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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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
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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
UNC/UMN Baby Connectome Project
Jed Elison, Weili Lin 
This application is in response to the RFA-MH-16-160, entitled Lifespan Human Connectome Project (HCP): Baby Connectome. Investigators at The University of North Carolina at Chapel Hill (UNC) and The University of Minnesota (UMN) will join forces to accomplish the goals outlined by this RFA. The team at UNC has over 10 years of experience in recruiting and imaging typically developing and at-risk children, scanning over 1000 children from birth to five years1-40. Well established infrastructure at the Biomedical Research Imaging Center (BRIC) at UNC and Center for Magnetic Resonance Research (CMRR) at UMN are in place to recruit and retain pediatric subjects and facilitate the coordination of pediatric imaging studies. Our past and ongoing studies for imaging children (birth five years of age) without sedation have achieved an overall success rate of 81% and attrition rate of 29.3%. Our track record demonstrates that we possess the critical and essential components to successfully conduct longitudinal pediatric imaging studies focusing on early brain development, a critically-important aspect of this RFA. Our ability to recruit, retain, and image non-sedated, typically developing children is further strengthened by our image analysis team, which has developed novel image analysis tools specifically for early brain development. The expertise at UNC is complementary to and strengthened by the expertise of the team at UMN. The CMRR at UMN has been one of the leading groups in the HCP project and has developed novel MR imaging approaches to dramatically shorten data acquisition time. Furthermore, the team at UMN has extensive experience in behavioral and cognitive studies of early child development. Together, our combined team is well positioned to accomplish the goals of this RFA. To this end, a total of 500 typically developing children between birth and five years of age will be recruited across two data collection sites in a sequential cohort, accelerated longitudinal study design. The participants are divided into two main groups, longitudinal (n=285) and cross-sectional (n=215) groups, respectively. This hybrid longitudinal and cross-sectional design enables detailed characterization of early brain development from both brain structural/functional using MRI and behavioral aspects using behavioral assessments. All of the acquired images and behavioral assessments will undergo extensive quality assurance and control processes to ensure that high quality data is obtained and transferred to the Central Connectome Facility at Washington University. In addition, we will integrate novel image analysis tools, developed by our team onto the existing HCP pipelines.
Connectome Coordination Facility
01/31/2018
Human Connectome Project (HCP)
Funding Completed
Data Expected
Shared
No
$3,374,422.00
399
Loading Chart...
NIH - Extramural None


U01MH110274-01 UNC/UMN Baby Connectome Project 09/01/2016 05/31/2020 534 468 UNIV OF NORTH CAROLINA CHAPEL HILL $3,374,422.00

helpcenter.collection.general-tab

NDA Help Center

Collection - General

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 withAdministrator privileges, may upload and attach supporting documentation. By default, supporting documentation is shared to the general public, however, the optionis also available tolimit 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 capturedby 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 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.
  • 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.
  • 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

  • Actual Enrollment
    Number of human subjects enrolled in an NIH-funded clinical research study. The data is provided in annual progress reports.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Collection Title
    An editable field with the title of the Collection, which is often the title of the grant associated with the Collection.
  • 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
1414BCP Resting state 10/11/2019ApprovedfMRI
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.

Child Behavior Checklist (CBCL) 1-5 Clinical Assessments 181
Children's Social Understanding Scale Clinical Assessments 129
Dimensional Joint Attention Assessment Clinical Assessments 166
Early Childhood Behavior Questionnaire Clinical Assessments 97
Image Imaging 343
Infant Behavior Questionnaire Revised Clinical Assessments 169
Infant-Toddler Social-Emotional Assessment Clinical Assessments 228
Life Events Survey Clinical Assessments 275
MacArthur-Bates CDI - Words and Gestures Form Clinical Assessments 185
MacArthur-Bates CDI - Words and Sentences Form Clinical Assessments 88
Minnesota Executive Function Scale Clinical Assessments 148
Mullen Scales of Early Learning Clinical Assessments 305
Repetitive Behavior Scales - Early Childhood Supplement Clinical Assessments 248
Research Subject Clinical Assessments 281
SRS-2. Adult, Preschool and School Age Clinical Assessments 93
State-Trait Anxiety Inventory for Adults Clinical Assessments 246
Strengths and Difficulties Questionnaire Clinical Assessments 158
Video-Referenced Ratings of Reciprocal Social Behavior Clinical Assessments 189
Vineland-II - Parent and Caregiver Rating Form (2005) Clinical Assessments 206
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
36404295Create StudyResponding to joint attention as a developmental catalyst: Longitudinal associations with language and social responsiveness.Infancy : the official journal of the International Society on Infant StudiesLasch, Carolyn; Carlson, Stephanie M; Elison, Jed TNovember 20, 2022Not Determined
36053250Create StudyReference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionHu, Dan; Yin, Weiyan; Wu, Zhengwang; Chen, Liangjun; Wang, Li; Lin, Weili; Li, Gang; UNC/UMN Baby Connectome Project ConsortiumSeptember 1, 2021Not Determined
36053245Create StudyLearning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionZhao, Fenqiang; Wu, Zhengwang; Wang, Li; Lin, Weili; Xia, Shunren; Li, Gang; UNC/UMN Baby Connectome Project ConsortiumSeptember 1, 2021Not Determined
35994035Create StudyA Deep Network for Joint Registration and Parcellation of Cortical Surfaces.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionZhao, Fenqiang; Wu, Zhengwang; Wang, Li; Lin, Weili; Xia, Shunren; Li, Gang; UNC/UMN Baby Connectome Project ConsortiumSeptember 1, 2021Not Determined
35967125Create StudyHarmonized neonatal brain MR image segmentation model for cross-site datasets.Biomedical signal processing and controlChen, Jian; Sun, Yue; Fang, Zhenghan; Lin, Weili; Li, Gang; Wang, Li; UNC UMN Baby Connectome Project ConsortiumAugust 1, 2021Not Determined
35869272Create StudyAltered neural flexibility in children with attention-deficit/hyperactivity disorder.Molecular psychiatryYin, Weiyan; Li, Tengfei; Mucha, Peter J; Cohen, Jessica R; Zhu, Hongtu; Zhu, Ziliang; Lin, WeiliJuly 22, 2022Not Determined
35751994Create StudyResting-state functional connectivity identifies individuals and predicts age in 8-to-26-month-olds.Developmental cognitive neuroscienceKardan, Omid; Kaplan, Sydney; Wheelock, Muriah D; Feczko, Eric; Day, Trevor K M; Miranda-Domínguez, Óscar; Meyer, Dominique; Eggebrecht, Adam T; Moore, Lucille A; Sung, Sooyeon; Chamberlain, Taylor A; Earl, Eric; Snider, Kathy; Graham, Alice; Berman, Marc G; Uğurbil, Kamil; Yacoub, Essa; Elison, Jed T; Smyser, Christopher D; Fair, Damien A; Rosenberg, Monica DAugust 1, 2022Not Determined
35720673Create StudyLocal Extraction of Extra-Axial CSF from structural MRI.Proceedings of SPIE--the International Society for Optical EngineeringDeddah, Tahya; Styner, Martin; Prieto, JuanFebruary 1, 2022Not Determined
35720672Create StudyCONTINUITY: CONnectivity Tool with INtegration of sUbcortical regions, regIstration and visualization of TractographY.Proceedings of SPIE--the International Society for Optical EngineeringPiot, Elodie; Bagonis, Maria; Prieto, Juan C; Styner, MartinFebruary 1, 2022Not Determined
35528703Create StudyMulti-Scale Self-Supervised Learning for Multi-Site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts.Machine learning in medical imaging. MLMI (Workshop)Sun, Yue; Gao, Kun; Lin, Weili; Li, Gang; Niu, Sijie; Wang, LiSeptember 1, 2021Not Determined
35337965Create StudyDeep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.NeuroImageHeo, Keun-Soo; Shin, Dong-Hee; Hung, Sheng-Che; Lin, Weili; Zhang, Han; Shen, Dinggang; Kam, Tae-EuiJuly 1, 2022Not Determined
35301130Create StudyA 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.NeuroImageChen, Liangjun; Wu, Zhengwang; Hu, Dan; Wang, Ya; Zhao, Fenqiang; Zhong, Tao; Lin, Weili; Wang, Li; Li, GangJune 1, 2022Not Determined
35200037Create StudyDetection of Azoxystrobin Fungicide and Metabolite Azoxystrobin-Acid in Pregnant Women and Children, Estimation of Daily Intake, and Evaluation of Placental and Lactational Transfer in Mice.Environmental health perspectivesHu, Wenxin; Liu, Chih-Wei; Jiménez, Jessica A; McCoy, Eric S; Hsiao, Yun-Chung; Lin, Weili; Engel, Stephanie M; Lu, Kun; Zylka, Mark JFebruary 1, 2022Not Determined
35128548Create StudyConstruction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionChen, Liangjun; Wu, Zhengwang; Hu, Dan; Pei, Yuchen; Zhao, Fenqiang; Sun, Yue; Wang, Ya; Lin, Weili; Wang, Li; Li, Gang; UNC/UMN Baby Connectome Project ConsortiumSeptember 1, 2021Not Determined
34974250Create StudyDear reviewers: Responses to common reviewer critiques about infant neuroimaging studies.Developmental cognitive neuroscienceKorom, Marta; Camacho, M Catalina; Filippi, Courtney A; Licandro, Roxane; Moore, Lucille A; Dufford, Alexander; Zöllei, Lilla; Graham, Alice M; Spann, Marisa; Howell, Brittany; FIT’NG; Shultz, Sarah; Scheinost, DustinFebruary 1, 2022Not Determined
34942363Create StudyFiltering respiratory motion artifact from resting state fMRI data in infant and toddler populations.NeuroImageKaplan, Sydney; Meyer, Dominique; Miranda-Dominguez, Oscar; Perrone, Anders; Earl, Eric; Alexopoulos, Dimitrios; Barch, Deanna M; Day, Trevor K M; Dust, Joseph; Eggebrecht, Adam T; Feczko, Eric; Kardan, Omid; Kenley, Jeanette K; Rogers, Cynthia E; Wheelock, Muriah D; Yacoub, Essa; Rosenberg, Monica; Elison, Jed T; Fair, Damien A; Smyser, Christopher DFebruary 15, 2022Not Determined
34789554Create StudyExistence of Functional Connectome Fingerprint during Infancy and Its Stability over Months.The Journal of neuroscience : the official journal of the Society for NeuroscienceHu, Dan; Wang, Fan; Zhang, Han; Wu, Zhengwang; Zhou, Zhen; Li, Guoshi; Wang, Li; Lin, Weili; Li, Gang; UNC/UMN Baby Connectome Project ConsortiumJanuary 19, 2022Not Determined
34308440Create StudyEstimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionChen, Geng; Hong, Yoonmi; Zhang, Yongqin; Kim, Jaeil; Huynh, Khoi Minh; Ma, Jiquan; Lin, Weili; Shen, Dinggang; Yap, Pew-Thian; UNC/UMN Baby Connectome Project ConsortiumOctober 1, 2020Not Determined
34225011Create StudyABCnet: Adversarial bias correction network for infant brain MR images.Medical image analysisChen, Liangjun; Wu, Zhengwang; Hu, Dan; Wang, Fan; Smith, J Keith; Lin, Weili; Wang, Li; Shen, Dinggang; Li, Gang; Consortium, For Unc/Umn Baby Connectome ProjectAugust 1, 2021Not Determined
34195699Create StudyTract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionWu, Ye; Hong, Yoonmi; Ahmad, Sahar; Lin, Weili; Shen, Dinggang; Yap, Pew-Thian; UNC/UMN Baby Connectome Project ConsortiumOctober 1, 2020Not Determined
34035413Create StudyBrainwide functional networks associated with anatomically- and functionally-defined hippocampal subfields using ultrahigh-resolution fMRI.Scientific reportsChang, Wei-Tang; Langella, Stephanie K; Tang, Yichuan; Ahmad, Sahar; Zhang, Han; Yap, Pew-Thian; Giovanello, Kelly S; Lin, WeiliMay 25, 2021Not Determined
33784617Create StudyS3Reg: Superfast Spherical Surface Registration Based on Deep Learning.IEEE transactions on medical imagingZhao, Fenqiang; Wu, Zhengwang; Wang, Fan; Lin, Weili; Xia, Shunren; Shen, Dinggang; Wang, Li; Li, GangAugust 1, 2021Not Determined
33569552Create StudyUnsupervised Learning for Spherical Surface Registration.Machine learning in medical imaging. MLMI (Workshop)Zhao, Fenqiang; Wu, Zhengwang; Wang, Li; Lin, Weili; Xia, Shunren; Shen, Dinggang; Li, Gang; UNC/UMN Baby Connectome Project ConsortiumOctober 1, 2020Not Determined
33564753Create StudyA Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionChen, Liangjun; Wu, Zhengwang; Hu, Dan; Wang, Ya; Mo, Zhanhao; Wang, Li; Lin, Weili; Shen, Dinggang; Li, Gang; UNC/UMN Baby Connectome Program ConsortiumOctober 1, 2020Not Determined
33057030Create StudyInfants'' gaze exhibits a fractal structure that varies by age and stimulus salience.Scientific reportsStallworthy, Isabella C; Sifre, Robin; Berry, Daniel; Lasch, Carolyn; Smith, Tim J; Elison, Jed TOctober 14, 2020Not Determined
32868436Create StudyThe emergence of a functionally flexible brain during early infancy.Proceedings of the National Academy of Sciences of the United States of AmericaYin, Weiyan; Li, Tengfei; Hung, Sheng-Che; Zhang, Han; Wang, Li; Shen, Dinggang; Zhu, Hongtu; Mucha, Peter J; Cohen, Jessica R; Lin, WeiliSeptember 22, 2020Not Determined
32746154Create StudyDisentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.IEEE transactions on medical imagingHu, Dan; Zhang, Han; Wu, Zhengwang; Wang, Fan; Wang, Li; Smith, J Keith; Lin, Weili; Li, Gang; Shen, DinggangDecember 1, 2020Not Determined
32746115Create StudyHierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations.IEEE transactions on medical imagingLiu, Siyuan; Thung, Kim-Han; Lin, Weili; Shen, Dinggang; Yap, Pew-ThianNovember 1, 2020Not Determined
32746109Create StudyProbing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.IEEE transactions on medical imagingHuynh, Khoi Minh; Xu, Tiantian; Wu, Ye; Wang, Xifeng; Chen, Geng; Wu, Haiyong; Thung, Kim-Han; Lin, Weili; Shen, Dinggang; Yap, Pew-ThianNovember 1, 2020Not Determined
32396089Create StudyReal-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks.IEEE transactions on image processing : a publication of the IEEE Signal Processing SocietyLiu, Siyuan; Thung, Kim-Han; Lin, Weili; Yap, Pew-Thian; Shen, DinggangMay 8, 2020Not Determined
32128521Create StudySurface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionAhmad, Sahar; Wu, Zhengwang; Li, Gang; Wang, Li; Lin, Weili; Yap, Pew-Thian; Shen, Dinggang; UNC/UMN Baby Connectome Project ConsortiumOctober 1, 2019Not Determined
31930620Create StudyIndividual identification and individual variability analysis based on cortical folding features in developing infant singletons and twins.Human brain mappingDuan, Dingna; Xia, Shunren; Rekik, Islem; Wu, Zhengwang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, Dinggang; Li, GangJune 1, 2020Not Determined
31279215Create StudyXQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI.Medical image analysisChen, Geng; Dong, Bin; Zhang, Yong; Lin, Weili; Shen, Dinggang; Yap, Pew-ThianOctober 1, 2019Not Determined
31263805Create StudyRegistration-Free Infant Cortical Surface Parcellation using Deep Convolutional Neural Networks.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionWu, Zhengwang; Li, Gang; Li, Wang; Shi, Feng; Lin, Weili; Gilmore, John H; Shen, DinggangSeptember 1, 2018Not Determined
31115143Create StudyConstruction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch-based group-wise sparse representation.Human brain mappingWu, Zhengwang; Wang, Li; Lin, Weili; Gilmore, John H; Li, Gang; Shen, DinggangSeptember 1, 2019Not Determined
31071025Create StudyDenoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space.IEEE transactions on medical imagingChen, Geng; Dong, Bin; Zhang, Yong; Lin, Weili; Shen, Dinggang; Yap, Pew-ThianDecember 1, 2019Not Determined
31029865Create StudySuper-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation.Medical image analysisZhang, Yongqin; Yap, Pew-Thian; Chen, Geng; Lin, Weili; Wang, Li; Shen, DinggangJuly 1, 2019Not Determined
30957107Create StudyDual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionZhang, Yongqin; Cheng, Jie-Zhi; Xiang, Lei; Yap, Pew-Thian; Shen, DinggangSeptember 1, 2018Not Determined
30716056Create StudyHierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features.IEEE journal of biomedical and health informaticsHu, Dan; Wu, Zhengwang; Lin, Weili; Li, Gang; Shen, DinggangJanuary 1, 2020Not Determined
30498562Create StudyA COMPUTATIONAL METHOD FOR LONGITUDINAL MAPPING OF ORIENTATION-SPECIFIC EXPANSION OF CORTICAL SURFACE AREA IN INFANTS.Proceedings. IEEE International Symposium on Biomedical ImagingXia, Jing; Zhang, Caiming; Wang, Fan; Meng, Yu; Wu, Zhengwang; Wang, Li; Lin, Weili; Shen, Dinggang; Li, GangApril 1, 2018Not Determined
30472371Create StudyMR fingerprinting enables quantitative measures of brain tissue relaxation times and myelin water fraction in the first five years of life.NeuroImageChen, Yong; Chen, Meng-Hsiang; Baluyot, Kristine R; Potts, Taylor M; Jimenez, Jordan; Lin, Weili; UNC/UMN Baby Connectome Project ConsortiumFebruary 1, 2019Not Determined
30450154Create StudyESTIMATION OF SHAPE AND GROWTH BRAIN NETWORK ATLASES FOR CONNECTOMIC BRAIN MAPPING IN DEVELOPING INFANTS.Proceedings. IEEE International Symposium on Biomedical ImagingRekik, Islem; Li, Gang; Lin, Weili; Shen, DinggangApril 1, 2018Not Determined
30416672Create StudyCONSTRUCTION OF SPATIOTEMPORAL NEONATAL CORTICAL SURFACE ATLASES USING A LARGE-SCALE DATASET.Proceedings. IEEE International Symposium on Biomedical ImagingWu, Zhengwang; Li, Gang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, DinggangApril 1, 2018Not Determined
30416670Create StudyFETAL CORTICAL PARCELLATION BASED ON GROWTH PATTERNS.Proceedings. IEEE International Symposium on Biomedical ImagingXia, Jing; Zhang, Caiming; Wang, Fan; Benkarim, Oualid M; Sanroma, Gerard; Piella, Gemma; González Balleste, Miguel A; Hahner, Nadine; Eixarch, Elisenda; Shen, Dinggang; Li, GangApril 1, 2018Not Determined
30316743Create StudyDevelopment of Amygdala Functional Connectivity During Infancy and Its Relationship With 4-Year Behavioral Outcomes.Biological psychiatry. Cognitive neuroscience and neuroimagingSalzwedel, Andrew P; Stephens, Rebecca L; Goldman, Barbara D; Lin, Weili; Gilmore, John H; Gao, WeiJanuary 1, 2019Not Determined
30092545Create StudyA computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.Medical image analysisXia, Jing; Wang, Fan; Meng, Yu; Wu, Zhengwang; Wang, Li; Lin, Weili; Zhang, Caiming; Shen, Dinggang; Li, GangOctober 1, 2018Not Determined
29994137Create StudySparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.IEEE transactions on cyberneticsWang, Jun; Wang, Qian; Zhang, Han; Chen, Jiawei; Wang, Shitong; Shen, DinggangAugust 1, 2019Not Determined
29990581Create StudyResting-state functional MRI studies on infant brains: A decade of gap-filling efforts.NeuroImageZhang, Han; Shen, Dinggang; Lin, WeiliJanuary 15, 2019Not Determined
29700891Create StudyDiscovering cortical sulcal folding patterns in neonates using large-scale dataset.Human brain mappingMeng, Yu; Li, Gang; Wang, Li; Lin, Weili; Gilmore, John H; Shen, DinggangSeptember 1, 2018Not Determined
29673965Create StudyA review on neuroimaging studies of genetic and environmental influences on early brain development.NeuroImageGao, Wei; Grewen, Karen; Knickmeyer, Rebecca C; Qiu, Anqi; Salzwedel, Andrew; Lin, Weili; Gilmore, John HJanuary 15, 2019Not Determined
29578031Create StudyThe UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.NeuroImageHowell BR, Styner MA, Gao W, Yap PT, Wang L, Baluyot K, Yacoub E, Chen G, Potts T, Salzwedel A, Li G, Gilmore JH, Piven J, Smith JK, Shen D, Ugurbil K, Zhu H, Lin W, Elison JTMarch 2018Not Determined
29574734Create StudyCommentary: The neonatal brain and the challenge of imaging biomarkers, reflections on Batalle et al. (2018).Journal of child psychology and psychiatry, and allied disciplinesGilmore, John HApril 1, 2018Not Determined
29574033Create StudyComputational neuroanatomy of baby brains: A review.NeuroImageLi G, Wang L, Yap PT, Wang F, Wu Z, Meng Y, Dong P, Kim J, Shi F, Rekik I, Lin W, Shen DMarch 2018Not Determined
29568823Create StudyGraph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionKim J, Chen G, Lin W, Yap PT, Shen DSeptember 2017Not Determined
29317597Create StudyPreliminary evidence for genetic overlap between body mass index and striatal reward response.Translational psychiatryLancaster TM, Ihssen I, Brindley LM, Linden DEJanuary 2018Not Determined
29124254Create StudyDevelopmental Patterns Based Individualized Parcellation of Infant Cortical Surface.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionLi G, Wang L, Lin W, Shen DSeptember 2017Not Determined
29124253Create StudyExploring Gyral Patterns of Infant Cortical Folding based on Multi-view Curvature Information.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionDuan D, Xia S, Meng Y, Wang L, Lin W, Gilmore JH, Shen D, Li GSeptember 2017Not Determined
28902466Create StudyLearning-based deformable registration for infant MRI by integrating random forest with auto-context model.Medical physicsWei, Lifang; Cao, Xiaohuan; Wang, Zhensong; Gao, Yaozong; Hu, Shunbo; Wang, Li; Wu, Guorong; Shen, DinggangDecember 2017Not Determined
28824362Create StudyTest-Retest Reliability of "High-Order" Functional Connectivity in Young Healthy Adults.Frontiers in neuroscienceZhang, Han; Chen, Xiaobo; Zhang, Yu; Shen, DinggangJanuary 1, 2017Not Determined
28819140Create StudyEnhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering.Scientific reportsHou Y, Park SH, Wang Q, Zhang J, Zong X, Lin W, Shen DAugust 2017Not Determined
28665045Create StudyExtraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification.Human brain mappingChen X, Zhang H, Zhang L, Shen C, Lee SW, Shen DOctober 2017Not Determined
28624881Create StudyDiscriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis.Brain imaging and behaviorZhu X, Suk HI, Lee SW, Shen DJune 2017Not Determined
28603790Create StudyDual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images.Machine learning in medical imaging. MLMI (Workshop)Kim, Minjeong; Wu, Guorong; Rekik, Isrem; Shen, DinggangOctober 2016Not Determined
28358032Create StudyA Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease Diagnosis.Scientific reportsAn L, Adeli E, Liu M, Zhang J, Lee SW, Shen DMarch 2017Not Determined
28295833Create StudyCan we predict subject-specific dynamic cortical thickness maps during infancy from birth?Human brain mappingMeng Y, Li G, Rekik I, Zhang H, Gao Y, Lin W, Shen DJune 2017Not Determined
28284800Create StudyJoint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.NeuroImageRekik, Islem; Li, Gang; Yap, Pew-Thian; Chen, Geng; Lin, Weili; Shen, DinggangMay 2017Not Determined
28102945Create StudyLearning-based deformable image registration for infant MR images in the first year of life.Medical physicsHu, Shunbo; Wei, Lifang; Gao, Yaozong; Guo, Yanrong; Wu, Guorong; Shen, DinggangJanuary 2017Not Determined
27798142Create StudyLongitudinal Study of the Emerging Functional Connectivity Asymmetry of Primary Language Regions during Infancy.The Journal of neuroscience : the official journal of the Society for NeuroscienceEmerson RW, Gao W, Lin WOctober 2016Not Determined
27380969Create StudyLearning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.Human brain mappingMeng Y, Li G, Gao Y, Lin W, Shen DNovember 2016Not Determined
26874184Create StudyStructural and Maturational Covariance in Early Childhood Brain Development.Cerebral cortex (New York, N.Y. : 1991)Geng X, Li G, Lu Z, Gao W, Wang L, Shen D, Zhu H, Gilmore JHMarch 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.

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.
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
50007/15/2019
281
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
Mullen Scales of Early Learning info icon
50007/15/2019
305
Approved
Life Events Checklist info icon
50007/15/2019
275
Approved
Social Responsiveness Scale (SRS) info icon
35507/15/2019
93
Approved
Infant Behavior Questionnaire (IBQ) info icon
19507/15/2019
169
Approved
Child Behavior Checklist (CBCL) info icon
46007/15/2019
181
Approved
MacArthur Bates Communicative Development Inventory info icon
29507/15/2019
211
Approved
Repetitive Behavior Scale - Revised (RBS-R) info icon
49007/15/2019
248
Approved
Early Childhood Behavioral Questionnaire (ECBQ) info icon
28507/15/2019
97
Approved
State-Trait Anxiety Inventory for Adults info icon
50007/15/2019
246
Approved
Vineland (Parent and Caregiver) info icon
50007/15/2019
206
Approved
Imaging (Structural, fMRI, DTI, PET, microscopy) info icon
46007/15/2019
343
Approved
Video-Referenced Ratings of Reciprocal Social Behavior info icon
28507/15/2019
189
Approved
Broad Psychopathology Form info icon
46007/15/2019
158
Approved
Infant-Toddler Social-Emotional Assessment info icon
29507/15/2019
228
Approved
Minnesota Executive Function Scale (MEFS) info icon
46007/15/2019
148
Approved
Dimensional Joint Attention Assessment (DJAA) info icon
20507/15/2019
166
Approved
Children's Social Understanding Scale (CSUS) info icon
46007/15/2019
129
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. 343/13751Secondary AnalysisPrivate
Lateralization of brain activity in infants and toddlersThe cerebral lateralization of language, fine motor coordination and visuospatial abilities in humans has been studied extensively in adults, and direct relationships have been observed between the degree of skill in these domains and the degree of brain lateralization (e.g. Gotts et al., 2013). However, less is known about the developmental trajectory of brain lateralization, especially at the earliest ages. In the current study, we use fMRI data from the Baby Connectome project (Howell et al., 2019) to examine the overall organization and lateralization of resting-state brain activity in sleeping infants and toddlers from birth (0 months) through 5 years of age (N = 260 individuals). Each participant had anatomical scans (MPRAGE, T2) and 10 minutes of resting-state fMRI data, each initially aligned to an age-specific MNI template and subsequently to a common template (14-17 months of age, median age = 15 months). Organizing age into non-overlapping bins of approximately 50 participants each (0-6 mo., 7-11 mo., 12-16 mo., 17-24 mo, 25-70 mo.), the resting-state data in each bin were parcellated into networks across a range of thresholds using the InfoMap algorithm (as in Persichetti et al., 2021). Using a common threshold (top 10% of connections) that maximized split-half agreement and number of parcels within each age bin, parcellations were found to be highly similar across bins, with 4 large cortical parcels (Occipital, Lateral Temporal, Somatomotor, and Frontal) and 2 subcortical parcels (Basal Ganglia and Thalamus/Cerebellum). The only prominent changes observed across the age bins involved the differential grouping of the posterior cingulate cortex (PCC) and frontal cortex with the lateral temporal cortical parcels. At the youngest ages, these elements remain in separate parcels (0-6 mo.). From 7-11 months and older, the PCC is grouped with the lateral temporal cortex. Only at the oldest ages (25-70 months) was the frontal cortex grouped with the PCC and the lateral temporal parcels as is typical in adulthood, suggestive of the emergence of a language/speech system. Examining continuous effects of age within and across parcels (partialing head motion), prominent and widespread increases in long-range functional connectivity between parcels were observed with age, whereas increased local functional connectivity (within parcel) was only observed in occipital cortex (P<.028, q<.05 for all). Finally, the lateralization of the cortical parcels was examined using the Segregation (within-across hemisphere correlation) and Integration (within+across hemisphere correlation) metrics developed by Gotts et al. (2013). In contrast to the adult, the strongest lateralization effects were detected with the Integration metric, with left lateralization observed across ages for the PCC, Occipital, and Somatomotor parcels and right lateralization observed for the Frontal parcel. Left lateralization for the PCC parcel (which is part of the larger language system in the adult) was highly significant even for the earliest ages (0-6 mo., P=.0018, q<.05). Only the Occipital parcels exhibited lateralization with the Segregation metric (rightward) (P<.0039, q<.05 for all), and neither metric detected strong changes in lateralization over this age range. Taken together, the results suggest that much of the early changes in brain organization involve the establishment of long-range functional connections between large scale brain networks, and cerebral lateralization – while detectable from 0-6 months, differs markedly from the adult in both quantity and quality.260/260Secondary AnalysisPrivate
Leveraging artificial intelligence to develop novel tools for studying infant brain development Little is known about the growth trajectories of brain development across the first 24-months of life because of insufficient approaches to analyze infant MRI scans especially brain segmentation. This proposal leverages artificial intelligence to address unmet technical challenges in infant brain segmentation, to delineate the growth trajectories of brain structure/function and measure their relationship with neuropsychological functions, and to predict the developmental outcomes. Results from this study will yield a crucial new tool for studying developmental neuroscience and improve our capacity to efficiently measure and identify relevant infant brain structures, function, and their role in long-term development.50/50Secondary AnalysisShared
* Data not on individual level
helpcenter.collection.associated-studies-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

  • How do I associate a study to my collection?
    Studies are associated to the Collection automatically when the data is defined in the Study.

Glossary

  • Associated Studies Tab
    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.
Edit