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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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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

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Caregiver Activity Survey



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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/projectcatieid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldcaregiver_date
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
cas03aIntegerRecommendedI. Using transportation hours0::24
cas03bIntegerRecommendedI. Using transportation minutes0::59
cas04aIntegerRecommendedII. Dressing hours0::24
cas04bIntegerRecommendedII. Dressing minutes0::59
cas05aIntegerRecommendedIII. Eating hours0::24
cas05bIntegerRecommendedIII. Eating minutes0::59
cas06aIntegerRecommendedLooking after one's appearance hours0::24
cas06bIntegerRecommendedIV. Looking after one's appearance minutes0::59
cas07aIntegerRecommendedV. Supervising the person hours0::24
cas07bIntegerRecommendedV. Supervising the person minutes0::59
visitString50RecommendedVisit nameCharacter description of each type of visit
visitidIntegerRecommendedMetaTrial Visit IDSystem variable: unique code for each type of visit -use to merge files
visnumFloatRecommendedNumeric Visit Number-1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
phase_ctString20RecommendedCurrent Phase. Phase patient was in at the time of the assessment Phase 4 refers to the follow-up phase.Pre-Rand; Phase 1/1A; Phase 2; Phase 3; Phase 4; Phase 1B; Open-Choice Phase; Screening; Phase 1phase
tr_tsFloatRecommendedTransportation Total Score (hrs)Created variable: Total transportation time, expressed in hours
dr_tsFloatRecommendedDressing Total Score (hrs)Created variable: Total dressing time, expressed in hours
eat_tsFloatRecommendedEating Total Score (hrs)Created variable: Total eating time, expressed in hours
app_tsFloatRecommendedAppearance Total Score (hrs)Created variable: Total looking after one's appearance time, expressed in hours
sup_tsFloatRecommendedSupervision Total Score (hrs)Created variable: Total supervision time, expressed in hours
cas_tsFloatRecommendedCAS Total Score (hrs)Created variable with modified 20% missing data rule applied: Total transportation, dressing, eating, appearance, and supervision time, expressed in hours Note: if 1 item is missing, it is assumed to be zero for the total calculation . If > 1 items are missing, the total score is set to mising
cas4_tsFloatRecommendedCAS Sub-Total Score (hrs) without SupervisionCreated variable with modified 20% missing data rule applied: Total transportation, dressing, eating and appearance time, expressed in hours Note: if any items are missing, the total score is set to mising
base1IntegerRecommendedFlag Baseline Phase 1/1A Visit1=Yes for all records meeting this criteria
last1IntegerRecommendedFlag Last Phase 1/1A Visit1=Yes for all records meeting this criteria
b1_tsFloatRecommendedBaseline CAS Total Score (hrs)Created variable: Score at Phase 1 baseline
b1_4tsFloatRecommendedBaseline CAS Sub-Total Score (hrs)Created variable: Score at Phase 1 baseline
b1_trFloatRecommendedBaseline Transportation (hrs)Created variable: Score at Phase 1 baseline
b1_drFloatRecommendedBaseline Dressing (hrs)Created variable: Score at Phase 1 baseline
b1_eatFloatRecommendedBaseline Eating (hrs)Created variable: Score at Phase 1 baseline
b1_appFloatRecommendedBaseline Appearance (hrs)Created variable: Score at Phase 1 baseline
b1_supFloatRecommendedBaseline Supervision (hrs)Created variable: Score at Phase 1 baseline
c_tsFloatRecommendedChanged from Baseline ADAS Total ScoreChange from Phase 1 baseline
c_4tsFloatRecommendedCFB CAS Sub-Total Score (hrs)Created variable: Change from Phase 1 baseline
c_trFloatRecommendedCFB Transportation (hrs)Created variable: Change from Phase 1 baseline
c_drFloatRecommendedCFB Dressing (hrs)Created variable: Change from Phase 1 baseline
c_eatFloatRecommendedCFB Eating (hrs)Created variable: Change from Phase 1 baseline
c_appFloatRecommendedCFB Appearance (hrs)Created variable: Change from Phase 1 baseline
c_supvisFloatRecommendedCFB Supervision (hrs)Created variable: Change from Phase 1 baseline
saps_ad10IntegerRecommendedRater numbertherapist
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form datacaregiver_comments
dodeString10RecommendedDate of Data Entrycaregiver_entered
cps01IntegerRecommendedIs the caregiver involved in therapy?0;10 = No; 1 = Yescps_1
cps02IntegerRecommendedHow involved is the caregiver in therapy?1::51 = Not at all ; 2 = Somewhat ; 3 = A moderate amount ; 4 = Very much ; 5 = Completelycps_2
cps03IntegerRecommendedHow long has the caregiver been involved in therapy (in weeks):cps_3
cps_4IntegerRecommendedHow successful was the caregiver's participation?1::51 = Not at all ; 2 = Somewhat ; 3 = A moderate amount ; 4 = Very much ; 5 = Completely
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: cas01 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.