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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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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Selected Filters
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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Value Range
Data Structures with shared data
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Participation Survey



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotes
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
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.
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
genderString20RequiredSex of the subjectM;FM = Male; F = Female
version_formString100RequiredForm used/assessment name
studentvrsurvey_cpIntegerRecommendedConsultant prompt: percent student input888 = not applicable; 999 = missing
studentvrsurvey_studentIntegerRecommendedWas the student present at consultation0;1; 888; 9990 = no; 1 = yes; 888 = not applicable; 999 = missing
studentvrsurvey_percentpresentFloatRecommendedPercent student present at consultation888 = not applicable; 999 = missing
studentvrsurvey_vrinvitedIntegerRecommendedWas VR (Vocational Rehabilitation) invited0;1; 888; 9990 = no; 1 = yes; 888 = not applicable; 999 = missing
studentvrsurvey_vrattendedIntegerRecommendedIf invited, did they attend consultation0;1; 888; 9990 = no; 1 = yes; 888 = not applicable; 999 = missing
lop_item1IntegerRecommendedLevel of Participation item 1 Attention1::3; 888; 9991 = needs lots of repetition and visuals throughout; 2 = only needs a few reminders to pay attention/stay on task; 3 = Listens intently to instruction; 888 = not applicable; 999 = missing
lop_item2IntegerRecommendedLevel of Participation item 2 Motivation to complete tasks1::3; 888; 9991 = Gives up easily with a challenging task and doesn't respond to motivators; 2 = Gives up initially; but responds to encouragement; 3 = Persists with challenging tasks; 888 = not applicable; 999 = missing
lop_item3IntegerRecommendedLevel of Participation item 3 Verbal expression1::4; 888; 9991 = Is nonverbal; 2 = Has some phrases; 3 = Uses verbal communication; but below age equivalent; 4 = Fully fluent at expected age level; 888 = not applicable; 999 = missing
lop_item4IntegerRecommendedLevel of Participation item 4 Verbal comprehension1::3; 888; 9991 = Needs pictures / visuals to understand; 2 = Understands verbal words and can follow verbal instructions (can complete the things I like task); but below age level; 3 = Understand verbal language at expected age level; 888 = not applicable; 999 = missing.
lop_item5IntegerRecommendedLevel of Participation item 5 Affect1::3; 888; 9991 = Flat affect; no smiling despite attempts to establish rapport; 2 = Smiles slightly in response to social engagement; but is quiet overall; 3 = Easily smiles and shows a range of affect; 888 = not applicable; 999 = missing
lop_item6IntegerRecommendedLevel of Participation item 6 Energy level1::3; 888; 9991 = Lacks energy; lethargic; 2 = Average energy level; does not interfere with activity; 3 = Intense energy level; hard to contain and interferes with activity; 888 = not applicable; 999 = missing
lop_item7IntegerRecommendedLevel of Participation item 7 Repetitive behaviors1::3; 888; 9991 = None; 2 = Some; but doesn't interfere with the assessment; 3 = Intense and interfering with the assessment; 888 = not applicable; 999 = missing
lop_item8IntegerRecommendedLevel of Participation item 8 Completion of the things I like task1::3; 888; 9991 = Unable to understand the picture version to make choices (e.g.; picked the same response for each item); 2 = Used the picture version and clearly made choices; 3 = Used the word version and clearly made choices; 888 = not applicable; 999 = missing
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: partsurv01 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.