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Frequently Asked Questions


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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions



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Gender Identity Information

40 Shared Subjects

Clinical Assessments
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Query 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 Required field
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 the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
nimh_rv_dem_03 Integer Recommended Current gender identity 0::5;7;8 0=Male; 1=Female; 2=Trans male/Trans man; 3=Trans female/Trans woman; 4=Genderqueer or Gender non-conforming; 5=Different identity; 7 = Refused; 8 = Don't Know srdemo01
demoses05j String 50 Recommended Specify other Gender Identity srdemo02
srdemo03 Integer Recommended How would you describe your sexual identity? 1::9 1= Bisexual; 2= Gay; 3= Heterosexual/Straight (not gay); 4= Lesbian; 5= Queer; 6= Pansexual; 7= Don't know; 8= Unsure/Questioning; 9= Other (please specify)
srdemo04 String 50 Recommended Specify Different Sexual Identity
srdemo05 Integer Recommended People are different in their sexual attraction to other people. Which best describes your feelings? 1::6 1= Only attracted to males; 2= Mostly attracted to males; 3= Equally attracted to males and females; 4= Mostly attracted to females; 5= Only attracted to females; 6= Not sure
srdemo06 Integer Recommended A person's appearance, style, or dress may affect the way people think of them. On average, how do you think people would describe your appearance, style, or dress? 1::7 1= Very Feminine; 2= Mostly Feminine; 3= Somewhat Feminine; 4= Equally Feminine and Masculine; 5= Somewhat Masculine; 6= Mostly Masculine; 7= Very Masculine
srdemo07 Integer Recommended A person's mannerisms (such as the way they walk or talk) may affect the way people think of them. On average, how do you think people would describe your mannerisms? 1::7 1= Very Feminine; 2= Mostly Feminine; 3= Somewhat Feminine; 4= Equally Feminine and Masculine; 5= Somewhat Masculine; 6= Mostly Masculine; 7= Very Masculine
srdemo08 Integer Recommended What grade you are in? 1::8 1= 6th; 2= 7th; 3= 8th; 4= 9th; 5= 10th; 6= 11th; 7= 12th; 8= Other (specify)
gradesp_mta String 100 Recommended Grade in school other specify srdemo09
ethnicity String 30 Recommended Ethnicity of participant Hispanic or Latino; Not Hispanic or Latino; Unknown
race String 30 Recommended Race of study subject American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
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.