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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
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Notes
Data Structures with shared data
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Eye Tracking Subject-Experiment

et_subject_experiment

01

Eye Tracking Subject-Experiment

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*participant_id
src_subject_idString20RequiredSubject ID how it's defined in lab/projectsrc_participant_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired fielddate_of_evaluation
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.age_at_evaluation
genderString20RequiredSex of the subjectM;FM = Male; F = Femalesex
phenotypeString200RequiredPhenotype/diagnosis for the subject
experiment_idIntegerRequiredID for the Experiment/settings/run
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
experiment_validityString2,000RecommendedInformation regarding validity (e.g., inclusion criteria, QA assessment, etc.) of the experiment for this subject
experiment_notesString2,000RecommendedMisc notes regarding the experiment for this subject
experiment_terminatedString2,000RecommendedInformation regarding termination of the experiment
expcond_validityString2,000RecommendedInformation regarding validity (e.g., inclusion criteria, QA assessment, etc.) of this experimental condition
expcond_notesString2,000RecommendedNotes regarding this experimental condition for this subject (e.g., order of presentation, etc.)
data_file1FileRequiredData file
data_file1_typeString100Requiredtype of data file
data_file2FileRecommendeddata file
data_file2_typeString100Recommendeddata file 2 type/description
data_file3FileRecommendedData file
data_file3_typeString100RecommendedData file type
data_file4FileRecommendedData file
data_file4_typeString100RecommendedData file type
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: et_subject_experiment01 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.