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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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Atrocities Questionnaire



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*pseduo_guids, pseudo_guids
src_subject_idString20RequiredSubject ID how it's defined in lab/projectid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldinterview_dt_t1, interview_dt_t2, interview_dt_t3, interview_dt_t4
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.age_t1_mos, age_t2_mos, age_t3_mos, age_t4_mos
sexString20RequiredSex of the subject
M = Male; F = Femalegender, gender_t1, gender_t2, gender_t3, gender_t4
atrocity1_t2IntegerRecommendedDid you ever observe others or participate yourself in things that other people would consider excessively violent or brutal, even in wartime (e.g., torturing prisoners, mutilating enemy bodies, and harming civilians)?1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity1_t3, atrocity1_t4
atrocity2a_t2IntegerRecommendedAtrocity: Looting or pillaging1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2a_t3, atrocity2a_t4
atrocity2b_t2IntegerRecommendedAtrocity: Killing animals1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2b_t3, atrocity2b_t4
atrocity2c_t2IntegerRecommendedAtrocity: Mutilating enemy dead1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2c_t3, atrocity2c_t4
atrocity2d_t2IntegerRecommendedAtrocity: Not taking prisoners1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2d_t3, atrocity2d_t4
atrocity2e_t2IntegerRecommendedAtrocity: Injuring or mistreating enemy prisoners1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2e_t3, atrocity2e_t4
atrocity2f_t2IntegerRecommendedAtrocity: Killing enemy prisoners1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2f_t3, atrocity2f_t4
atrocity2g_t2IntegerRecommendedAtrocity: Injuring or mistreating civilians1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2g_t3, atrocity2g_t4
atrocity2h_t2IntegerRecommendedAtrocity: Killing enemy combatants1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2h_t3, atrocity2h_t4
atrocity2i_t2IntegerRecommendedAtrocity: Killing non-combatants1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2i_t3, atrocity2i_t4
atrocity2j_t2IntegerRecommendedAtrocity: Torture1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2j_t3, atrocity2j_t4
atrocity2k_t2IntegerRecommendedAtrocity: Rape1::41 = Never; 2= Observed others; 3= Participated; 4= Declined to answeratrocity2k_t3, atrocity2k_t4
atrocity3a_t2IntegerRecommendedIf you did participate in any of these activities, were you acting under orders from a superior?0::20 = No; 1= Yes; 2= I did not participateatrocity3a_t3, atrocity3a_t4
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form dataatrocity3b_t2, atrocity3b_t3, atrocity3b_t4
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.

Distribution for DataStructure: atroq01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.