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Workspace

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helpcenter.general-query.selected-filters-workspace

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 Dictionary: Data Structures

Search over 2,000 data collection instruments, or data structures, in the NDA Data Dictionary.

NDA data structures contain data collected by many different research studies. The NDA data dictionary is always being updated to accommodate new variables, variable names, value ranges, and new data collection instruments.

Click on the structure name to view the data dictionary, change history, data submission template, and to create a new query filter for a specific value range from a single variable in that structure. You can even visualize the response distribution for any given variable with a discrete value range.




5,044 Results Found Detail View | Table View
Select Title Short Name Source Data Type Category Submission Shared Subjects
helpcenter.general-query.structures

NDA Help Center

Data Dictionary

The Data Dictionary is a compilation of all the data structures currently defined in NDA. Each structure represents a standardized definition of a measure or instrument used by researchers to collect and submit data. To view the detailed definition of an individual structure, click on the structure’s title. Select one or more structures on this page and add them to the Filter Cart as one filter. Like in all NDA query tools, the contents of one filter are queried on an ‘OR’ basis. Multiple filters return filtered results on an ‘AND’ basis.

Frequently Asked Questions

  • What is Data Dictionary?
    The Data Dictionary is a compilation of all the data structures currently defined in NDA. Each structure represents a standardized definition of a measure or instrument used by researchers to collect and submit data. To view the detailed definition of an individual structure, click on the structure’s title. Select one or more structures on this page and add them to the Filter Cart as one filter. Like in all NDA query tools, the contents of one filter are queried on an ‘OR’ basis. Multiple filters return filtered results on an ‘AND’ basis.
  • What is a Data Element?
    A Data Element is a unit of a Data Structure, which defines item level questions, scores, and necessary information about subject. There are five required Data Elements in each Data Structure, which are the: subjectkey, the src_subject_id, interview_date, interview_age, and sex.
  • How can I use the Text Search to look through Data Structures?
    Using the ‘Text Search’ function under ‘Browse Data Dictionary’ allows users to search through the Title, Structure, and Descriptions associated with Data Structures in the NDA Data Dictionary.
  • What is a Data Structure?
    A Data Structure is an electronic definition of a measure or assessment. Data Structures are organized by Structure Source, Data Type, and Category.

Glossary

  • Category
    The Category tab will describe the purpose of the assessment, information on data collection methodologies, and assessment source. Categories are not concepts, but rather several fundamental and distinct classes to which entities or concepts belong. For Data Structures, one can query based on Category which represents different Data Structures that are mostly phenotypic traits or physiological traits.
  • Source
    Source in the Data Dictionary refers to the origin of the assessment. In this sense, Source should not be confused with "Data Source", as the data structure source is not an indicator of the location of the data.
  • Data Type

    Data Types are structures that allow you to access required information and contain a data file element that allows you to specify the path of associated data files for upload.

    To query information on experimental parameters used to collect the data (e.g., event/task descriptions, acquisition hardware, post-processing, etc.) on a participant-record level, these data types also require you to define an Experiment.

    The NDA hosts a variety of data. The Data Type refers to where the dataset comes from. For example, a dataset can come from a clinical assessment, federated source, or neurosignaling and omics. Once you click on the Data Type you want, the categories become more refined as well as the Data Sources.

    Data Types include demographic data, clinical assessments, imaging data, omic data, and biosamples. The human subject research data is broadly consented for (mostly) and summary level data are available to the research community with the approval of an institutional official (unless it is open access). Shared data are those datasets that have been submitted and verified by NDA as valid. Additional data are held (embargoed) by NDA as some NDA Collection owners may not be ready for sharing as the grant is still active or they have not published a paper and created an NDA Study.

  • Structure Title
    Structure Title provides summary information about an assessment and is defined by the author/publisher.
  • Structure Description
    Structure Description provides a short explanation about a defined assessment, its version/edition, and the definition provider.
  • Shared Subjects
    Shared Subjects refers to information provided based on data from shareddatasets. The number of Submitted Subjects may be larger and that number will display in the Filter Cart and on the Landing Page.
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Concept Rules Private
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