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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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Dot Test



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/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired field
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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
siteString100RecommendedSiteStudy Site
daysrzIntegerRecommendeddays since randomizationstudyday
visitString50RecommendedVisit nameCharacter description of each type of visitinterval
completedIntegerRecommendedChecks if form is completed0::20=No; 1=Yes; 2=Yes, lostb_done
ci_enrolledIntegerRecommendedParticipant enrolled0;10=No; 1=Yesenrolled
b_masterIntegerRecommendedMastery of Test1;21=Yes, 2=No
b_usableIntegerRecommendedTask Usable1;21=Yes, 2=No
dotq01FloatRecommended1. Dot Test - No Delay0.0::99.9
dotq02FloatRecommended2. Dot Test - No Delay0.0::99.9
dotq03FloatRecommended3. Dot Test - No Delay0.0::99.9
dotq04FloatRecommended4. Dot Test - No Delay0.0::99.9
dotq05FloatRecommended5. Dot Test - No Delay0.0::99.9
dotq06FloatRecommended6. Dot Test - No Delay0.0::99.9
dotq07FloatRecommended7. Dot Test - No Delay0.0::99.9
dotq08FloatRecommended8. Dot Test - No Delay0.0::99.9
dotq09FloatRecommended9. Dot Test - 10 Second Delay0.0::99.9
dotq10FloatRecommended10. Dot Test - 10 Second Delay0.0::99.9
dotq11FloatRecommended11. Dot Test - 10 Second Delay0.0::99.9
dotq12FloatRecommended12. Dot Test - 10 Second Delay0.0::99.9
dotq13FloatRecommended13. Dot Test - 10 Second Delay0.0::99.9
dotq14FloatRecommended14. Dot Test - 10 Second Delay0.0::99.9
dotq15FloatRecommended15. Dot Test - 10 Second Delay0.0::99.9
dotq16FloatRecommended16. Dot Test - 10 Second Delay0.0::99.9
dotq17FloatRecommended17. Dot Test - 10 Second Delay0.0::99.9
dotq18FloatRecommended18. Dot Test - 10 Second Delay0.0::99.9
dotq19FloatRecommended19. Dot Test - 10 Second Delay0.0::99.9
dotq20FloatRecommended20. Dot Test - 10 Second Delay0.0::99.9
dot_ndFloatRecommendedDot Test - Average No Delay DistanceIn calculating the score Add value only if not null or zero. Keep track of non- missing values. Dim X As Integer DOT_ND = 0 DOT_Count = 0 'average of No-Delay For X = 1 To 8 If Me("DOTQ0" & X) <> 0 And Not IsNull(Me("DOTQ0" & X)) Then DOT_ND = DOT_ND + Me("DOTQ0" & X) DOT_Count = DOT_Count + 1 End If Next X If DOT_Count >= 5 Then DOT_ND = DOT_ND / DOT_Count DOT_ND = Format(DOT_ND, "###0.00") Else 'total not scored of 5 or more were not completed DOT_ND = Null End If
dot_dFloatRecommendedDot Test - Avg 10 Second Delay DistanceIn calculating the score Add value only if not null or zero. Keep track of non- missing values. Dim X As Integer DOT_D = 0 DOT_Count = 0 'Average of delayed recall If DOTQ09 <> 0 And Not IsNull(DOTQ09) Then DOT_D = DOT_D + DOTQ09 DOT_Count = DOT_Count + 1 End If For X = 10 To 20 If Me("DOTQ" & X) <> 0 And Not IsNull(Me("DOTQ" & X)) Then DOT_D = DOT_D + Me("DOTQ" & X) DOT_Count = DOT_Count + 1 End If Next X If DOT_Count >= 8 Then DOT_D = DOT_D / DOT_Count DOT_D = Format(DOT_D, "###0.00") Else 'total not scored of 8 or more were not completed DOT_D = Null End If
dot_diffFloatRecommendedDot Test - Difference between AveragesAverage delayed recall distance minus no delay distance DOT_Diff = [DOT_D] - [DOT_ND] DOT_Diff = Format(DOT_Diff, "###0.00")
alltest_taskIntegerRecommendedCompleted Task1::31 = Yes; 2 = No; 3 = Uncertainb_task
alltest_versIntegerRecommendedPage Version used1::31 = Standard; 2 = Single Page 3 = Velcro Boardb_vers
alltest_qualitIntegerRecommendedQuality of test results1::31 = Usable; 2 = Partly Usable; 3 = Unusableb_qualit
alltest_sit1IntegerRecommendedSituation-Did not comprehend instr.0;11=Describes test/occurred; 0=Does not describe test/didn't occurb_sit1
alltest_sit2IntegerRecommendedSituation-Completely distracted0;11=Describes test/occurred; 0=Does not describe test/didn't occurb_sit2
alltest_sit3IntegerRecommendedSituation-Refused to comply0;11=Describes test/occurred; 0=Does not describe test/didn't occurb_sit3
alltest_sit4IntegerRecommendedSituation-Tantrum0;11=Describes test/occurred; 0=Does not describe test/didn't occurb_sit4
alltest_sit5IntegerRecommendedSituation-Unable to draw or use0;11=Describes test/occurred; 0=Does not describe test/didn't occurb_sit5
alltest_sit6IntegerRecommendedSituation-Other0;11=Describes test/occurred; 0=Does not describe test/didn't occurb_sit6
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: dottest01 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.