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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

Description
Value Range
Notes
Data Structures with shared data
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Functional Capacity

fctask

01

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/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
task_1IntegerRecommendedGo to town task: number of errands completed0::14corr_num_errands, go_to_town_01
task_timeIntegerRecommendedTask: time in seconds0::1800go_to_town_02, time
error_1IntegerRecommended1. Visited store not on list/visited extra store or location0::12err_extra_3a, go_to_town_03
error_2IntegerRecommended2. Doesn't enter or exit through doors0::20err_doors_3b, go_to_town_04
error_3IntegerRecommended3. Goes the wrong way on one way shortcut(s)0::10err_shortcut_3c, go_to_town_05
error_4IntegerRecommended4. Enters town via street other than Chestnut St0;1go_to_town_06
error_5IntegerRecommended5. Does not park in parking lot before errands0;1go_to_town_07
error_6IntegerRecommended6. Does not visit bank before visiting stores0;1go_to_town_08
error_7IntegerRecommended7. Does not acquire dress directly before shoes0;1go_to_town_09
error_8IntegerRecommended8.Buys card after visiting post office0;1go_to_town_10
error_9IntegerRecommended9. Dentist visit not at end, directly before getting car0;1go_to_town_11
error_10IntegerRecommended10. Visits gas station before getting car at parking lot0;1go_to_town_12
error_11IntegerRecommended11. Leaves town via street other than Jackson Ave0;1go_to_town_13
errors_totalIntegerRecommendedTotal Errorsgo_to_town_ctotal_01
task_2IntegerRecommendedSequence used0::6ctpip_social_01
task_3FloatRecommendedSocial CPT-IP: Faces d'ctpip_social_03
task_4FloatRecommendedSocial CPT-IP: 4 digit d'ctpip_social_04
task_5FloatRecommendedSocial CPT-IP: Shapes d'ctpip_social_05
siteString100RecommendedSiteStudy Sitesitenumber
visit_nameString20Recommendedsession ID/screening IDvisitnumber
visitString50RecommendedVisit nameCharacter description of each type of visitvisitlabel
subjecttypeString20RecommendedSubject TypeControl;Prodromal; Enhanced; Non-Enhanced
elig_inclusion_checkIntegerRecommendedChecks for a pass/fail on Elig for Inclusion0::30=Failed (Ineligible); 1=Passed (Eligible); 2=In screening; 3=NA
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
ctpip_social_02DateRecommendedDate file emailed MM/DD/YYYY
err_order_3dIntegerRecommendedNumber of times subject does errands in the wrong order0 :: 8
err_totalIntegerRecommendedTotal number of errands0 :: 308
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: fctask01 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.