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Frequently Asked Questions


NDA Help Center

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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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectid, labid, subject
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldtestdate, wratdate
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.agemonths
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
employment_changeIntegerRecommendedHas anything changed about your employment status?0 :: 40 = No; 1 = Yes, became employed; 2 = Yes, became unemployed; 3 = Yes, went from full time to part time; 4 = Yes, went from part time to full time
unemployment_lenthIntegerRecommendedHow long have you been unemployed1::51 = Less than one week; 2 = 1-2 weeks; 3 = 2-3 weeks; 4 = 3-4 weeks; 5 = greater than 4 weeks
resp_occupationString255RecommendedRespondent's occupationcurrent_job
current_job_lengthIntegerRecommendedHow long have you worked at your new job or had your new schedule?1::51 = Less than one week; 2 = 1-2 weeks; 3 = 2-3 weeks; 4 = 3-4 weeks; 5 = greater than 4 weeks
relationship_changeIntegerRecommendedHas anything changed about your relationship status?0::20 = No; 1 = Yes, entered relationship; 2 = Yes, ended relationship
single_lengthIntegerRecommendedHow long have you been single?1::51 = Less than one week; 2 = 1-2 weeks; 3 = 2-3 weeks; 4 = 3-4 weeks; 5 = greater than 4 weeks
milestone_rellenIntegerRecommendedHow long have you been in your current relationship?1::51 = Less than one week; 2 = 1-2 weeks; 3 = 2-3 weeks; 4 = 3-4 weeks; 5 = greater than 4 weeksrelationship_length
medchangeString500RecommendedHave you had any changes to your medication (dosage, type) in the past month?
p_meds_4String1,500RecommendedList any medicationsmedlist
percenttime_homeIntegerRecommendedPercentage of time spent at home throughout the study0::100
percenttime_awayIntegerRecommendedPercentage of time spent at away throughout the study0::100
percenttime_with_othersIntegerRecommendedPercentage of time spent with others throughout the study0::100
percenttime_aloneIntegerRecommendedPercentage of time spent alone throughout the study0::100
ms_depressedIntegerRecommendedI felt sad or depressed1::51 = not at all; 2 = a little bit; 3 = somewhat; 4 = quite a bit; 5 = very much
ms_happyIntegerRecommendedI felt happy1::51 = not at all; 2 = a little bit; 3 = somewhat; 4 = quite a bit; 5 = very much
ms_anxiousIntegerRecommendedI felt anxious or nervous1::51 = not at all; 2 = a little bit; 3 = somewhat; 4 = quite a bit; 5 = very much
ms_concentrationIntegerRecommendedI had difficulty concentrating1::51 = not at all; 2 = a little bit; 3 = somewhat; 4 = quite a bit; 5 = very much
ms_voicesIntegerRecommendedReponse to I heard voices1::51 = not at all; 2 = a little bit; 3 = somewhat; 4 = quite a bit; 5 = very much
ms_paranoiaIntegerRecommendedI had thoughts that others might want to harm me or may not be trustworthy1::51 = not at all; 2 = a little bit; 3 = somewhat; 4 = quite a bit; 5 = very much
listlearn_overallIntegerRecommendedOverall performance on the list learning tasks1::10
listlearn_improveIntegerRecommendedDo you think your performance on the list learning tests improved ober 30 days?1::51 = not at all; 2 = a little bit; 3 = somewhat; 4 = quite a bit; 5 = very much
survey_missedIntegerRecommendedDo you think you missed any of the surveys on the cell phone during the study?0;10 = no; 1 = yes
survey_missed_numberIntegerRecommendedIf yes: how many did you miss?0::100
survey_typicalIntegerRecommendedHow typical or usual were the weeks that you completed the surveys?1;21 = typical; 2 = not typical
survey_typical_explanationString500RecommendedIf not typical, why?Only if survey_typical is 2
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: milestone01 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.