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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions

Glossary

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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA 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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Data Structures with shared data
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Face Task

ftet

01

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/biospecimen 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
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
strabletoanalyzeIntegerRecommendedare the data analyzeable
0;1
0 = No; 1 = Yes
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form datastrnotes
intfaceprefFloatRecommendedFace preference(%)
inttoyprefFloatRecommendedToy preference (%)
intfp_propuseFloatRecommendedFace preference (Proportion to # trials)
intfp_trialsIntegerRecommendedNumber of Face preference trials0 :: 8
intneutralepvalidIntegerRecommendedNeutral Face Valid trials0 :: 20
intneutralepvalidaccIntegerRecommendedNeutral face valid and accurate0 :: 12
intneutralepstuckIntegerRecommendedNeutral face number of times stuck0 :: 4Stuck: child continues to focus on central image while ignoring distractor image
intneutralrtFloatRecommendedNeutral face reaction timeMilliseconds
inthappyepvalidIntegerRecommendedHappy Face Valid trials0 :: 20
inthappyepvalidaccIntegerRecommendedHappy face valid and accurate0 :: 12
inthappyepstuckIntegerRecommendedHappy face number of times stuck0 :: 4Stuck: child continues to focus on central image while ignoring distractor image
inthappyrtFloatRecommendedHappy face reaction timeMilliseconds
intpattstaticepvalidIntegerRecommendedStatic Pattern Valid trials0 :: 12
intpattstaticepvalidaccIntegerRecommendedStatic Pattern Valid and accurate0 :: 12
intpattstaticepstuckIntegerRecommendedStatic Pattern number of times stuck0 :: 4Stuck: child continues to focus on central image while ignoring distractor image
intpattstaticrtFloatRecommendedStatic Pattern reaction timeMilliseconds
intpattchangeepvalidIntegerRecommendedChanging Pattern Valid trials0 :: 12
intpattchangeepvalidaccIntegerRecommendedChanging Pattern Valid and accurate0 :: 12
intpattchangeepstuckIntegerRecommendedChanging Pattern number of times stuck0 :: 4Stuck: child continues to focus on central image while ignoring distractor image
intpattchangertFloatRecommendedChanging Pattern reaction timeMilliseconds
intoverallfacertFloatRecommendedOverall Face reaction timeMilliseconds
intoverallpattrtFloatRecommendedOverall Pattern reaction timeMilliseconds
intantict1FloatRecommendedAnticipation Trial 1: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intantict2FloatRecommendedAnticipation Trial 2: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intantict3FloatRecommendedAnticipation Trial 3: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intantict4FloatRecommendedAnticipation Trial 4: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intantict5FloatRecommendedAnticipation Trial 5: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intantict6FloatRecommendedAnticipation Trial 6: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intantict7FloatRecommendedAnticipation Trial 7: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intantict8FloatRecommendedAnticipation Trial 8: Time between child looking at bowl on screen and child in video putting blocks in bowlMilliseconds: Negative values show anticipation (child participant looks at bowl before it is used), Positive values show delay (child participant looks at bowl after it is used). Zero indicates the participant looked at the on-screen bowl at the same time the child in the video placed the blocks.
intanticfacelookFloatRecommendedAnticipation Face LooksPercentage of time child looks at face during anticipation trials
intantichandlookFloatRecommendedAnticipation Hand LooksPercentage of time child looks at hand during anticipation trials
intantictargetlookFloatRecommendedAnticipation Target LooksPercentage of time child looks at target image during anticipation trials
intanticdistractlookFloatRecommendedAnticipation Distractor LooksPercentage of time child looks at distractor image during anticipation trials
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: ftet01 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.