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NDA Help Center


The NDA Query Tool provides a powerful interface to identify and access data. It enables users to select one or many types of queries, typically following a keyword search. Then, users add these selections to their Workspace.

The Workspace is the intermediate place for selecting and reviewing filters before submitting them to the Filter Cart. Once queries have been added to the Workspace and verified, the next step is to submit them to the Filter Cart.

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

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

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters). Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.).

Additional Tips:

  • You may add filters without an account, but to create a data package or add data to a study you will need to create an NDA user account and apply for access. Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA). Without access, you will not be able to obtain individual-level data.
  • Once you have selected data of interest you can click the 'Create data package / Add data to Study button' on the Filter Cart, this will take you the Data Packaging Page where you can:
    • Create a data package - This allows you to specify format for access/download
    • Add data to a Study - Add the selected data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release.
    • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected. Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the filter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

Frequently Asked Questions

  • What is a Filter Cart?
    Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.
  • How are selections from different tabs represented in the Workspace?
    Selections that have been added from different tabs are shown in the Workspace by the filter name they were created under. For example, when users add data to the Workspace from the ‘Data Dictionary’ tab, queries show up under a heading Filter: Data Dictionary. When users add to the Workspace from ‘Data from Labs’, queries display as Filter: Data from Labs. This allows you to review all the queries by differentiated tabs prior to putting the data from your Workspace into your Filter Cart.
  • What do I do after filters are added to the Filter Cart?

    After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.

  • How do I see all data associated with the subjects in my Filter Cart?
    Only pertinent data to the type of filter added is seen in the Filter Cart. For example, if a data structure is selected and added to the Workspace and then the Filter Cart, only those data within that specific structure are seen. To see all data for a set of subjects across structures, NDA Collections, or other containers, use the ‘Query by GUID’ option for the subjects of interest, or select ‘Find All Subjects’ from within the Filter Cart. After adding another type of filter, all subjects currently in the cart are captured and return all data associated with them. NOTE: ‘Query by GUID’ and ‘Find all Subject Data’ require that you are authenticated and have access to at least one of the NDA data repositories or NDA Collections.
  • How does Filter Cart Boolean logic work?

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

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

  • How do I create a data package?
    Once one or more query tools add data to the Filter Cart for download, data can be viewed and edited in the cart panel located in the upper right-hand corner of the page. Clicking ‘Create Data Package/Add to Study’ takes you to the Data Packaging Page. On the Data Packaging Page, data returned by the query is viewable. The panel to the left displays the source NDA Collections of all the data, and the panel to the right displays a list of all the Data Structures included. Users can check or uncheck NDA Collections and Data Structures to remove or include in each newly created package. Individual subjects must be in both a checked NDA Collection and a checked Data Structure to be included.


  • Add to Filter Cart
    Once queries are added to the Workspace and verified, the next step is to submit them to the Filter Cart.
  • Clear Selections
    The Clear Selections button allows you to remove selections that you made prior to adding them to your Workspace. It does not clear your Workspace, Filter Cart, or search results.

Data from Papers

Data from Papers are 'NDA Studies', which contain analyzed data from one or more NDA Collections (datasets from a grant or project). Search for datasets from research publications, computational pipelines, and curated data releases.

NDA Studies are linked to individual-level data from one or more NDA collections. If you have data access or access to the underlying collections, you can also access the analyzed data and associated files.

904 Results Found Detail View | Table View

NDA Help Center

Data from Papers

Data from Papers is an inventory of all shared NDA Studies. An NDA Study is a container for data and metadata specific to a finding, publication, or data release and may be shared for authorized access even if the original dataset remains embargoed. The Data from Papers tool is a data browser where you can search and filter NDA Studies and then select to add one or multiple NDA Studies to your Workspace. Identify NDA Studies of interest by filtering for free text, Study Type, Permission Group, NIH Research Initiative, or Organization. Each NDA Study tile contains charts with numbers of shared subjects by sex, age, and data type. Data type is broken down by imaging (such as neurosignal recordings), omics, and clinical data.

All selections in the Data from Papers tab will run an 'OR' condition in the NDA database. Subjects with data in any of the selections will be included in the Filter Cart.

Select Add New Study to open the NDA Study Tool and create an NDA Study. From the NDA Study Tool you can add details about the study, attach data analysis and results files, and add NDA Data related to a finding, publication, or data release.

Frequently Asked Questions

  • What is Data from Papers?
    Data from Papers is a list of NDA Studies. Each NDA Study represents a publication or result based on data contained in NDA and serves as a link between the publication/release and underlying data. Adding an NDA Study to your Filter Cart from the list, using the text search boxes to narrow down results, provides the number of primary and secondary measures, the number of subjects by cohort, and the results which can be viewed in each NDA Study. Every NDA Study displays a snapshot chart of the shared subjects’ data it includes. Subject demographic information, such as sex and age range, are displayed along with a breakdown of the Imaging (such as Neurosignal Recordings), Omics, and Clinical Data that were used for a given NDA Study.
  • What is an NDA Study?
    An NDA Study is a container on the NDA website that defines specific subjects and measures relevant to a publication and links this data back to the publication/finding or data release.
  • How do I add data to a Study Cohort?

    To add data/subjects to a cohort, first create a new NDA Study in your user account. Then, within that NDA Study, create an empty cohort. This is in the ‘Data from Papers’ section of the website. Fill in the text boxes ‘Type’, ‘Name’, ‘Sex’, and ‘Age From’ range.

    Add subjects by creating a query filter just as if you were downloading the data. Once the filter is applied, resulting subjects appear in the Filter Cart at the top right-hand corner of the page. This takes you to the Data Packaging Page where specific measures and NDA Collections are assigned to the NDA Study previously created by clicking ‘Add to Study Cohort,’ and selecting the correct Study and Cohort.

  • How do I use Text Search in Data from Papers?
    The ‘Text Search’ function is useful if you generally know what you’re looking for in the Data from Papers tab but are unsure of the specifics. Type in a relevant word or name that you’re searching for and the tool will sort through Titles, Abstracts, Investigators, Publications and DOIs. If you want to search by a specific NDA Collection id, type it in the following format: id:xxx where xxx is the specific NDA Study you are interested in, e.g., id:500.


  • Data Source
    Data Source defines the affiliation of the data. It represents the data repository (sometimes referred to as a permission group) and the affiliation with a selected consortia.
  • Digital Object Identifier (DOI)

    A Digital Object Identifier (DOI) is a URN (Uniform Resource Name), a compact string that provides a unique, persistent, and actionable identifier for the digital object with which it is associated. DOIs are commonly assigned to scientific articles in their electronic form, but DOIs may also be used as identifiers for any object in any location, although this usage is not yet common outside the online world.

    Each NDA Study has a Digital Object Identifier (DOI), which is a persistent link that should be used to reliably cite or reference the data supporting publication.

  • NDA Study
    Researchers are expected to associate the data deposited in NDA with their publications/findings – both positive and negative - using the NDA Study feature. An NDA Study shares the specific data it references, enabling other data to remain embargoed, allowing a project to release data for a specific aim when that aim is published or a finding is made. An NDA Study is automatically issued a DOI and can be searched and accessed though the General Query or Data from Papers interface.
  • Organization
    The institution, business, or research center responsible for submitting Data.
  • 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.
  • Principal Investigator
    The individual(s) designated by the applicant organization that has the responsibility and proper level of authority to direct the project or program supported by the award. The applicant organization may designate multiple individuals as program directors/principal investigators (PD/PIs) who share the authority and responsibility for leading and directing the project, intellectually and logistically.
  • PubMed ID
    PubMed ID (PMID) is the unique identifier number used in PubMed. PMIDs are assigned to each article record when it enters the PubMed system, so an in press publication will not have one unless it is issued as an electronic pre-pub. The PMID number is always found at the end of a PubMed citation.
  • Study Type

    NDA offers various Study Types: Analysis, Clinical Trial, Finding, Release Study, and Release-Archived.

    • Analysis: is often associated with a computational pipeline.
    • Clinical Trial: relates to diagnostic assessments, clinical measures, medical histories, demographic data, and questionnaires.
    • Finding: a result associated with a publication.
    • Release Study: a static, curated data set.
    • Release-Archived: represents a snapshot release of a dynamic dataset that has been superseded by a more recent version. These data may only be appropriate for archival purposes, or to cite if this was the original dataset used in an analysis.
  • Data Usage

    In the Data from Papers tab, Data Usage refers to All data contained in NDA, data from only Primary Analysis, or data from only Secondary Analysis.

    Primary Analysis is defined as the initial grantee or Collection who contributed the first data allowing NDA to link all information on research participants, giving other researchers the ability to use the data to advance science together through secondary analysis.

    Secondary Analysis refers to a user or investigator that requests access to NDA to use data that already exists for further analysis.

  • 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.
  • 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.
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