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

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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
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Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
Amish Connectome Project on Mental Illness
Elliott Hong 
The Amish Connectome Project (ACP) will extend the Human Connectome Project (HCP) to mental illnesses by characterizing brain circuitry and its relation to psychiatric behavior and symptom dimensions. We propose to collect HCP connectomics and whole exome sequencing data in Old Order Amish (OOA) adults recruited from multigenerational families with multiplex mental disorders spanning diagnostic boundaries. Large nuclear families with two or more members with major DSM-5 disorder will be recruited for phenotyping using the full HCP lifespan imaging and behavioral protocol expanded to Research Domain Criteria (RDoC) standard. The advent of non-invasive connectivity-oriented neuroimaging methods has shed new light onto the inner workings of the brain. The brain's functional and structural connectome plays key roles in regulating the pathway from genes to neural systems to mental illnesses. Extending the gene→connectome HCP approach to gene→connectome→mental disorder in HCP-Human Disease adds tremendous opportunity to identify genetic underpinning of heritable mental disorders. ACP offers a uniquely efficient and powerful study design that is critical for a successful breakthrough. The ACP will study large, multigenerational families from a population isolate, which is a powerful statistical design for discovery of genetic linkage between connectomic traits and mental disorders. The OOA sample is unique in its relative genetic uniformity, with ancestry recorded in the NIH database and traceable back fourteen generations to limited founders. This sample is also unique because of its relative uniformity in educational background, life and work conditions, socioeconomic status and much reduced influence by illicit drugs. These unique characteristics of OOA community members, combined with their large family size, makes the OOA a powerful population sample to study the genetic factors that alter cerebral connectivity in mental disorders with familial pattern of inheritance. We will expand upon HCP protocol with the psychiatric diagnosis, broad symptom and RDoC dimensional assessments of behavior and cognition. Whole exome sequencing data will be obtained for all participants through next generation sequencing, plus standard SNP array or GWAS data. These data will be shared with the large research community while protecting the privacy, confidentiality and welfare of participants, with special attention given to protect the welfare of the OOA community. Medical genetic discoveries in OOA have routinely been replicated in general population samples and translated to clinical practice. We are inspired to create opportunities to allow repetitions of such success in brain connectome and in mental illness through shared data effort, and have assembled an efficient team to lead this endeavor.
Connectome Coordination Facility
03/27/2018
Human Connectome Project (HCP)
Funding Completed
Data Expected
Shared
No
$4,318,326.00
343
Loading Chart...
NIH - Extramural None


U01MH108148-01 Amish Connectome Project on Mental Illness 09/10/2015 06/30/2021 450 445 UNIVERSITY OF MARYLAND BALTIMORE $4,318,326.00

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
1711Whole genome sequencing (HiSeq) for Amish Connectome Project 03/09/2021ApprovedOmics
1716Whole genome sequencing (NovSeq) for Amish Connectome Project03/23/2021ApprovedOmics
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.

Dimensional Change Card Sort Test (DCCS) Clinical Assessments 343
Flanker Task Clinical Assessments 343
NIH Toolbox Emotion Domain - Emotional Support Survey Clinical Assessments 343
NIH Toolbox Emotion Domain - Friendship Survey Clinical Assessments 343
NIH Toolbox Emotion Domain - Perceived Hostility Surveys Clinical Assessments 343
NIH Toolbox Emotion Domain - Psychological Well-Being Clinical Assessments 343
NIH Toolbox Emotion Domain - Self-Efficacy Survey Clinical Assessments 343
NIH Toolbox List Sorting Working Memory Test Clinical Assessments 343
NIH Toolbox Oral Reading Recognition Test Clinical Assessments 343
NIH Toolbox Picture Vocabulary Test Clinical Assessments 343
Pattern Comparison Processing Speed Clinical Assessments 343
Perceived Stress Scale Clinical Assessments 343
Research Subject Clinical Assessments 343
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
36040723Create StudyBrain-wide versus genome-wide vulnerability biomarkers for severe mental illnesses.Human brain mappingKochunov, Peter; Ma, Yizhou; Hatch, Kathryn S; Jahanshad, Neda; Thompson, Paul M; Adhikari, Bhim M; Bruce, Heather; Van der Vaart, Andrew; Goldwaser, Eric L; Sotiras, Aris; Kvarta, Mark D; Ma, Tianzhou; Chen, Shuo; Nichols, Thomas E; Hong, L ElliotNovember 1, 2022Not Determined
35963506Create StudyCerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity.NeuroImageAdhikari, Bhim M; Hong, L Elliot; Zhao, Zhiwei; Wang, Danny J J; Thompson, Paul M; Jahanshad, Neda; Zhu, Alyssa H; Holiga, Stefan; Turner, Jessica A; van Erp, Theo G M; Calhoun, Vince D; Hatch, Kathryn S; Bruce, Heather; Hare, Stephanie M; Chiappelli, Joshua; Goldwaser, Eric L; Kvarta, Mark D; Ma, Yizhou; Du, Xiaoming; Nichols, Thomas E; Shuldiner, Alan R; Mitchell, Braxton D; Dukart, Juergen; Chen, Shuo; Kochunov, PeterNovember 15, 2022Not Determined
35698853Create StudyFrontal white matter association with sleep quality and the role of stress.Journal of sleep researchBruce, Heather A; Kochunov, Peter; Kvarta, Mark D; Goldwaser, Eric L; Chiappelli, Joshua; Schwartz, Adina; Lightner, Samantha; Endres, Jane; Yuen, Alexa; Ma, Yizhou; Van der Vaart, Andrew; Hatch, Kathryn S; Gao, Si; Ye, Zhenyao; Wu, Qiong; Chen, Shuo; Mitchell, Braxton D; Hong, L ElliotJune 14, 2022Not Determined
35112422Create StudyThe additive impact of cardio-metabolic disorders and psychiatric illnesses on accelerated brain aging.Human brain mappingRyan, Meghann C; Hong, L Elliot; Hatch, Kathryn S; Gao, Si; Chen, Shuo; Haerian, Krystl; Wang, Jingtao; Goldwaser, Eric L; Du, Xiaoming; Adhikari, Bhim M; Bruce, Heather; Hare, Stephanie; Kvarta, Mark D; Jahanshad, Neda; Nichols, Thomas E; Thompson, Paul M; Kochunov, PeterApril 15, 2022Not Determined
34890141Create StudyIdentifying highly heritable brain amyloid phenotypes through mining Alzheimer''s imaging and sequencing biobank data.Pacific Symposium on Biocomputing. Pacific Symposium on BiocomputingBao, Jingxuan; Wen, Zixuan; Kim, Mansu; Zhao, Xiwen; Lee, Brian N; Jung, Sang-Hyuk; Davatzikos, Christos; Saykin, Andrew J; Thompson, Paul M; Kim, Dokyoon; Zhao, Yize; Shen, Li; Alzheimer’s Disease Neuroimaging InitiativeJanuary 1, 2022Not Determined
34740793Create StudyComparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project.NeuroImageGao, Si; Donohue, Brian; Hatch, Kathryn S; Chen, Shuo; Ma, Tianzhou; Ma, Yizhou; Kvarta, Mark D; Bruce, Heather; Adhikari, Bhim M; Jahanshad, Neda; Thompson, Paul M; Blangero, John; Hong, L Elliot; Medland, Sarah E; Ganjgahi, Habib; Nichols, Thomas E; Kochunov, PeterDecember 15, 2021Not Determined
34517244Create StudyStressful life events and openness to experience: Relevance to depression.Journal of affective disordersChiappelli, Joshua; Kvarta, Mark; Bruce, Heather; Chen, Shuo; Kochunov, Peter; Hong, L ElliotDecember 1, 2021Not Determined
34387095Create StudyProgress and Research Priorities in Imaging Genomics for Heart and Lung Disease: Summary of an NHLBI Workshop.Circulation. Cardiovascular imagingNayor, Matthew; Shen, Li; Hunninghake, Gary M; Kochunov, Peter; Barr, R Graham; Bluemke, David A; Broeckel, Ulrich; Caravan, Peter; Cheng, Susan; de Vries, Paul S; Hoffmann, Udo; Kolossváry, Márton; Li, Huiqing; Luo, James; McNally, Elizabeth M; Thanassoulis, George; Arnett, Donna K; Vasan, Ramachandran SAugust 1, 2021Not Determined
33991855Create StudyMapping local and long-distance resting connectivity markers of TMS-related inhibition reduction in schizophrenia.NeuroImage. ClinicalHare, Stephanie M; Du, Xiaoming; Adhikari, Bhim M; Chen, Shuo; Mo, Chen; Summerfelt, Ann; Kvarta, Mark D; Garcia, Laura; Kochunov, Peter; Elliot Hong, LJanuary 1, 2021Not Determined
33650257Create StudyGenetic versus stress and mood determinants of sleep in the Amish.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric GeneticsBruce, Heather A; Kochunov, Peter; Chiappelli, Joshua; Savransky, Anya; Carino, Kathleen; Sewell, Jessica; Marshall, Wyatt; Kvarta, Mark; McMahon, Francis J; Ament, Seth A; Postolache, Teodor T; O'Connell, Jeff; Shuldiner, Alan; Mitchell, Braxton; Hong, L ElliotMarch 1, 2021Not Determined
33530016Create StudyComparison of regional brain deficit patterns in common psychiatric and neurological disorders as revealed by big data.NeuroImage. ClinicalKochunov, Peter; Ryan, Meghann C; Yang, Qifan; Hatch, Kathryn S; Zhu, Alyssa; Thomopoulos, Sophia I; Jahanshad, Neda; Schmaal, Lianne; Thompson, Paul M; Chen, Shuo; Du, Xiaoming; Adhikari, Bhim M; Bruce, Heather; Hare, Stephanie; Goldwaser, Eric L; Kvarta, Mark D; Nichols, Thomas E; Hong, L ElliotJanuary 1, 2021Not Determined
33493774Create StudyLocal versus long-range connectivity patterns of auditory disturbance in schizophrenia.Schizophrenia researchHare, Stephanie M; Adhikari, Bhim M; Du, Xiaoming; Garcia, Laura; Bruce, Heather; Kochunov, Peter; Simon, Jonathan Z; Hong, L ElliotFebruary 1, 2021Not Determined
32470572Create StudyIncreased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA.NeuroImageRadua, Joaquim; Vieta, Eduard; Shinohara, Russell; Kochunov, Peter; Quidé, Yann; Green, Melissa J; Weickert, Cynthia S; Weickert, Thomas; Bruggemann, Jason; Kircher, Tilo; Nenadić, Igor; Cairns, Murray J; Seal, Marc; Schall, Ulrich; Henskens, Frans; Fullerton, Janice M; Mowry, Bryan; Pantelis, Christos; Lenroot, Rhoshel; Cropley, Vanessa; Loughland, Carmel; Scott, Rodney; Wolf, Daniel; Satterthwaite, Theodore D; Tan, Yunlong; Sim, Kang; Piras, Fabrizio; Spalletta, Gianfranco; Banaj, Nerisa; Pomarol-Clotet, Edith; Solanes, Aleix; Albajes-Eizagirre, Anton; Canales-Rodríguez, Erick J; Sarro, Salvador; Di Giorgio, Annabella; Bertolino, Alessandro; Stäblein, Michael; Oertel, Viola; Knöchel, Christian; Borgwardt, Stefan; du Plessis, Stefan; Yun, Je-Yeon; Kwon, Jun Soo; Dannlowski, Udo; Hahn, Tim; Grotegerd, Dominik; Alloza, Clara; Arango, Celso; Janssen, Joost; Díaz-Caneja, Covadonga; Jiang, Wenhao; Calhoun, Vince; Ehrlich, Stefan; Yang, Kun; Cascella, Nicola G; Takayanagi, Yoichiro; Sawa, Akira; Tomyshev, Alexander; Lebedeva, Irina; Kaleda, Vasily; Kirschner, Matthias; Hoschl, Cyril; Tomecek, David; Skoch, Antonin; van Amelsvoort, Therese; Bakker, Geor; James, Anthony; Preda, Adrian; Weideman, Andrea; Stein, Dan J; Howells, Fleur; Uhlmann, Anne; Temmingh, Henk; López-Jaramillo, Carlos; Díaz-Zuluaga, Ana; Fortea, Lydia; Martinez-Heras, Eloy; Solana, Elisabeth; Llufriu, Sara; Jahanshad, Neda; Thompson, Paul; Turner, Jessica; van Erp, Theo; ENIGMA Consortium collaboratorsSeptember 1, 2020Not Determined
32463560Create StudyTranslating ENIGMA schizophrenia findings using the regional vulnerability index: Association with cognition, symptoms, and disease trajectory.Human brain mappingKochunov, Peter; Fan, Fengmei; Ryan, Meghann C; Hatch, Kathryn S; Tan, Shuping; Jahanshad, Neda; Thompson, Paul M; van Erp, Theo G M; Turner, Jessica A; Chen, Shuo; Du, Xiaoming; Adhikari, Bhim; Bruce, Heather; Hare, Stephanie; Goldwaser, Eric; Kvarta, Mark; Huang, Junchao; Tong, Jinghui; Cui, Yimin; Cao, Baopeng; Tan, Yunlong; Hong, L ElliotJanuary 1, 2022Not Determined
32310840Create StudyThe Role of Hippocampal Functional Connectivity on Multisystem Subclinical Abnormalities in Schizophrenia.Psychosomatic medicineHare, Stephanie M; Chiappelli, Joshua; Savransky, Anya; Adhikari, Bhim M; Wisner, Krista; Kvarta, Mark; Goldwaser, Eric; Du, Xiaoming; Chen, Shuo; Rowland, Laura M; Kochunov, Peter; Hong, L ElliotJuly 1, 2020Not Determined
32301246Create StudyENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research.Human brain mappingKochunov, Peter; Hong, L Elliot; Dennis, Emily L; Morey, Rajendra A; Tate, David F; Wilde, Elisabeth A; Logue, Mark; Kelly, Sinead; Donohoe, Gary; Favre, Pauline; Houenou, Josselin; Ching, Christopher R K; Holleran, Laurena; Andreassen, Ole A; van Velzen, Laura S; Schmaal, Lianne; Villalón-Reina, Julio E; Bearden, Carrie E; Piras, Fabrizio; Spalletta, Gianfranco; van den Heuvel, Odile A; Veltman, Dick J; Stein, Dan J; Ryan, Meghann C; Tan, Yunlong; van Erp, Theo G M; Turner, Jessica A; Haddad, Liz; Nir, Talia M; Glahn, David C; Thompson, Paul M; Jahanshad, NedaJanuary 1, 2022Not Determined
32198361Create StudyENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.Translational psychiatryThompson, Paul M; Jahanshad, Neda; Ching, Christopher R K; Salminen, Lauren E; Thomopoulos, Sophia I; Bright, Joanna; Baune, Bernhard T; Bertolín, Sara; Bralten, Janita; Bruin, Willem B; Bülow, Robin; Chen, Jian; Chye, Yann; Dannlowski, Udo; de Kovel, Carolien G F; Donohoe, Gary; Eyler, Lisa T; Faraone, Stephen V; Favre, Pauline; Filippi, Courtney A; Frodl, Thomas; Garijo, Daniel; Gil, Yolanda; Grabe, Hans J; Grasby, Katrina L; Hajek, Tomas; Han, Laura K M; Hatton, Sean N; Hilbert, Kevin; Ho, Tiffany C; Holleran, Laurena; Homuth, Georg; Hosten, Norbert; Houenou, Josselin; Ivanov, Iliyan; Jia, Tianye; Kelly, Sinead; Klein, Marieke; Kwon, Jun Soo; Laansma, Max A; Leerssen, Jeanne; Lueken, Ulrike; Nunes, Abraham; Neill, Joseph O'; Opel, Nils; Piras, Fabrizio; Piras, Federica; Postema, Merel C; Pozzi, Elena; Shatokhina, Natalia; Soriano-Mas, Carles; Spalletta, Gianfranco; Sun, Daqiang; Teumer, Alexander; Tilot, Amanda K; Tozzi, Leonardo; van der Merwe, Celia; Van Someren, Eus J W; van Wingen, Guido A; Völzke, Henry; Walton, Esther; Wang, Lei; Winkler, Anderson M; Wittfeld, Katharina; Wright, Margaret J; Yun, Je-Yeon; Zhang, Guohao; Zhang-James, Yanli; Adhikari, Bhim M; Agartz, Ingrid; Aghajani, Moji; Aleman, André; Althoff, Robert R; Altmann, Andre; Andreassen, Ole A; Baron, David A; Bartnik-Olson, Brenda L; Marie Bas-Hoogendam, Janna; Baskin-Sommers, Arielle R; Bearden, Carrie E; Berner, Laura A; Boedhoe, Premika S W; Brouwer, Rachel M; Buitelaar, Jan K; Caeyenberghs, Karen; Cecil, Charlotte A M; Cohen, Ronald A; Cole, James H; Conrod, Patricia J; De Brito, Stephane A; de Zwarte, Sonja M C; Dennis, Emily L; Desrivieres, Sylvane; Dima, Danai; Ehrlich, Stefan; Esopenko, Carrie; Fairchild, Graeme; Fisher, Simon E; Fouche, Jean-Paul; Francks, Clyde; Frangou, Sophia; Franke, Barbara; Garavan, Hugh P; Glahn, David C; Groenewold, Nynke A; Gurholt, Tiril P; Gutman, Boris A; Hahn, Tim; Harding, Ian H; Hernaus, Dennis; Hibar, Derrek P; Hillary, Frank G; Hoogman, Martine; Hulshoff Pol, Hilleke E; Jalbrzikowski, Maria; Karkashadze, George A; Klapwijk, Eduard T; Knickmeyer, Rebecca C; Kochunov, Peter; Koerte, Inga K; Kong, Xiang-Zhen; Liew, Sook-Lei; Lin, Alexander P; Logue, Mark W; Luders, Eileen; Macciardi, Fabio; Mackey, Scott; Mayer, Andrew R; McDonald, Carrie R; McMahon, Agnes B; Medland, Sarah E; Modinos, Gemma; Morey, Rajendra A; Mueller, Sven C; Mukherjee, Pratik; Namazova-Baranova, Leyla; Nir, Talia M; Olsen, Alexander; Paschou, Peristera; Pine, Daniel S; Pizzagalli, Fabrizio; Rentería, Miguel E; Rohrer, Jonathan D; Sämann, Philipp G; Schmaal, Lianne; Schumann, Gunter; Shiroishi, Mark S; Sisodiya, Sanjay M; Smit, Dirk J A; Sønderby, Ida E; Stein, Dan J; Stein, Jason L; Tahmasian, Masoud; Tate, David F; Turner, Jessica A; van den Heuvel, Odile A; van der Wee, Nic J A; van der Werf, Ysbrand D; van Erp, Theo G M; van Haren, Neeltje E M; van Rooij, Daan; van Velzen, Laura S; Veer, Ilya M; Veltman, Dick J; Villalon-Reina, Julio E; Walter, Henrik; Whelan, Christopher D; Wilde, Elisabeth A; Zarei, Mojtaba; Zelman, Vladimir; ENIGMA ConsortiumMarch 20, 2020Not Determined
32193296Create StudyThe genetic architecture of the human cerebral cortex.Science (New York, N.Y.)Grasby, Katrina L; Jahanshad, Neda; Painter, Jodie N; Colodro-Conde, Lucía; Bralten, Janita; Hibar, Derrek P; Lind, Penelope A; Pizzagalli, Fabrizio; Ching, Christopher R K; McMahon, Mary Agnes B; Shatokhina, Natalia; Zsembik, Leo C P; Thomopoulos, Sophia I; Zhu, Alyssa H; Strike, Lachlan T; Agartz, Ingrid; Alhusaini, Saud; Almeida, Marcio A A; Alnæs, Dag; Amlien, Inge K; Andersson, Micael; Ard, Tyler; Armstrong, Nicola J; Ashley-Koch, Allison; Atkins, Joshua R; Bernard, Manon; Brouwer, Rachel M; Buimer, Elizabeth E L; Bülow, Robin; Bürger, Christian; Cannon, Dara M; Chakravarty, Mallar; Chen, Qiang; Cheung, Joshua W; Couvy-Duchesne, Baptiste; Dale, Anders M; Dalvie, Shareefa; de Araujo, Tânia K; de Zubicaray, Greig I; de Zwarte, Sonja M C; den Braber, Anouk; Doan, Nhat Trung; Dohm, Katharina; Ehrlich, Stefan; Engelbrecht, Hannah-Ruth; Erk, Susanne; Fan, Chun Chieh; Fedko, Iryna O; Foley, Sonya F; Ford, Judith M; Fukunaga, Masaki; Garrett, Melanie E; Ge, Tian; Giddaluru, Sudheer; Goldman, Aaron L; Green, Melissa J; Groenewold, Nynke A; Grotegerd, Dominik; Gurholt, Tiril P; Gutman, Boris A; Hansell, Narelle K; Harris, Mathew A; Harrison, Marc B; Haswell, Courtney C; Hauser, Michael; Herms, Stefan; Heslenfeld, Dirk J; Ho, New Fei; Hoehn, David; Hoffmann, Per; Holleran, Laurena; Hoogman, Martine; Hottenga, Jouke-Jan; Ikeda, Masashi; Janowitz, Deborah; Jansen, Iris E; Jia, Tianye; Jockwitz, Christiane; Kanai, Ryota; Karama, Sherif; Kasperaviciute, Dalia; Kaufmann, Tobias; Kelly, Sinead; Kikuchi, Masataka; Klein, Marieke; Knapp, Michael; Knodt, Annchen R; Krämer, Bernd; Lam, Max; Lancaster, Thomas M; Lee, Phil H; Lett, Tristram A; Lewis, Lindsay B; Lopes-Cendes, Iscia; Luciano, Michelle; Macciardi, Fabio; Marquand, Andre F; Mathias, Samuel R; Melzer, Tracy R; Milaneschi, Yuri; Mirza-Schreiber, Nazanin; Moreira, Jose C V; Mühleisen, Thomas W; Müller-Myhsok, Bertram; Najt, Pablo; Nakahara, Soichiro; Nho, Kwangsik; Olde Loohuis, Loes M; Orfanos, Dimitri Papadopoulos; Pearson, John F; Pitcher, Toni L; Pütz, Benno; Quidé, Yann; Ragothaman, Anjanibhargavi; Rashid, Faisal M; Reay, William R; Redlich, Ronny; Reinbold, Céline S; Repple, Jonathan; Richard, Geneviève; Riedel, Brandalyn C; Risacher, Shannon L; Rocha, Cristiane S; Mota, Nina Roth; Salminen, Lauren; Saremi, Arvin; Saykin, Andrew J; Schlag, Fenja; Schmaal, Lianne; Schofield, Peter R; Secolin, Rodrigo; Shapland, Chin Yang; Shen, Li; Shin, Jean; Shumskaya, Elena; Sønderby, Ida E; Sprooten, Emma; Tansey, Katherine E; Teumer, Alexander; Thalamuthu, Anbupalam; Tordesillas-Gutiérrez, Diana; Turner, Jessica A; Uhlmann, Anne; Vallerga, Costanza Ludovica; van der Meer, Dennis; van Donkelaar, Marjolein M J; van Eijk, Liza; van Erp, Theo G M; van Haren, Neeltje E M; van Rooij, Daan; van Tol, Marie-José; Veldink, Jan H; Verhoef, Ellen; Walton, Esther; Wang, Mingyuan; Wang, Yunpeng; Wardlaw, Joanna M; Wen, Wei; Westlye, Lars T; Whelan, Christopher D; Witt, Stephanie H; Wittfeld, Katharina; Wolf, Christiane; Wolfers, Thomas; Wu, Jing Qin; Yasuda, Clarissa L; Zaremba, Dario; Zhang, Zuo; Zwiers, Marcel P; Artiges, Eric; Assareh, Amelia A; Ayesa-Arriola, Rosa; Belger, Aysenil; Brandt, Christine L; Brown, Gregory G; Cichon, Sven; Curran, Joanne E; Davies, Gareth E; Degenhardt, Franziska; Dennis, Michelle F; Dietsche, Bruno; Djurovic, Srdjan; Doherty, Colin P; Espiritu, Ryan; Garijo, Daniel; Gil, Yolanda; Gowland, Penny A; Green, Robert C; Häusler, Alexander N; Heindel, Walter; Ho, Beng-Choon; Hoffmann, Wolfgang U; Holsboer, Florian; Homuth, Georg; Hosten, Norbert; Jack Jr, Clifford R; Jang, MiHyun; Jansen (see original citation for additional authors)March 20, 2020Not Determined
31754041Create StudyCardiovascular risks impact human brain N-acetylaspartate in regionally specific patterns.Proceedings of the National Academy of Sciences of the United States of AmericaChiappelli, Joshua; Rowland, Laura M; Wijtenburg, S Andrea; Chen, Hongji; Maudsley, Andrew A; Sheriff, Sulaiman; Chen, Shuo; Savransky, Anya; Marshall, Wyatt; Ryan, Meghann C; Bruce, Heather A; Shuldiner, Alan R; Mitchell, Braxton D; Kochunov, Peter; Hong, L ElliotDecember 10, 2019Not Determined
31633254Create StudyEffects of ketamine and midazolam on resting state connectivity and comparison with ENIGMA connectivity deficit patterns in schizophrenia.Human brain mappingAdhikari, Bhim M; Dukart, Juergen; Hipp, Joerg F; Forsyth, Anna; McMillan, Rebecca; Muthukumaraswamy, Suresh D; Ryan, Meghann C; Hong, L Elliot; Eickhoff, Simon B; Jahandshad, Neda; Thompson, Paul M; Rowland, Laura M; Kochunov, PeterFebruary 15, 2020Not Determined
31527585Create StudyClinical and genetic validity of quantitative bipolarity.Translational psychiatryBruce, Heather A; Kochunov, Peter; Mitchell, Braxton; Strauss, Kevin A; Ament, Seth A; Rowland, Laura M; Du, Xiaoming; Fisseha, Feven; Kavita, Thangavelu; Chiappelli, Joshua; Wisner, Krista; Sampath, Hemalatha; Chen, Shuo; Kvarta, Mark D; Seneviratne, Chamindi; Postolache, Teodor T; Bellon, Alfredo; McMahon, Francis J; Shuldiner, Alan; Elliot Hong, LSeptember 16, 2019Not Determined
31352812Create StudyWhite Matter in Schizophrenia Treatment Resistance.The American journal of psychiatryKochunov, Peter; Huang, Junchao; Chen, Song; Li, Yanli; Tan, Shuping; Fan, Fengmei; Feng, Wei; Wang, Yunhui; Rowland, Laura M; Savransky, Anya; Du, Xiaoming; Chiappelli, Joshua; Chen, Shuo; Jahanshad, Neda; Thompson, Paul M; Ryan, Meghann C; Adhikari, Bhim; Sampath, Hemalatha; Cui, Yimin; Wang, Zhiren; Yang, Fude; Tan, Yunlong; Hong, L ElliotOctober 1, 2019Not Determined
31313441Create StudyFunctional network connectivity impairments and core cognitive deficits in schizophrenia.Human brain mappingAdhikari, Bhim M; Hong, L Elliot; Sampath, Hemalatha; Chiappelli, Joshua; Jahanshad, Neda; Thompson, Paul M; Rowland, Laura M; Calhoun, Vince D; Du, Xiaoming; Chen, Shuo; Kochunov, PeterNovember 1, 2019Not Determined
31123971Create StudyCingulum and abnormal psychological stress response in schizophrenia.Brain imaging and behaviorWisner, Krista M; Chiappelli, Joshua; Savransky, Anya; Fisseha, Feven; Rowland, Laura M; Kochunov, Peter; Hong, L ElliotApril 1, 2020Not Determined
31058523Create StudyA working memory related mechanism of auditory hallucinations.Journal of abnormal psychologyGaudiot, Christopher; Du, Xiaoming; Summerfelt, Ann; Hare, Stephanie M; Bustillo, Juan R; Rowland, Laura M; Hong, L ElliotJuly 1, 2019Not Determined
30969327Create StudyToward High Reproducibility and Accountable Heterogeneity in Schizophrenia Research.JAMA psychiatryKochunov, Peter; Thompson, Paul M; Hong, L ElliotJuly 1, 2019Not Determined
30927318Create StudyWhite matter and hypoxic hypobaria in humans.Human brain mappingMcGuire, Stephen A; Ryan, Meghann C; Sherman, Paul M; Sladky, John H; Rowland, Laura M; Wijtenburg, S Andrea; Hong, L Elliot; Kochunov, Peter VAugust 1, 2019Not Determined
30576563Create StudyAberrant Frontostriatal Connectivity in Negative Symptoms of Schizophrenia.Schizophrenia bulletinShukla, Dinesh K; Chiappelli, Joshua John; Sampath, Hemalatha; Kochunov, Peter; Hare, Stephanie M; Wisner, Krista; Rowland, Laura M; Hong, L ElliotSeptember 11, 2019Not Determined
30568264Create StudyBMI-related cortical morphometry changes are associated with altered white matter structure.International journal of obesity (2005)Medic, Nenad; Kochunov, Peter; Ziauddeen, Hisham; Ersche, Karen D; Nathan, Pradeep J; Ronan, Lisa; Fletcher, Paul CMarch 1, 2019Not Determined
30496643Create StudyGenomic kinship construction to enhance genetic analyses in the human connectome project data.Human brain mappingKochunov, Peter; Donohue, Brian; Mitchell, Braxton D; Ganjgahi, Habib; Adhikari, Bhim; Ryan, Meghann; Medland, Sarah E; Jahanshad, Neda; Thompson, Paul M; Blangero, John; Fieremans, Els; Novikov, Dmitry S; Marcus, Daniel; Van Essen, David C; Glahn, David C; Elliot Hong, L; Nichols, Thomas EApril 1, 2019Not Determined
30420620Create StudyElevated allostatic load early in the course of schizophrenia.Translational psychiatrySavransky, Anya; Chiappelli, Joshua; Fisseha, Feven; Wisner, Krista M; Xiaoming, Du; Mirmomen, S Milad; Jones, Aaron D; Adhikari, Bhim M; Bruce, Heather A; Rowland, Laura M; Hong, L ElliotNovember 12, 2018Not Determined
30191514Create StudyA resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol.Brain imaging and behaviorAdhikari, Bhim M; Jahanshad, Neda; Shukla, Dinesh; Turner, Jessica; Grotegerd, Dominik; Dannlowski, Udo; Kugel, Harald; Engelen, Jennifer; Dietsche, Bruno; Krug, Axel; Kircher, Tilo; Fieremans, Els; Veraart, Jelle; Novikov, Dmitry S; Boedhoe, Premika S W; van der Werf, Ysbrand D; van den Heuvel, Odile A; Ipser, Jonathan; Uhlmann, Anne; Stein, Dan J; Dickie, Erin; Voineskos, Aristotle N; Malhotra, Anil K; Pizzagalli, Fabrizio; Calhoun, Vince D; Waller, Lea; Veer, Ilja M; Walter, Hernik; Buchanan, Robert W; Glahn, David C; Hong, L Elliot; Thompson, Paul M; Kochunov, PeterOctober 2019Not Determined
30126607Create StudyAberrant Middle Prefrontal-Motor Cortex Connectivity Mediates Motor Inhibitory Biomarker in Schizophrenia.Biological psychiatryDu X, Choa FS, Chiappelli J, Wisner KM, Wittenberg G, Adhikari B, Bruce H, Rowland LM, Kochunov P, Hong LEJune 2018Not Determined
30052318Create StudyComparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline.Human brain mappingAdhikari BM, Jahanshad N, Shukla D, Glahn DC, Blangero J, Fox PT, Reynolds RC, Cox RW, Fieremans E, Veraart J, Novikov DS, Nichols TE, Hong LE, Thompson PM, Kochunov PJuly 2018Not Determined
30032068Create StudyTest-retest reliability of short-interval intracortical inhibition and intracortical facilitation in patients with schizophrenia.Psychiatry researchDu X, Hong LEJune 2018Not Determined
29960671Create StudyCortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium.Biological psychiatryvan Erp, Theo G M; Walton, Esther; Hibar, Derrek P; Schmaal, Lianne; Jiang, Wenhao; Glahn, David C; Pearlson, Godfrey D; Yao, Nailin; Fukunaga, Masaki; Hashimoto, Ryota; Okada, Naohiro; Yamamori, Hidenaga; Bustillo, Juan R; Clark, Vincent P; Agartz, Ingrid; Mueller, Bryon A; Cahn, Wiepke; de Zwarte, Sonja M C; Hulshoff Pol, Hilleke E; Kahn, René S; Ophoff, Roel A; van Haren, Neeltje E M; Andreassen, Ole A; Dale, Anders M; Doan, Nhat Trung; Gurholt, Tiril P; Hartberg, Cecilie B; Haukvik, Unn K; Jørgensen, Kjetil N; Lagerberg, Trine V; Melle, Ingrid; Westlye, Lars T; Gruber, Oliver; Kraemer, Bernd; Richter, Anja; Zilles, David; Calhoun, Vince D; Crespo-Facorro, Benedicto; Roiz-Santiañez, Roberto; Tordesillas-Gutiérrez, Diana; Loughland, Carmel; Carr, Vaughan J; Catts, Stanley; Cropley, Vanessa L; Fullerton, Janice M; Green, Melissa J; Henskens, Frans A; Jablensky, Assen; Lenroot, Rhoshel K; Mowry, Bryan J; Michie, Patricia T; Pantelis, Christos; Quidé, Yann; Schall, Ulrich; Scott, Rodney J; Cairns, Murray J; Seal, Marc; Tooney, Paul A; Rasser, Paul E; Cooper, Gavin; Shannon Weickert, Cynthia; Weickert, Thomas W; Morris, Derek W; Hong, Elliot; Kochunov, Peter; Beard, Lauren M; Gur, Raquel E; Gur, Ruben C; Satterthwaite, Theodore D; Wolf, Daniel H; Belger, Aysenil; Brown, Gregory G; Ford, Judith M; Macciardi, Fabio; Mathalon, Daniel H; O'Leary, Daniel S; Potkin, Steven G; Preda, Adrian; Voyvodic, James; Lim, Kelvin O; McEwen, Sarah; Yang, Fude; Tan, Yunlong; Tan, Shuping; Wang, Zhiren; Fan, Fengmei; Chen, Jingxu; Xiang, Hong; Tang, Shiyou; Guo, Hua; Wan, Ping; Wei, Dong; Bockholt, Henry J; Ehrlich, Stefan; Wolthusen, Rick P F; King, Margaret D; Shoemaker, Jody M; Sponheim, Scott R; De Haan, Lieuwe; Koenders, Laura; Machielsen, Marise W; van Amelsvoort, Therese; Veltman, Dick J; Assogna, Francesca; Banaj, Nerisa; de Rossi, Pietro; Iorio, Mariangela; Piras, Fabrizio; Spalletta, Gianfranco; McKenna, Peter J; Pomarol-Clotet, Edith; Salvador, Raymond; Corvin, Aiden; Donohoe, Gary; Kelly, Sinead; Whelan, Christopher D; Dickie, Erin W; Rotenberg, David; Voineskos, Aristotle N; Ciufolini, Simone; Radua, Joaquim; Dazzan, Paola; Murray, Robin; Reis Marques, Tiago; Simmons, Andrew; Borgwardt, Stefan; Egloff, Laura; Harrisberger, Fabienne; Riecher-Rössler, Anita; Smieskova, Renata; Alpert, Kathryn I; Wang, Lei; Jönsson, Erik G; Koops, Sanne; Sommer, Iris E C; Bertolino, Alessandro; Bonvino, Aurora; Di Giorgio, Annabella; Neilson, Emma; Mayer, Andrew R; Stephen, Julia M; Kwon, Jun Soo; Yun, Je-Yeon; Cannon, Dara M; McDonald, Colm; Lebedeva, Irina; Tomyshev, Alexander S; Akhadov, Tolibjohn; Kaleda, Vasily; Fatouros-Bergman, Helena; Flyckt, Lena; Karolinska Schizophrenia Project; Busatto, Geraldo F; Rosa, Pedro G P; Serpa, Mauricio H; Zanetti, Marcus V; Hoschl, Cyril; Skoch, Antonin; Spaniel, Filip; Tomecek, David; Hagenaars, Saskia P; McIntosh, Andrew M; Whalley, Heather C; Lawrie, Stephen M; Knöchel, Christian; Oertel-Knöchel, Viola; Stäblein, Michael; Howells, Fleur M; Stein, Dan J; Temmingh, Henk S; Uhlmann, Anne; Lopez-Jaramillo, Carlos; Dima, Danai; McMahon, Agnes; Faskowitz, Joshua I; Gutman, Boris A; Jahanshad, Neda; Thompson, Paul M; Turner, Jessica ANovember 2018Not Determined
29912445Create StudyAnterior Cingulate Glutamate and GABA Associations on Functional Connectivity in Schizophrenia.Schizophrenia bulletinShukla, Dinesh K; Wijtenburg, S Andrea; Chen, Hongji; Chiappelli, Joshua J; Kochunov, Peter; Hong, L Elliot; Rowland, Laura MApril 25, 2019Not Determined
29766458Create StudyCerebellar-Stimulation Evoked Prefrontal Electrical Synchrony Is Modulated by GABA.Cerebellum (London, England)Du X, Rowland LM, Summerfelt A, Choa FS, Wittenberg GF, Wisner K, Wijtenburg A, Chiappelli J, Kochunov P, Hong LEMay 2018Not Determined
29759942Create StudyTMS evoked N100 reflects local GABA and glutamate balance.Brain stimulationDu X, Rowland LM, Summerfelt A, Wijtenburg A, Chiappelli J, Wisner K, Kochunov P, Choa FS, Hong LEMay 2018Not Determined
29728648Create StudySalivary kynurenic acid response to psychological stress: inverse relationship to cortical glutamate in schizophrenia.Neuropsychopharmacology : official publication of the American College of NeuropsychopharmacologyChiappelli J, Rowland LM, Notarangelo FM, Wijtenburg SA, Thomas MAR, Pocivavsek A, Jones A, Wisner K, Kochunov P, Schwarcz R, Hong LEApril 2018Not Determined
29520060Create StudyInfluence of plasma cytokines on kynurenine and kynurenic acid in schizophrenia.Neuropsychopharmacology : official publication of the American College of NeuropsychopharmacologyChiappelli J, Notarangelo FM, Pocivavsek A, Thomas MAR, Rowland LM, Schwarcz R, Hong LEJuly 2018Not Determined
29365066Create StudyStructural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study.Brain : a journal of neurologyWhelan, Christopher D; Altmann, Andre; Botía, Juan A; Jahanshad, Neda; Hibar, Derrek P; Absil, Julie; Alhusaini, Saud; Alvim, Marina K M; Auvinen, Pia; Bartolini, Emanuele; Bergo, Felipe P G; Bernardes, Tauana; Blackmon, Karen; Braga, Barbara; Caligiuri, Maria Eugenia; Calvo, Anna; Carr, Sarah J; Chen, Jian; Chen, Shuai; Cherubini, Andrea; David, Philippe; Domin, Martin; Foley, Sonya; França, Wendy; Haaker, Gerrit; Isaev, Dmitry; Keller, Simon S; Kotikalapudi, Raviteja; Kowalczyk, Magdalena A; Kuzniecky, Ruben; Langner, Soenke; Lenge, Matteo; Leyden, Kelly M; Liu, Min; Loi, Richard Q; Martin, Pascal; Mascalchi, Mario; Morita, Marcia E; Pariente, Jose C; Rodríguez-Cruces, Raul; Rummel, Christian; Saavalainen, Taavi; Semmelroch, Mira K; Severino, Mariasavina; Thomas, Rhys H; Tondelli, Manuela; Tortora, Domenico; Vaudano, Anna Elisabetta; Vivash, Lucy; von Podewils, Felix; Wagner, Jan; Weber, Bernd; Yao, Yi; Yasuda, Clarissa L; Zhang, Guohao; Bargalló, Nuria; Bender, Benjamin; Bernasconi, Neda; Bernasconi, Andrea; Bernhardt, Boris C; Blümcke, Ingmar; Carlson, Chad; Cavalleri, Gianpiero L; Cendes, Fernando; Concha, Luis; Delanty, Norman; Depondt, Chantal; Devinsky, Orrin; Doherty, Colin P; Focke, Niels K; Gambardella, Antonio; Guerrini, Renzo; Hamandi, Khalid; Jackson, Graeme D; Kälviäinen, Reetta; Kochunov, Peter; Kwan, Patrick; Labate, Angelo; McDonald, Carrie R; Meletti, Stefano; O'Brien, Terence J; Ourselin, Sebastien; Richardson, Mark P; Striano, Pasquale; Thesen, Thomas; Wiest, Roland; Zhang, Junsong; Vezzani, Annamaria; Ryten, Mina; Thompson, Paul M; Sisodiya, Sanjay MFebruary 2018Not Determined
29277719Create StudyMiniature pig model of human adolescent brain white matter development.Journal of neuroscience methodsRyan MC, Sherman P, Rowland LM, Wijtenburg SA, Acheson A, Fieremans E, Veraart J, Novikov DS, Hong LE, Sladky J, Peralta PD, Kochunov P, Mcguire SAFebruary 2018Not Determined
29218892Create StudyHeritability estimates on resting state fMRI data using ENIGMA analysis pipeline.Pacific Symposium on Biocomputing. Pacific Symposium on BiocomputingAdhikari BM, Jahanshad N, Shukla D, Glahn DC, Blangero J, Reynolds RC, Cox RW, Fieremans E, Veraart J, Novikov DS, Nichols TE, Hong LE, Thompson PM, Kochunov PJanuary 2018Not Determined
29181875Create StudyIntegration of routine QA data into mega-analysis may improve quality and sensitivity of multisite diffusion tensor imaging studies.Human brain mappingKochunov, Peter; Dickie, Erin W; Viviano, Joseph D; Turner, Jessica; Kingsley, Peter B; Jahanshad, Neda; Thompson, Paul M; Ryan, Meghann C; Fieremans, Els; Novikov, Dmitry; Veraart, Jelle; Hong, Elliot L; Malhotra, Anil K; Buchanan, Robert W; Chavez, Sofia; Voineskos, Aristotle NFebruary 2018Not Determined
29054737Create StudyA novel DTI-QA tool: Automated metric extraction exploiting the sphericity of an agar filled phantom.Magnetic resonance imagingChavez S, Viviano J, Zamyadi M, Kingsley PB, Kochunov P, Strother S, Voineskos AFebruary 2018Not Determined
29038599Create StudyWidespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group.Molecular psychiatryKelly S, Jahanshad N, Zalesky A, Kochunov P, Agartz I, Alloza C, Andreassen OA, Arango C, Banaj N, Bouix S, Bousman CA, Brouwer RM, Bruggemann J, Bustillo J, Cahn W, Calhoun V, Cannon D, Carr V, Catts S, Chen J, Chen JX, Chen X, Chiapponi C, Cho KK, Ciullo V, et al.October 2017Not Determined
29036718Create StudyGlutamatergic Response to Heat Pain Stress in Schizophrenia.Schizophrenia bulletinChiappelli, Joshua; Shi, Qiaoyun; Wijtenburg, Sarah Andrea; Quiton, Raimi; Wisner, Krista; Gaston, Frank; Kodi, Priyadurga; Gaudiot, Christopher; Kochunov, Peter; Rowland, Laura M; Hong, Liyi ElliotJune 2018Not Determined
29036430Create StudyDelta Vs Gamma Auditory Steady State Synchrony in Schizophrenia.Schizophrenia bulletinPuvvada KC, Summerfelt A, Du X, Krishna N, Kochunov P, Rowland LM, Simon JZ, Hong LEFebruary 2018Not Determined
28834322Create StudyLipid Metabolism, Abdominal Adiposity, and Cerebral Health in the Amish.Obesity (Silver Spring, Md.)Ryan M, Kochunov P, Rowland LM, Mitchell BD, Wijtenburg SA, Fieremans E, Veraart J, Novikov DS, Du X, Adhikari B, Fisseha F, Bruce H, Chiappelli J, Sampath H, Ament S, O'Connell J, Shuldiner AR, Hong LENovember 2017Not Determined
28768312Create StudyAssociation of White Matter With Core Cognitive Deficits in Patients With Schizophrenia.JAMA psychiatryKochunov P, Coyle TR, Rowland LM, Jahanshad N, Thompson PM, Kelly S, Du X, Sampath H, Bruce H, Chiappelli J, Ryan M, Fisseha F, Savransky A, Adhikari B, Chen S, Paciga SA, Whelan CD, Xie Z, Hyde CL, Chen X, Schubert CR, O'Donnell P, Hong LESeptember 2017Not Determined
28617224Create StudyENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis.BMC bioinformaticsZhang G, Kochunov P, Hong E, Kelly S, Whelan C, Jahanshad N, Thompson P, Chen JJune 2017Not Determined
28498274Create StudyFornix Structural Connectivity and Allostatic Load: Empirical Evidence From Schizophrenia Patients and Healthy Controls.Psychosomatic medicineSavransky A, Chiappelli J, Rowland LM, Wisner K, Shukla DK, Kochunov P, Hong LESeptember 2017Not Determined
28487076Create StudyEvidence for differential opioid use disorder in schizophrenia in an addiction treatment population.Schizophrenia researchChiappelli J, Chen S, Hackman A, Elliot Hong LApril 2018Not Determined
28239525Create StudyReproducibility of tract-based white matter microstructural measures using the ENIGMA-DTI protocol.Brain and behaviorAcheson, Ashley; Wijtenburg, S Andrea; Rowland, Laura M; Winkler, Anderson; Mathias, Charles W; Hong, L Elliot; Jahanshad, Neda; Patel, Binish; Thompson, Paul M; McGuire, Stephen A; Sherman, Paul M; Kochunov, Peter; Dougherty, Donald MFebruary 2017Not Determined
28188958Create StudyPotassium channel gene associations with joint processing speed and white matter impairments in schizophrenia.Genes, brain, and behaviorBruce HA, Kochunov P, Paciga SA, Hyde CL, Chen X, Xie Z, Zhang B, Xi HS, O'Donnell P, Whelan C, Schubert CR, Bellon A, Ament SA, Shukla DK, Du X, Rowland LM, O'Neill H, Hong LEJune 2017Not Determined
28027496Create StudyAllostatic load and reduced cortical thickness in schizophrenia.PsychoneuroendocrinologyChiappelli J, Kochunov P, Savransky A, Fisseha F, Wisner K, Du X, Rowland LM, Hong LEMarch 2017Not Determined
27867023Create StudyThe role of white matter microstructure in inhibitory deficits in patients with schizophrenia.Brain stimulationDu, Xiaoming; Kochunov, Peter; Summerfelt, Ann; Chiappelli, Joshua; Choa, Fow-Sen; Hong, L ElliotMarch 2017Not Determined
27834215Create StudyDiffusion-weighted imaging uncovers likely sources of processing-speed deficits in schizophrenia.Proceedings of the National Academy of Sciences of the United States of AmericaKochunov P, Rowland LM, Fieremans E, Veraart J, Jahanshad N, Eskandar G, Du X, Muellerklein F, Savransky A, Shukla D, Sampath H, Thompson PM, Hong LENovember 2016Not Determined
27628235Create StudyN100 as a generic cortical electrophysiological marker based on decomposition of TMS-evoked potentials across five anatomic locations.Experimental brain researchDu X, Choa FS, Summerfelt A, Rowland LM, Chiappelli J, Kochunov P, Hong LEJanuary 2017Not Determined
27477775Create StudyHeterochronicity of white matter development and aging explains regional patient control differences in schizophrenia.Human brain mappingKochunov P, Ganjgahi H, Winkler A, Kelly S, Shukla DK, Du X, Jahanshad N, Rowland L, Sampath H, Patel B, O'Donnell P, Xie Z, Paciga SA, Schubert CR, Chen J, Zhang G, Thompson PM, Nichols TE, Hong LEDecember 2016Not Determined
27198848Create StudyA comprehensive tractography study of patients with bipolar disorder and their unaffected siblings.Human brain mappingSprooten E, Barrett J, Mckay DR, Knowles EE, Mathias SR, Winkler AM, Brumbaugh MS, Landau S, Cyr L, Kochunov P, Glahn DCOctober 2016Not Determined
27143602Create StudyTryptophan Metabolism and White Matter Integrity in Schizophrenia.Neuropsychopharmacology : official publication of the American College of NeuropsychopharmacologyChiappelli, Joshua; Postolache, Teodor T; Kochunov, Peter; Rowland, Laura M; Wijtenburg, S Andrea; Shukla, Dinesh K; Tagamets, Malle; Du, Xiaoming; Savransky, Anya; Lowry, Christopher A; Can, Adem; Fuchs, Dietmar; Hong, L ElliotSeptember 1, 2016Not Determined
27105171Create StudyCognitive profiles and heritability estimates in the Old Order Amish.Psychiatric geneticsKuehner RM, Kochunov P, Nugent KL, Jurius DE, Savransky A, Gaudiot C, Bruce HA, Gold J, Shuldiner AR, Mitchell BD, Hong LEAugust 2016Not Determined
26720179Create StudyFrontal Glutamate and γ-Aminobutyric Acid Levels and Their Associations With Mismatch Negativity and Digit Sequencing Task Performance in Schizophrenia.JAMA psychiatryRowland LM, Summerfelt A, Wijtenburg SA, Du X, Chiappelli JJ, Krishna N, West J, Muellerklein F, Kochunov P, Hong LEFebruary 2016Not Determined
26538488Create StudyHeritability of complex white matter diffusion traits assessed in a population isolate.Human brain mappingKochunov P, Fu M, Nugent K, Wright SN, Du X, Muellerklein F, Morrissey M, Eskandar G, Shukla DK, Jahanshad N, Thompson PM, Patel B, Postolache TT, Strauss KA, Shuldiner AR, Mitchell BD, Hong LEFebruary 2016Not Determined
26499807Create StudyThe common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects.NeuroImageKochunov P, Thompson PM, Winkler A, Morrissey M, Fu M, Coyle TR, Du X, Muellerklein F, Savransky A, Gaudiot C, Sampath H, Eskandar G, Jahanshad N, Patel B, Rowland L, Nichols TE, O'Connell JR, Shuldiner AR, Mitchell BD, Hong LEJanuary 2016Not Determined
26433899Create StudyConnectivity-Based Brain Parcellation: A Connectivity-Based Atlas for Schizophrenia Research.NeuroinformaticsWang Q, Chen R, Jaja J, Jin Y, Hong LE, Herskovits EHJanuary 2016Not Determined
26431803Create StudyDisrupted glucocorticoid--Immune interactions during stress response in schizophrenia.PsychoneuroendocrinologyChiappelli J, Shi Q, Kodi P, Savransky A, Kochunov P, Rowland LM, Nugent KL, Hong LEJanuary 2016Not Determined
26108347Create StudyPerfusion shift from white to gray matter may account for processing speed deficits in schizophrenia.Human brain mappingWright SN, Hong LE, Winkler AM, Chiappelli J, Nugent K, Muellerklein F, Du X, Rowland LM, Wang DJ, Kochunov POctober 2015Not Determined
26078102Create StudyEdge-Centered DTI Connectivity Analysis: Application to Schizophrenia.NeuroinformaticsHerskovits EH, Hong LE, Kochunov P, Sampath H, Chen ROctober 2015Not Determined
25824298Create StudyMedial frontal GABA is lower in older schizophrenia: a MEGA-PRESS with macromolecule suppression study.Molecular psychiatryRowland LM, Krause BW, Wijtenburg SA, Mcmahon RP, Chiappelli J, Nugent KL, Nisonger SJ, Korenic SA, Kochunov P, Hong LEFebruary 2016Not 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
45001/15/2019
343
Approved

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

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

Data Expected List: Data Structures per Research Aims

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

Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Perceived Stress Scale info icon
45001/15/2019
343
Approved
Pattern Comparison Processing Speed info icon
45001/15/2019
343
Approved
List Sorting Working Memory Test info icon
45001/15/2019
343
Approved
Psychological Well-Being Summary info icon
45001/15/2019
343
Approved
Dimensional Change Card Sort Test info icon
45001/15/2019
343
Approved
Flanker Task info icon
45001/15/2019
343
Approved
NIH Toolbox Oral Reading Recognition Test info icon
45001/15/2019
343
Approved
Picture Vocabulary Test info icon
45001/15/2019
343
Approved
Self Efficacy Survey info icon
45001/15/2019
343
Approved
NIH Toolbox Emotional Support Survey info icon
45001/15/2019
343
Approved
NIH Toolbox Friendship Survey info icon
45001/15/2019
343
Approved
NIH Toolbox Perceived Hostility info icon
45001/15/2019
343
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
No records found.
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