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Warning Notice This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.
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Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

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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.
Contact NDA Help Desk
helpcenter.general-query.featured.abcd

NDA Help Center

Featured Dataset - ABCD

The Featured Dataset Tab allows users to jump to data that is already prepackaged or to use custom predefined filters to review and download data.

Current ABCD Release datasets and prepackaged data are available via this tab.

Frequently Asked Questions

  • What is ABCD?
    Adolescent Brain Cognitive Development (ABCD) is a Data Repository in NDA that houses all data generated by the ABCD Study. The ABCD Study is a landmark, longitudinal study of brain development and child health. Investigators at 21 sites around the country measure brain maturation in the context of social, emotional, and cognitive development, as well as a variety of health and environmental outcomes.
  • What is Fast Track?

    Fast Track is ABCD data that is uploaded on an ongoing basis as they become available. Fast Track data releases contain unprocessed neuroimaging data from ABCD Study participants to date, as well as basic participant demographics (age, sex), including:

    • High-resolution structural data (3D T1 - and T2 - weighted scans)
    • Advanced diffusion MRI (multiple b-values and directions)
    • Resting State fMRI
    • Task fMRI (Monetary Incentive Delay, Stop-Signal), and Emotional N-Back), along with raw E-Prime task files for each fMRI run

    These data are available in the ABCD Collection. To user Fast Track data, you need to define an NDA Study to identify the raw data cases they've used, which is assigned a DOI. If any records in Fast Track data are corrected, this change is applied to the original dataset and documented in a Fast Track change report.

  • What is Minimally Processed Data (minproc)?
    Minimally Processed data, or minproc, are raw minimally processed imaging files from the ABCD longitudinal study. These images are extremely large which make data transfer difficult. To access those images, you can apply for Computational Credits and compute on the data in the cloud without downloading the files in their entirety. Contact the NDA Help Desk if you need the full imaging data ( NDAHelp@mail.nih.gov).
  • What are Tabulated Data?
    Tabulated data are images and data that are processed by putting them in tables (tabulated format). ABCD Annual Release data are static, curated datasets that include minimally processed brain image volumes and tabulated structural MRI, diffusion MRI, resting-state fMRI and task fMRI results, as well as all non-imaging assessment data from the physical & mental health, neurocognition, substance use, biospecimens and culture and environment domains.
  • Can new queries be added to existing models?
    Yes, NDA provides a way to add predefined filters. If the data are present a predefined filter can be created. Contact the NDA Help Desk for more information on how to add queries for data that interests you.
  • What are predefined filter queries?
    A predefined filter query enables users to select and define categories of data they want related to relevant subjects. These filters are displayed as checkable boxes to select items to query. This includes the ability to query by sub-sets of connections based on experimental conditions or other parameters. This way, data is narrowed down to include the concepts of most interest.
  • How do I access genotyping and raw mobile actigraphy data?

    Prepackaged data: Genotyping and mobile actigraphy data are included in prepackaged datasets.

    Available datasets: When your filter cart is finalized, you can create a download package and select to “include associated files” to access genotyping and mobile actigraphy files. If you are also querying for minimally processed imaging data, you may exceed the 5TB download limit. In this case, follow the Cloud Access instructions on the ABCD/NDA website to access the data.

Glossary

  • Dataset
    A dataset is a named grouping of data that contains individual units organized into a type of data structure. NDA's defined data structures can be found the NDA Data Dictionary.
  • Predefined Filter Queries
    Predefined filter queries help to select "ready to package" data in one click. These queries are organized by combining several filters in single procedure. Filters are usually based on experimental parameters and/or data element values.
Contact NDA Help Desk
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