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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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Hooper Visual Organization Test (VOT)

hvot

01

Hooper Visual Organization Test (VOT)

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/projectLabID
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired fieldTestDate
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.AgeMonths
genderString20RequiredSex of the subjectM;FM = Male; F = Female
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form dataComments
hvot_q1FloatRecommendedPicture 10;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q2FloatRecommendedPicture 20;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q3FloatRecommendedPicture 30;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q4FloatRecommendedPicture 40;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q5FloatRecommendedPicture 50;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q6FloatRecommendedPicture 60;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q7FloatRecommendedPicture 70;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q8FloatRecommendedPicture 80;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q9FloatRecommendedPicture 90;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q10FloatRecommendedPicture 100;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q11FloatRecommendedPicture 110;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q12FloatRecommendedPicture 120;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q13FloatRecommendedPicture 130;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q14FloatRecommendedPicture 140;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q15FloatRecommendedPicture 150;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q16FloatRecommendedPicture 160;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q17FloatRecommendedPicture 170;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q18FloatRecommendedPicture 180;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q19FloatRecommendedPicture 190;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q20FloatRecommendedPicture 200;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q21FloatRecommendedPicture 210;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q22FloatRecommendedPicture 220;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q23FloatRecommendedPicture 230;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q24FloatRecommendedPicture 240;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q25FloatRecommendedPicture 250;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q26FloatRecommendedPicture 260;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q27FloatRecommendedPicture 270;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q28FloatRecommendedPicture 280;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q29FloatRecommendedPicture 290;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_q30FloatRecommendedPicture 300;0.5;10=No credit responses; 0.5= 1/2 credit responses; 1= 1 credit responses
hvot_rawFloatRequiredHooper VOT raw score0 :: 30RawScore
hvot_totalIntegerRequiredHooper VOT total score13 :: 145Tscore
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: hvot01 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.