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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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Imitative Sequences

imit_seq

01

Imitative Sequences testing as defined by Sally Rogers' lab at UC, Davis

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 fieldAddate
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.ADagemos
interview_chrono_ageIntegerRecommendedInterview Chronological Age0 :: 1200
interview_adj_ageIntegerRecommendedInterview Adjusted Age0 :: 1200
genderString20RequiredSex of the subjectM;FM = Male; F = FemaleSEX
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
iscoderString20RecommendedImitative Sequences Coder
isexperimenterString20RecommendedImitative Sequences Experimenter
isptString20RecommendedPat Table
Fail;Partial Pass;Pass;Missing
isbbString20RecommendedBang Box
Fail;Partial Pass;Pass;Missing
ischString20RecommendedClap Hands
Fail;Partial Pass;Pass;Missing
isochString20RecommendedOpen and Close Hands
Fail;Partial Pass;Pass;Missing
ispbString20RecommendedPat Baby
Fail;Partial Pass;Pass;Missing
isosmString20RecommendedOpen and Shut Mouth
Fail;Partial Pass;Pass;Missing
isppcString20RecommendedPat Puffed Cheeks
Fail;Partial Pass;Pass;Missing
iswtString20RecommendedWiggle Tongue
Fail;Partial Pass;Pass;Missing
isvocString20RecommendedVocalization of Child
Fail;Partial Pass;Pass;Missing
isvoctxtString100RecommendedVocalization of Child Description
isddString20RecommendedDee Dee
Fail;Partial Pass;Pass;Missing
isrString20RecommendedRaspberry
Fail;Partial Pass;Pass;Missing
istcString20RecommendedTongue Click
Fail;Partial Pass;Pass;Missing
isw1String20RecommendedWord 1
Fail;Partial Pass;Pass;Missing
isw1txtString100RecommendedWord 1 Description
isw2String20RecommendedWord 2
Fail;Partial Pass;Pass;Missing
isw2txtString100RecommendedWord 2 Description
iszbString20RecommendedZaa Boo
Fail;Partial Pass;Pass;Missing
isdtString20RecommendedDoe Te
Fail;Partial Pass;Pass;Missing
isvalidityString20RecommendedValidity of datadata is valid;question data;invalid data
isinvalidString50Recommendedif invalid, why?not motivated by reinforcers;noncompliant;intentionally making errors;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: imit_seq01 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.