD diagnosis and traits in this large multi-cohort sample. We applied the same 36-parameter+despiking pipeline to subjects from all datasets, and combined data using mega-analytic mixed models, which included nested random intercepts for study, site and family ID. In the group comparison, we compared 1301 subjects with diagnosed ADHD against 1301 unaffected controls (total N=2,602; 1710 males (65.72%); mean age=10.86 years, sd=2.05). Patients and controls were 1:1 nearest neighbor matched on in-scanner motion and key demographic variables. Associations between ADHD-traits and resting-state connectivity were assessed in a large multi-cohort sample (N=10,113). ADHD diagnosis was associated with less anticorrelation between the default mode and salience/ventral attention (B=0.009, t=3.45, p-FDR=0.004, d=0.14, 95% CI=0.004, 0.014), somatomotor (B=0.008, t=3.49, p-FDR=0.004, d=0.14, 95% CI=0.004, 0.013), and dorsal attention networks (B=0.01, t=4.28, p-FDR<0.001, d=0.17, 95% CI=0.006, 0.015). These results were robust to sensitivity analyses considering comorbid internalizing problems, externalizing problems and psychostimulant medication. Similar findings were observed when examining ADHD traits. Finding associations between ADHD and connectivity of the default mode to task-positive networks is consistent with default mode network models of disorder, although all effect sizes were small.494/8817Secondary AnalysisPrivate
Human Connectome Project-Development (HCP-D) Release 1.0Initial release of data from the Human Connectome Project in Development (ages 5-21). Release includes basic demographic data (sex, age, race/ethnicity, handedness) and unprocessed imaging data for all modalities (structural, resting state fMRI, task fMRI, diffusion, and ASL) for 655 subjects and preprocessed structural imaging data for 84 subjects. Full release documentation available at: https://www.humanconnectome.org/study/hcp-lifespan-development/documentation. 655/655Primary AnalysisShared
TEST Human Connectome Project-Development (HCP-D) Release 2.0 The 2.0 release of data from the Human Connectome Project in Development (healthy participants, ages 5-21) includes visit 1 (V1) preprocessed structural and functional imaging data, unprocessed V1 imaging data for all modalities (structural, resting state fMRI, task fMRI, diffusion, and ASL), and non-imaging demographic and behavioral assessment data for 652 participants. For a detailed description of all the measures included in this release, download the Lifespan HCP Release 2.0 Reference Manual at: https://www.humanconnectome.org/study/hcp-lifespan-development/documentation.655/655Primary AnalysisPrivate
A new perspective of human callosal streamline topography in vivo tractographyTopography of human callosal fibers in the midsagittal corpus callosum (mid-CC) in term of their cortical termination, which had seldom been studied in children, is inconsistent in literature. Even being a high-profile but controversial theme, heterotopic callosal bundles (HeCBs) have not been studied from a whole-brain perspective. Here, we used multimodal MRI data from Human Connectome Project-Development to explore these two topographic aspects with combination of whole brain tractography based on MSMT-CSD, post-tractography reducing-false-positive-streamline algorithm of COMMIT2 and the newly cortex parcellation atlas of HCP_MMP1.0. 652/652Primary AnalysisPrivate
Analyzing pediatric head movement during task-based functional MRI Background: Functional magnetic resonance imaging (fMRI) data can be particularly susceptible to noise from head motion in pediatric groups. Despite the abundance of methods to reduce head motion in pediatric populations, there has been little work on characterizing head motion in children during different task fmri conditions. Methods: This study utilizes a large public dataset (N=652, age 5-22y, The Lifespan Human Connectome Project Development Study) to compare head motion across age groups and four different scan conditions (Rest, Inhibitory Control task, Guessing task, and Emotion task). Head motion was quantified by calculating framewise displacement (fd) for each subject and condition from the motion parameter files generated by the studLJ͛s preprocessing pipeline. Results: As expected, fd decreased as age increased, with those 13 and younger exhibiting the most motion. Participants tended to exhibit the most head motion on the Inhibitory Control task, and the least on the Emotion task. This difference in head motion across scan conditions was most pronounced for the younger age groups. There was also a significant negative correlation between the mean fd and task performance on the Inhibitory Control task, indicating that those who moved more also exhibited worse response inhibition. Conclusion: These data demonstrate that different scan conditions lead to differences in head motion among pediatric participants. A more cognitively engaging, but relatively simple task (i.e., the Emotion task) led to less head motion than an equally engaging, but more difficult task (i.e., the Inhibitory Control task). While individual differences exist, age plays the largest role in determining head motion. Older individuals that have less difficulty performing a task also tended to move less. While pediatric participants exhibit more head motion than adults, future investigators may increase their success by using task components associated with less head motion652/652Secondary AnalysisPrivate
Decoding Age-specific Changes in Brain Functional Connectivity Using a Sliding-window Based Clustering MethodFunctional magnetic resonance imaging (fMRI) permits detailed study of human brain function. Understanding the age-specific development of neural circuits in the typically developing brain may help us generate new hypotheses for developmental psychopathologies. Functional connectivity (FC), defined as the statistical associations between two brain regions, has been widely used in estimating functional networks from fMRI data. Previous research has shown that the evolution of FC does not follow a linear trend, particularly from childhood to young adulthood. Thus, this work aims to detect the nuanced FC changes with age from the non-linear curves and identify age-period-specific FC development patterns. We proposed a sliding-window based clustering approach to identify refined age interval of FC development. We used resting-state fMRI (rs-fMRI) data from the human connectome project-development (HCP-D), which recruited children, adolescents, and young adults aged from 5 to 21 years. Our analyses revealed different developmental patterns of resting-state FC by sex. In general, females matured earlier than males, but males had a faster development rate during age 100 -120 months. We identified four developmental phases: network construction in late childhood, segregation and integration construction in adolescence, network pruning in young adulthood, and a unique phase in males -- U-shape development. In addition, we investigated the sex effect on the slopes of FC-age correlation. Males had higher slopes during late childhood and young adulthood. These results inform trajectories of normal FC development, information that can in the future be used to pinpoint when development might go awry in neurodevelopmental disorders.652/652Secondary AnalysisShared
Human Connectome Project-Development (HCP-D) Release 2.0The 2.0 release of data from the Human Connectome Project in Development (healthy participants, ages 5-21) includes visit 1 (V1) preprocessed structural and functional imaging data, unprocessed V1 imaging data for all modalities (structural, resting state fMRI, task fMRI, diffusion, and ASL), and non-imaging demographic and behavioral assessment data for 652 participants. For details of all the measures included in this release and access instructions see the Lifespan HCP-Development Release 2.0 documentation link below.652/652Primary AnalysisShared
Psychological Resilience and Neurodegenerative Risk: A Connectomics-Transcriptomics Investigation in Healthy Adolescent and Middle-Aged FemalesAdverse life events can inflict substantial long-term damage, which, paradoxically, has been posited to stem from initially adaptative responses to the challenges encountered in one’s environment. Thus, identification of the mechanisms linking resilience against recent stressors to longer-term psychological vulnerability is key to understanding optimal functioning across multiple timescales. To address this issue, our study tested the relevance of neuro-reproductive maturation and senescence, respectively, to both resilience and longer-term risk for pathologies characterised by accelerated brain aging, specifically, Alzheimer’s Disease (AD). Graph theoretical and partial least squares analyses were conducted on multimodal imaging, reported biological aging and recent adverse experience data from the Lifespan Human Connectome Project (HCP). Availability of reproductive maturation/senescence measures restricted our investigation to adolescent (N =178) and middle-aged (N=146) females. Psychological resilience was linked to age-specific brain senescence patterns suggestive of precocious functional development of somatomotor and control-relevant networks (adolescence) and earlier aging of default mode and salience/ventral attention systems (middle adulthood). Biological aging showed complementary associations with the neural patterns relevant to resilience in adolescence (positive relationship) versus middle-age (negative relationship). Transcriptomic and expression quantitative trait locus data analyses linked the neural aging patterns correlated with psychological resilience in middle adulthood to gene expression patterns suggestive of increased AD risk. Our results imply a partially antagonistic relationship between resilience against proximal stressors and longer-term psychological adjustment in later life. They thus underscore the importance of fine-tuning extant views on successful coping by considering the multiple timescales across which age-specific processes may unfold. 178/324Secondary AnalysisShared
Modelling the Developing Connectome - Graph Representation Learning with Variational AutoencodersThe functional development of the human brain exhibits high inter-subject variability, which is influenced by factors such as genetic predisposition, environmental influences and individual learning experiences. A broadly accessible imaging modality for analysis of the brain’s functional development is found in resting state functional Magnetic Resonance Imaging (rs-fMRI), a non-invasive imaging technique covering the whole brain. However, analysis of rs-fMRI data in the context of developmental studies is challenging. Compared to adults, paediatric cohorts show higher in-scanner movement, which leads to erroneous intensity changes in the signal. Such artefacts, if not accounted for, lead to systematic errors in subsequent rs-fMRI analysis. Furthermore, approaches for developmental rs- fMRI analysis must be able to capture general trends rather than individual differences due to inter-subject variability. In this work, a framework for analysis of the topological properties of the developing brain is presented. First, a paediatric preprocessing pipeline is developed and evaluated for its performance in removing in-scanner-movement-related artefacts. Second, an adaption of the graph-based Variational Autoencoder (VAE) is developed for representation learning on brain graphs derived from developmental rs- fMRI data in the age range of 7.5 to 18.5 years. Additionally, a graph-based conditional VAE is proposed, with the goal to enhance the VAE representation learning abilities. Furthermore, the VAEs are compared to a Bayesian regression baseline. The evaluation of the VAE-based approaches is threefold: First, the models’ brain graph reconstruction capabilities are evaluated in terms of the Mean Squared Error (MSE) and a correlation-based error measure. Second, the quality of datasets generated by the models is measured in terms of Maximum Mean Discrepancy (MMD) based on graph statistics distributions. Finally, the ability to capture developmental trajectories of a developmental dataset is investigated by statistical analysis using Network Based Statistic (NBS). Results show that the developmental processes available in the used dataset cannot be modelled exactly by the presented modelling approaches. Additionally, extending the VAE with a condition does not improve its representation learning capabilities. However, trends, such as the continuous development of the Default Mode Network (DMN), are captured successfully by the graph-based VAE. 249/249Primary AnalysisShared
In humans, striato-pallido-thalamic projections are largely segregated by their origin in either the matrix or striosome compartmentsCortico-striato-thalamo-cortical loops (CSTCs) are a fundamental organizing unit in the mammalian brain. CSTCs process limbic, associative, and sensorimotor information in largely segregated but interacting networks. The striatal limb of CTSC loops passes through the striatal compartments, striosome (aka patch) and matrix, twin pools of medium spiny neurons (MSNs) that have distinct embryologic origins, cortical and subcortical structural connectivity, susceptibility to injuries, and roles in animal behavior and human diseases. Striatal dopamine modulates basal activity in striosome and matrix in opposite directions, and striosomes alone project directly to nigral dopaminergic neurons. If CSTC projections favor one compartment, this segregation may be an anatomical basis for regulating discrete functions. We recently demonstrated that differential structural connectivity, as measured by probabilistic diffusion tractography, can distinguish striosome-like and matrix-like compartments in the living human striatum. We used this technique to assess compartment-level biases in the striato-pallido-thalamic limb of CSTCs in 221 healthy adults. Streamlines originating in striosome-like and matrix-like voxels diverge at the levels of the globus pallidus interna (GPi) and the thalamic nuclei. Compartment-specific streamlines were anatomically segregated at the level of the GPi: striosome connectivity was significantly more rostral, ventral, and lateral. Streamlines that originated in matrix-like voxels were 5.7-fold more likely to reach the GPi, recapitulating abundance measures in animal tract-tracing studies. Twenty thalamic nuclei met criteria for quantification: striosome-like connectivity dominated in nine nuclei; matrix-like connectivity dominated in eight nuclei; three nuclei had no significant bias. For 18 of 20 thalamic nuclei, matrix-like connectivity was lateralized (left>right hemisphere), independent of whether the nucleus was matrix-biased, striosome-biased, or neutral. These biases in structural connectivity suggest that routing CSTC loops through striosome or matrix is a fundamental mechanism for organizing and regulating behavior. Moreover, compartment-specific characterization may improve localization of striatal, pallidal, and thalamic pathologies in humans. 10/98Secondary AnalysisPrivate
* Data not on individual level
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