NDA Help Center

Collection - General Tab

The Collection's General Tab provides basic information about the study/project from which the underlying data was/will be collected.  Additional information includes funding amounts, associated grants, subject counts, and Supporting Documentation.  Additionally, a Venn diagram is provided to visualize the number of subjects for whom Clinical, Imaging+, and Omics data have been Shared and are, therefore, available to users who have access to the Permission Group with which the Collection is associated.  The Collection Owner and users with Administrative Privileges for the Collection may edit editable information on this tab.  Program officers for the grant(s) listed on the Collection’s General Tab may also edit this tab.  Users with Submission Privileges for the Collection may not edit the editable information on the General Tab; however, they can upload and attach Supporting Documentation.  The Collection's General Tab is publicly viewable regardless of whether the user has an NDA account.

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.


  • 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.

  • 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. 

  • The ABCD Data Repository houses all data generated by the Adolescent Brain Cognitive Development (ABCD) Study. The ABCD Study is supported by NIH partners (the National Institute on Drug Abuse, the National Institute on Alcohol Abuse and Alcoholism, the National Cancer Institute, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institute of Mental Health, the National Institute on Minority Health and Health Disparities, the National Institute of Neurological Disorders and Stroke, the NIH Office of Behavioral and Social Sciences Research, and the NIH Office of Research on Women’s Health), as well as the Centers for Disease Control and Prevention – Division of Adolescent and School Health.  This repository will store data generated by ABCD investigators, serve as a collaborative platform for harmonizing these data, and share those data with qualified researchers.

  • Typically considered Descriptive/Raw Data unless related to the primary aims of a study, Clinical Data includes diagnostic assessments, clinical measures, medical histories, demographic data, questionnaires, etc. Each set of clinical data is submitted to the NDA using a corresponding Data Structure in the NDA Data Dictionary.

  • A Collection is a virtual container into which data will be submitted and shared.  It also provides important information about the project, funding amounts, reported enrollment amounts, data sharing schedule, and results that will help program staff better evaluate the grant.  While the general rule is that one Collection is created for each grant, it may be appropriate to associated multiple grants with a single Collection in the case of collaborative projects or projects submitting data through a single site such as a Data Coordinating Center. 

  • The Collection ID number is a four digit number routinely expressed as C####.

  • 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 raw 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.

  • 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.

  • 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.

  • 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.

  • 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 - Submissions Tab

The Submissions Tab provides a list of submitted Datasets along with the corresponding ID, Date of Submission and Submission Loading Status. Public users do not have access to 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.
  • Report suspected or discovered Personally Identifiable Information in a submission.

Frequently Asked Questions

  • If you've received an email from NDA letting you know some of your data may contain errors, you can use the "Submissions with QA Errors" filter to view those uploads containing the data in question. By checking the box of one or more submission and clicking "Add to Filter Cart" you can proceed to package and download those files, then resolve the issues based on the instructions here.


  • 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 Submissions with QA Errors selection will provide a list view of only the datasets that have been identified as having post-submission QA errors. Using this filter you can easily identify and download the submissions containing data requiring attention.

NDA Help Center

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Frequently Asked Questions


NDA Help Center

Filter Cart

The Filter Cart provides a way to query and access data for which you may be interested.  There are multiple places to go query and Add to Filter Cart (Sometimes called Download).  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you add subjects, sometimes it may take a few minutes to populate.  You can continue to do other things during this time. 

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data available for the subjects selected will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be available.  However, if you want to see all of the clinical and phenotype, then select, "Find All Subject Data" to see all the data avaialble for those subjects.  

when a secord or third filter is applied, an AND condition is used to determine the subjects that are exist in all filters.  If the subject does not appear in any filter, that subjects data will be excluded from your filter cart. Given the sparcity of data in the NDA, it is possible for no subjects to appear across filters.  If that happens, clear your filter cart, and start over.  

The NDA is looking to enhance query/filtering.  Until additional tools become available, it is best to package more data than you need and then package and download the data and use other tools to further restrict and analyze the data.  If you have any questions on data access, are interested in using avaialble web services or need help accessing data, please contact us for assistance.  

Frequently Asked Questions



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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

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1 Numbers reported are subjects by age
New Trial
New Project

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

Please select an experiment type below

Collection - Use Existing Experiment

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

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

SelectExperiment IdExperiment NameExperiment Type
  • Select One
  • EEG
  • EGG
  • Eye Tracking
  • Omics
  • fMRI
Created On
1067Social Predictive CodingfMRI09/13/2018
1066Associative prediction of visual shape in the hippocampusfMRI09/13/2018
1065Resting StatefMRI08/29/2018
1039ruthptsd fmri 1fMRI08/22/2018
1037fMRI DoubleStep Task (Eye Tracking)Eye Tracking08/17/2018
1036Blanking TaskEye Tracking08/17/2018
1035fMRI DoubleStep TaskfMRI08/17/2018
1034Whole-brain, time-locked activation with simple tasks revealed using massive averaging and model-free analysis.fMRI08/15/2018
1033Task Dependence, Tissue Specificity, and Spatial Distribution of Widespread Activations in Large Single-Subject Functional MRI Datasets at 7TfMRI08/15/2018
1029Reductions in retrieval competition predict the benefit of repeated testingEEG08/10/2018
1028Shared understanding of narratives is correlated with shared neural responsesfMRI08/03/2018
1027Human hippocampal replay during rest prioritizes weakly-learned information and predicts memory performancefMRI08/02/2018
1025Adult broadband near-infrared spectroscopy (bbNIRS)EEG07/26/2018
1024Adult functional near-infrared spectroscopy (fNIRS)EEG07/24/2018
1022Standard Simon 4 RunsfMRI07/18/2018
1021Inferring neural tuning functions for orientation from voxel tuning functions fMRI07/16/2018
1020Whole brain functional connectivity measures of attention fMRI07/14/2018
1018Pavlovian Fear Conditioning - Fear RenewalfMRI07/13/2018
1017Pavlovian Fear Conditioning - Extinction RecallfMRI07/13/2018
1016Pavlovian Fear Conditioning - Fear Extinction LearningfMRI07/13/2018
1015Auditory Mis-matched NegativityEEG07/12/2018
1014Media multitasking, distraction, neural substrates, and mnemonic consequences - fMRIfMRI07/12/2018
1013NYSPI Resting fMRIfMRI07/12/2018
1012locationspaceEYEEye Tracking07/11/2018
1010Resting State fMRIfMRI07/10/2018
10092n-back Letter Matching fMRIfMRI07/10/2018
10081n-back Letter Matching fMRIfMRI07/10/2018
1007Number Matching CPT fMRIfMRI07/10/2018
1006Finger Tapping fMRIfMRI07/10/2018
1005functional scansfMRI07/10/2018
1004hd-EEG Sleep StudyEEG07/10/2018
995Ezogabine R61 Structural MRIfMRI07/10/2018
993Resting State - no stimulifMRI07/10/2018
Collection - Add Experiment
Add Supporting Documentation
Select File

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

Request Submission Exemption

Not Eligible

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

Collection Updated

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

[CMS] Attention

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

[CMS] Error

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

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

Please provide a reason for this change, which will be sent to the Program Officers listed within this collection:

Explanation must be between 20 and 200 bytes in length.

Please press Save or Cancel
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New Email Address

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


Title, investigators, and Collection Description may be edited along with the Collection Phase. For Collection Phase, the options Pre-enrollment, Enrollment, and Completed can be chosen allowing the Collection Owner to indicate the stage of data collection.

Funding Source

The ability to associate the funding source for the project is provided. For NIH funded grants, linkage to Project Reporter information (e.g. R01MH123456) is supported. Projects funded by others, including the URL of the project, are listed. Non NIH funded projects will become available here to link that data with the appropriate funding agency.

Supporting Documentation

Any documents related to the project may be uploaded clarifying the data or acquisition methods used may be uploaded and made available here. The default is to share these documents to the general public. An option to share only to qualified Researchers is also an option.

Clinical Trials

For clinical trials, the option to link to the clinical trial in clinicaltrials.gov is optionally provided.

Collection Summary Collection Charts
Collection Title Collection Investigators Collection Description
UNC/UMN Baby Connectome Project
Jed Elison, Weili Lin 
This application is in response to the RFA-MH-16-160, entitled Lifespan Human Connectome Project (HCP): Baby Connectome. Investigators at The University of North Carolina at Chapel Hill (UNC) and The University of Minnesota (UMN) will join forces to accomplish the goals outlined by this RFA. The team at UNC has over 10 years of experience in recruiting and imaging typically developing and at-risk children, scanning over 1000 children from birth to five years1-40. Well established infrastructure at the Biomedical Research Imaging Center (BRIC) at UNC and Center for Magnetic Resonance Research (CMRR) at UMN are in place to recruit and retain pediatric subjects and facilitate the coordination of pediatric imaging studies. Our past and ongoing studies for imaging children (birth five years of age) without sedation have achieved an overall success rate of 81% and attrition rate of 29.3%. Our track record demonstrates that we possess the critical and essential components to successfully conduct longitudinal pediatric imaging studies focusing on early brain development, a critically-important aspect of this RFA. Our ability to recruit, retain, and image non-sedated, typically developing children is further strengthened by our image analysis team, which has developed novel image analysis tools specifically for early brain development. The expertise at UNC is complementary to and strengthened by the expertise of the team at UMN. The CMRR at UMN has been one of the leading groups in the HCP project and has developed novel MR imaging approaches to dramatically shorten data acquisition time. Furthermore, the team at UMN has extensive experience in behavioral and cognitive studies of early child development. Together, our combined team is well positioned to accomplish the goals of this RFA. To this end, a total of 500 typically developing children between birth and five years of age will be recruited across two data collection sites in a sequential cohort, accelerated longitudinal study design. The participants are divided into two main groups, longitudinal (n=285) and cross-sectional (n=215) groups, respectively. This hybrid longitudinal and cross-sectional design enables detailed characterization of early brain development from both brain structural/functional using MRI and behavioral aspects using behavioral assessments. All of the acquired images and behavioral assessments will undergo extensive quality assurance and control processes to ensure that high quality data is obtained and transferred to the Central Connectome Facility at Washington University. In addition, we will integrate novel image analysis tools, developed by our team onto the existing HCP pipelines.
Loading Chart...
NIH - Extramural None

U01MH110274-01 UNC/UMN Baby Connectome Project 09/01/2016 05/31/2020 500 274 UNIV OF NORTH CAROLINA CHAPEL HILL $3,374,422.00

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


To create a new Omics, eye tracking, fMRI, or EEG experiment, press the "+ New Experiment" button. Once an experiment is created, then raw files for these types of experiments should be provided, associating the experiment – through Experiment_ID – with the metadata defined in the experiments interface.

IDNameCreated DateStatusType
No records found.

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.

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


Publications relevant to NDAR 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
29578031Create StudyThe UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.NeuroImageHowell BR, Styner MA, Gao W, Yap PT, Wang L, Baluyot K, Yacoub E, Chen G, Potts T, Salzwedel A, Li G, Gilmore JH, Piven J, Smith JK, Shen D, Ugurbil K, Zhu H, Lin W, Elison JTMarch 2018Not Determined
29574033Create StudyComputational neuroanatomy of baby brains: A review.NeuroImageLi G, Wang L, Yap PT, Wang F, Wu Z, Meng Y, Dong P, Kim J, Shi F, Rekik I, Lin W, Shen DMarch 2018Not Determined
29568823Create StudyGraph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionKim J, Chen G, Lin W, Yap PT, Shen DSeptember 2017Not Determined
29317597Create StudyPreliminary evidence for genetic overlap between body mass index and striatal reward response.Translational psychiatryLancaster TM, Ihssen I, Brindley LM, Linden DEJanuary 2018Not Determined
29124254Create StudyDevelopmental Patterns Based Individualized Parcellation of Infant Cortical Surface.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionLi G, Wang L, Lin W, Shen DSeptember 2017Not Determined
29124253Create StudyExploring Gyral Patterns of Infant Cortical Folding based on Multi-view Curvature Information.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionDuan D, Xia S, Meng Y, Wang L, Lin W, Gilmore JH, Shen D, Li GSeptember 2017Not Determined
28902466Create StudyLearning-based deformable registration for infant MRI by integrating random forest with auto-context model.Medical physicsWei L, Cao X, Wang Z, Gao Y, Hu S, Wang L, Wu G, Shen DDecember 2017Not Determined
28819140Create StudyEnhancement of Perivascular Spaces in 7 T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering.Scientific reportsHou Y, Park SH, Wang Q, Zhang J, Zong X, Lin W, Shen DAugust 2017Not Determined
28665045Create StudyExtraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification.Human brain mappingChen X, Zhang H, Zhang L, Shen C, Lee SW, Shen DOctober 2017Not Determined
28624881Create StudyDiscriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis.Brain imaging and behaviorZhu X, Suk HI, Lee SW, Shen DJune 2017Not Determined
28603790Create StudyDual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images.Machine learning in medical imaging. MLMI (Workshop)Kim M, Wu G, Rekik I, Shen DOctober 2016Not Determined
28358032Create StudyA Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer's Disease Diagnosis.Scientific reportsAn L, Adeli E, Liu M, Zhang J, Lee SW, Shen DMarch 2017Not Determined
28295833Create StudyCan we predict subject-specific dynamic cortical thickness maps during infancy from birth?Human brain mappingMeng Y, Li G, Rekik I, Zhang H, Gao Y, Lin W, Shen DJune 2017Not Determined
28284800Create StudyJoint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.NeuroImageRekik I, Li G, Yap PT, Chen G, Lin W, Shen DMay 2017Not Determined
28102945Create StudyLearning-based deformable image registration for infant MR images in the first year of life.Medical physicsHu S, Wei L, Gao Y, Guo Y, Wu G, Shen DJanuary 2017Not Determined
27798142Create StudyLongitudinal Study of the Emerging Functional Connectivity Asymmetry of Primary Language Regions during Infancy.The Journal of neuroscience : the official journal of the Society for NeuroscienceEmerson RW, Gao W, Lin WOctober 2016Not Determined
27668065Create StudyFULLY CONVOLUTIONAL NETWORKS FOR MULTI-MODALITY ISOINTENSE INFANT BRAIN IMAGE SEGMENTATION.Proceedings. IEEE International Symposium on Biomedical ImagingNie D, Wang L, Gao Y, Shen D2016Not Determined
27380969Create StudyLearning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.Human brain mappingMeng Y, Li G, Gao Y, Lin W, Shen DNovember 2016Not Determined
26874184Create StudyStructural and Maturational Covariance in Early Childhood Brain Development.Cerebral cortex (New York, N.Y. : 1991)Geng X, Li G, Lu Z, Gao W, Wang L, Shen D, Zhu H, Gilmore JHMarch 2017Not Determined

The Data Expected tab is a tracking and scheduling tool. It displays the data that is expected from the project, along with final expected enrollment counts and initial dates for the submission and sharing of the data. There are two types of Data Expected displayed:

  1. Data Expected from Relevant Publications: Publications reported in association with the Collection’s grant and determined as relevant to data expected for sharing are listed first. Any data specific to these publications are expected to be shared using the NDA Study feature. If a publication on this list is marked relevant in error, the PI of the project can correct the status in the Publications tab. Once created Studies are visible in the Associated Studies tab. When sharing a Study, only the outcome measures for the subjects/time-points specific to the publication are shared. Other data with share dates that have not yet been met as defined below remain embargoed. Investigators can initiate Study creation from this page when logged in.
  2. Data Expected by Data Structure: The table displayed second is defined by the investigator and lists all of the measures expected for sharing as defined in the Data Dictionary. Targeted Enrollment indicates the expected final unique subject count for that structure. Initial submission dates indicate when NDA should expect the first upload of those data, and initial sharing dates indicate when the first round of those data is expected to be shared. Click the i next to the Data Expected title to view the structures that are counted within that item.

Those with Administrator control over the Collection may also use the Data Expected tab to request an exemption period from an expected biannual submission by providing a timeframe and reason, and then saving the Collection. Please note the program officer of the associated grant may review this request.

  • Error: No Data Submission Agreement Received

Relevant Publications
PubMed IDStudyTitleJournalAuthorsDate
No records found.

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
Data ExpectedTargeted EnrollmentInitial SubmissionSubjects SharedStatus
Research Subject and Pedigree info iconApproved
Structure not yet defined

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.