NIMH Data Archive - Data Dictionary: Data Structure

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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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Detail and Flexibility Scale

0 Shared Subjects

Description N/A

Data type Clinical Assessments

Categories

Personality

Date created 06/29/2020

Short name dflex01

Most Recent Update 06/29/2020
View Change History

Version 01

Downloads

Definition

Submission Template

Element Name	Data Type	Size	Required	Description	Value Range	Notes	Aliases
subjectkey	GUID		Required	The NDAR Global Unique Identifier (GUID) for research subject	NDAR*
src_subject_id	String	20	Required	Subject ID how it's defined in lab/project
interview_date	Date		Required	Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY
interview_age	Integer		Required	Age in months at the time of the interview/test/sampling/imaging.	0 :: 1260	Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.
sex	String	20	Required	Sex of subject at birth	M;F; O; NR	M = Male; F = Female; O=Other; NR = Not reported	gender
dflex01	Integer		Recommended	I get angry if people do not do things my way	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex02	Integer		Recommended	I sometimes bore others as I go on to an excess about some things	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex03	Integer		Recommended	I get upset if other people disturb my plans for the day by being late	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex04	Integer		Recommended	I have difficulty making decisions	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex05	Integer		Recommended	When others suggest a new way of doing things, I get upset or unsettled	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex06	Integer		Recommended	I find it difficult to remember the story line in films, plays or books, but can remember specific scenes in great detail	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex07	Integer		Recommended	Once I get into an emotional state, e.g., anger or sadness, it is very difficult to soothe myself	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex08	Integer		Recommended	I spend as much time on more or less important tasks	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex09	Integer		Recommended	I like to make plans about complex arrangements, e.g., journeys and work projects	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex10	Integer		Recommended	I can get hung up on details when reading rather than understanding the gist	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex11	Integer		Recommended	I have high levels of anxiety/discomfort: I can see/feel/taste that things might not be quite right	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex12	Integer		Recommended	I tend to focus on one thing at a time and get it out of proportion to the total situation	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex13	Integer		Recommended	I like doing things in a particular order or routine	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex14	Integer		Recommended	I can get lost in the details and forget the real purpose of a task	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex15	Integer		Recommended	I can be called stubborn or single minded as it is difficult to shift from one point of view to another	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex16	Integer		Recommended	I find it difficult to do several things at once (multitasking)	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex17	Integer		Recommended	I need clarity and rules when facing a new situation. Without rules, I easily feel lost	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex18	Integer		Recommended	I find it hard to see different perspectives of a situation	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex19	Integer		Recommended	I get very distressed if plans get changed at the last minute	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex20	Integer		Recommended	I can get overwhelmed by too many details	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex21	Integer		Recommended	I dislike change	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex22	Integer		Recommended	I depend on others to help me get things into perspective, as I tend to have a rather blinkered view on things in my life	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex23	Integer		Recommended	I often feel vulnerable and unsafe as I am unable to see threats (or opportunities) that are out of my field of vision	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex24	Integer		Recommended	I find it hard to write concisely: I often overrun word limits and find it difficult to decide which details can be left out	1::6	1= Strongly Disagree; 2= Disagree; 3= Slightly Disagree; 4= Slightly Agree; 5= Agree; 6= Strongly Agree
dflex_total	Integer		Recommended	DFLEX Total Score
dflex_atd	Integer		Recommended	Attention to Detail Score
dflex_as	Integer		Recommended	Attentional Switching Score
dflex_cr	Integer		Recommended	Cognitive Rigidity Score

Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

Element Name: This is the standard element name
Data Type: Which type of data this element is, e.g. String, Float, File location.
Size: If applicable, the character limit of this element
Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
Description: A basic description
Value Range: Which values can appear validly in this element (case sensitive for strings)
Notes: Expanded description or notes on coding of values
Aliases: A list of currently supported Aliases (alternate element names)
For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
Download a copy of this definition in CSV format
Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.