NIMH Data Archive - Data Dictionary: Data Structure History

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Filter Cart
Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR" when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both 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 NDA Collections to your Workspace which further extends the ‘OR’ condition.

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).

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.

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.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects.

Additional Tips:

You may query the data without an account, but to gain access 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:

Create a data package - This allows you to specify format for access/download

Assign to Study Cohort - Associate the 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.

Please Note:

When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time.

When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures.

Information about the contents of the Filter Cart can be seen by clicking "Edit”.

Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' 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.

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.

Are there limitations on the amount of data a user can download?

NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

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.
Glossary

Workspace

The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace.

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 adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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This repository is under review for potential modification in compliance with Administration directives.

Change History For

Depressive Symptom Inventory Suicidality Subscale

56 Shared Subjects

Description N/A

Data type Clinical Assessments

Element Name	Change Description	Before	Now	When
timepoint_label	NOTES,	NOTES: e.g., Baseline, Morning, At Bedtime	NOTES: e.g., Baseline, 6-Month Follow Up, Year 2; Morning, At Bedtime	09/29/2025 16:57 PM
timepoint_label	NOTES,	NOTES:	NOTES: e.g., Baseline, Morning, At Bedtime	06/23/2025 13:26 PM
src_subject_id	ELEMENT_SIZE,	ELEMENT_SIZE: 20	ELEMENT_SIZE: 45	05/13/2025 11:50 AM
interview_age	VALUE_RANGE,	VALUE_RANGE: 0 :: 1260	VALUE_RANGE: 0::1440	04/04/2024 13:54 PM
timepoint_label	NEW_MAP_ELEMENT		Added data element 'timepoint_label' to data structure 'dsiss01'.	02/23/2024 10:43 AM
timepoint_label	ELEMENT_SIZE,	ELEMENT_SIZE: 15	ELEMENT_SIZE: 50	03/14/2022 11:50 AM
sex	DESCRIPTION	DESCRIPTION: Sex of the subject	DESCRIPTION: Sex of subject at birth	07/09/2021 10:38 AM
interview_date	NOTES,	NOTES: Required field	NOTES:	01/08/2021 10:21 AM
timepoint_label	ELEMENT_SIZE,	ELEMENT_SIZE: 20	ELEMENT_SIZE: 15	01/07/2021 12:45 PM
timepoint_label	ELEMENT_SIZE,	ELEMENT_SIZE: 5	ELEMENT_SIZE: 20	11/25/2020 12:59 PM
sex	VALUE_RANGE, , NOTES,	VALUE_RANGE: M;F NOTES: M = Male; F = Female	VALUE_RANGE: M;F; O; NR NOTES: M = Male; F = Female; O=Other; NR = Not reported	02/21/2020 13:02 PM
gender	PERMANENTLY ALIASED	gender	sex	04/22/2019 00:00 AM

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Depressive Symptom Inventory Suicidality Subscale