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Workspace

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NDA Help Center

Workspace

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.

Glossary

  • 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 Labs

Data from Labs are NDA Collections', which contain datasets from one grant or project. Search for datasets from hundreds of contributing research labs.

Research labs submit and share data on a rolling basis over the life of the grant or project. Newer NDA Collections are less likely to have shared data available.

For more detailed information, click the Help button below.






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helpcenter.general-query.data-from-labs

NDA Help Center

Data from Labs

Data from Labs is an inventory of all NDA Collections. Each NDA Collection contains data from one grant or project. The Data from Labs tool is a data browser where you can search and filter NDA Collections and then select to add one or multiple NDA Collections to your Workspace. Identify NDA Collections of interest by filtering for Submission Status, Funding Source, Organization, Permission Group and NIH Research Initiative. Each NDA Collection 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 Labs 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.

Frequently Asked Questions

  • What is an NDA Collection?

    An NDA Collection is a virtual container of data that is stored in the NIMH Data Archive (NDA). NDA Collections are the primary method of organizing data in NDA and are created and organized based on funding source/grant, project, and laboratory. They provide useful tools to manage submission projects and allow investigators to define a wide array of other elements that provide context for their data, including all general information regarding the data and source project, experimental parameters used to collect any event-based data, methods, and other supporting documentation.

    NDA Collections also allow investigators to link underlying data to an NDA Study, defining populations and subpopulations specific to the aims of the research project. NDA Collections are grouped in one or more research clusters, or data repositories, for granting data access.

  • How does the Text Search work in Data from Labs?
    The Text Search function allows easy search and filter capabilities by typing text into the Text Search box. To return desired search results, type the word(s) that describes a Title, Description, Investigator, Organization, etc., and hit the enter key to immediately see results below. To search by a specific NDA Collection number, type the search into the Text Search box with the following format: id:xxxx where xxxx is the NDA Collection number, e.g., id:2026. From there, you can select the relevant boxes next to the desired results and click ‘Add to Workspace’.
  • How do Filters work in Data from Labs?
    Filtering data is a useful way to display only the results you want to extract from a large dataset. By selecting one or more NDA Collections and adding them to your Filter Cart, you can access the data more precisely and prepare for download. In the Data from Labs tab, conditions are set in the search boxes, using the drop-down menus to narrow down the results.

Glossary

  • Submission Status

    Submitting Data: refers to the specific NDA Collection that is still in the process of actively submitting data to NDA.

    Submissions Completed: refers to each NDA Collection that has completed all expectations of data submission.

  • Funding Source
    Funding Source is a company, agency, foundation or institute, that provides money for the purpose of conducting research. Most research data shared within NDA is federally funded. NIH funding includes intramural, extramural and contracts. Also, NDA accepts data from privately funded organizations, such as the Stanley Medical Foundation and other federal agencies, like Department of Defense.
  • Collection
    NDA Collections are virtual containers for data located on the NDA website and are the primary method of organizing data in NDA. They are created by NDA and organized on the basis of source grant, project, and laboratory. NDA Collections provide tools useful in managing submission projects and allow investigators to define a wide array of other elements that provide context for their 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.
  • Sort By
    Data on this page can be sorted by NDA Collection Creation Date, Collection ID (Identification Number), or Submission Status in either Ascending or Descending rank.
  • Organization
    The research institution affiliated with the grant or principal investigator of the project.
  • 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.
  • 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.
  • NIH Research Initiative
    NDA Collections may be organized by scientific similarity into NIH Research Initiatives, to facilitate query tool user experience. NIH Research Initiatives map to one or multiple Funding Opportunity Announcements.
  • Permission Group
    Access to shared record-level data in NDA is provisioned at the level of a Permission Group. NDA Permission Groups consist of one or multiple NDA Collections that contain data with the same subject consents.
  • 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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