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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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Comprehensive Assessment of At-Risk Mental States



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Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectsubjectid, subjectnumber
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired fielddatacollecteddate
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
caarms_a1IntegerRecommendedA1: 30% drop in SOFAS score from premorbid level, sustained for a month, occurred within past 12 months OR SOFAS score of 50 or less for past 12 months or longer (If NO to A1, then all remaining items are NA and E = No )0::20=No; 1=Yes; 2=NAcaarms_01
caarms_b1IntegerRecommendedB1: Family history of psychosis in first degree relative OR Schizotypal Personality Disorder in identified patient0::20=No; 1=Yes; 2=NAcaarms_02
caarms_b2IntegerRecommendedB2: A1 above = Yes0::20=No; 1=Yes; 2=NAcaarms_03
caarms_b3IntegerRecommendedB1 and B2 = Yes0::20=No; 1=Yes; 2=NAcaarms_04
caarms_c1aIntegerRecommendedC1A: Global Rating Scale Score of 3-5 on Unusual Thought Content subscale, 3-5 on Non-Bizarre Ideas subscale, 3-4 on Perceptual Abnormalities subscale and/or 4-5 on Disorganised Speech subscales of the CAARMS0::20=No; 1=Yes; 2=NAcaarms_05
caarms_c2aIntegerRecommendedC2A: Frequency Scale Score of 3-6 on Unusual Thought Content, Non-Bizarre Ideas, Perceptual Abnormalities and/or Disorganised Speech subscales of the CAARMS for at least a week OR Frequency Scale Score of 2 on Unusual Thought Content, Non-Bizarre Ideas, Perceptual Abnormalities and Disorganised Speech subscales of the CAARMS on more than two occasions (experienced a minimum of four times in total)0::20=No; 1=Yes; 2=NAcaarms_06
caarms_2b_1IntegerRecommendedC1B: Global Rating Scale Score of 6 on Unusual Thought Content, 6 on Non-Bizarre Ideas, 5-6 on Perceptual Abnormalities and/or 6 on Disorganised Speech subscales of the CAARMS0::20=No; 1=Yes; 2=NAcaarms_07
caarms_2b_2IntegerRecommendedC2B: Frequency Scale Score of 3 on Unusual Thought Content, Non-Bizarre Ideas, Perceptual Abnormalities and/or Disorganised Speech subscales of the CAARMS0::20=No; 1=Yes; 2=NAcaarms_08
caarms_c3IntegerRecommendedC3: Symptoms present in past year0::20=No; 1=Yes; 2=NAcaarms_09
caarms_c4IntegerRecommendedC4: A1 above = Yes0::20=No; 1=Yes; 2=NAcaarms_10
caarms_c5IntegerRecommendedC5: C1a, C2a, C3 and C4 = Yes OR C1b, C2b, C3 and C4 = Yes0::20=No; 1=Yes; 2=NAcaarms_11
caarms_d1IntegerRecommendedD1: Global Rating Scale Score of 6 on Unusual Thought Content subscale, 6 on Non-Bizarre Ideas, 5 or 6 on Perceptual Abnormalities subscale and/or 6 on Disorganised Speech subscales of the CAARMS0::20=No; 1=Yes; 2=NAcaarms_12
caarms_d2IntegerRecommendedD2: Frequency Scale Score of 4-6 on Unusual Thought Content, Non-Bizarre Ideas, Perceptual Abnormalities and/or Disorganised Speech subscales0::20=No; 1=Yes; 2=NAcaarms_13
caarms_d3IntegerRecommendedD3: Each episode of symptoms is present for less than one week and symptoms spontaneously remit on every occasion0::20=No; 1=Yes; 2=NAcaarms_14
caarms_d4IntegerRecommendedD4: Symptoms occurred during last year0::20=No; 1=Yes; 2=NAcaarms_15
caarms_d5IntegerRecommendedD5: A1 above = Yes0::20=No; 1=Yes; 2=NAcaarms_16
caarms_d6IntegerRecommendedD6: D1, D2, D3, D4 and D5 = YES0::20=No; 1=Yes; 2=NAcaarms_17
caarms_eIntegerRecommendedE: B3 OR C5 OR D6 = YES0::20=No; 1=Yes; 2=NAcaarms_18
siteString100RecommendedSiteStudy Sitesitenumber
visit_nameString20Recommendedsession ID/screening IDvisitnumber
visitString50RecommendedVisit nameCharacter description of each type of visitvisitlabel
subjecttypeString20RecommendedSubject TypeControl;Prodromal; Enhanced; Non-Enhanced
dataqualityIntegerRecommendedData quality0::50=No data (cancelled); 1=Data entered but only once, has missing data; 2=Data entered but only once, no missing data; 3=Double entered; 4=Data frozen for cleaning; 5=Data clean/locked
elig_inclusion_checkIntegerRecommendedChecks for a pass/fail on Elig for Inclusion0::30=Failed (Ineligible); 1=Passed (Eligible); 2=In screening; 3=NA
visit_numIntegerRecommendedVisit number1::31=Baseline, 2=12 Month, 3=24 Month
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: caarms01 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.