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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

Value Range
Data Structures with shared data
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SCQ as defined by the CPEA STAART project

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldscq_date_std
cycleIntegerRecommendedTimepoint information-1 = Screener; 0 = Baseline; 97 = Taper; 98 = Withdrawal; 99 = Interim contact; Otherwise: weeks since baseline
patidString20Recommendedsrc_Subject_idA Participant ID provided by DM-STAT must be present to process form
networkString20RecommendedNetworkCPEA or STAART Network
siteString100RecommendedSiteStudy Site
scq_45_agedpeopIntegerRecommended(4 to 5) Interested of similarly aged people0; 10 = No; 1 = Yes
scq_45_comfortIntegerRecommended(4 to 5) Comfort you if you were sad/hurt0; 10 = No; 1 = Yes
scq_45_facialexpIntegerRecommended(4 to 5) Normal Range of Facial Expressions0; 10 = No; 1 = Yes
scq_45_friendlyIntegerRecommended(4 to 5) Talked just to be friendlyNulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_45_gestnohandIntegerRecommended(4 to 5) Gestures to let you know what you want0; 10 = No; 1 = Yes
scq_45_gesturesIntegerRecommended(4 to 5) Gestures/words when wanted something0; 10 = No; 1 = Yes
scq_45_imaggameIntegerRecommended(4 to 5) Play in Imaginative Games0; 10 = No; 1 = Yes
scq_45_lookfaceIntegerRecommended(4 to 5) Look at you in the face when talking you0; 10 = No; 1 = Yes
scq_45_nodIntegerRecommended(4 to 5) Nod to mean yes0; 10 = No; 1 = Yes
scq_45_payattIntegerRecommended(4 to 5) Pay Attention when calling their name0; 10 = No; 1 = Yes
scq_45_playgroupIntegerRecommended(4 to 5) Play co-operatively in group games0; 10 = No; 1 = Yes
scq_45_pretendIntegerRecommended(4 to 5) Pretend / Make-believe games0; 10 = No; 1 = Yes
scq_45_respondIntegerRecommended(4 to 5) Respond positively when approached0; 10 = No; 1 = Yes
scq_45_shakeIntegerRecommended(4 to 5) Shake to mean no0; 10 = No; 1 = Yes
scq_45_shareIntegerRecommended(4 to 5) Offers to share things other than food0; 10 = No; 1 = Yes
scq_45_showthingIntegerRecommended(4 to 5) Show you things that interested them0; 10 = No; 1 = Yes
scq_45_smilebackIntegerRecommended(4 to 5) Smile back if someone smiled at them0; 10 = No; 1 = Yes
scq_45_socgamesIntegerRecommended(4 to 5) Join in social games0; 10 = No; 1 = Yes
scq_45_spcopyIntegerRecommended(4 to 5) Spontaneously Copy You0; 10 = No; 1 = Yes
scq_45_sppointIntegerRecommended(4 to 5) Spontaneously point at things0; 10 = No; 1 = Yes
scq_45_wantenjoyIntegerRecommended(4 to 5) Want you to join in their enjoyment of something0; 10 = No; 1 = Yes
scq_carryobjIntegerRecommendedObjects that they had to carry around0; 10 = No; 1 = Yes
scq_compmoveIntegerRecommendedComplicated Movements of whole body0; 10 = No; 1 = Yes
scq_convoIntegerRecommendedCan you have a conversation?Nulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_dateIntegerRecommendedSCQ Date
scq_versionString50RecommendedSCQ Version
scq_facialIntegerRecommendedFacial expression appropriate to situation0; 10 = Yes; 1 = No (Note: reversed scoring)
scq_handtoolIntegerRecommendedUsed your hand as a tool0; 10 = No; 1 = Yes
scq_havefriIntegerRecommendedHave any particular friends0; 10 = Yes; 1 = No (Note: reversed scoring)
scq_injdelibIntegerRecommendedInjured themselves deliberately0; 10 = No; 1 = Yes
scq_intenseIntegerRecommendedUnusual Intensity In Interests0; 10 = No; 1 = Yes
scq_interestsIntegerRecommendedInterests that preoccupy0; 10 = No; 1 = Yes
scq_inventedIntegerRecommendedHave they ever used words that they invented/made upNulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_mixproIntegerRecommendedEver got pronouns mixed upNulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_oddmanIntegerRecommendedOdd mannerisms0; 10 = No; 1 = Yes
scq_oddphrIntegerRecommendedOdd Phrases or said the same thing over and overNulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_orderIntegerRecommendedHad things they seemed to have to do in a particular orderNulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_partsIntegerRecommendedMore interested in parts of a toy than the toy0; 10 = No; 1 = Yes
scq_saidsameIntegerRecommendedHave they said the same thing over and overNulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_shphraseIntegerRecommendedIs he/she able to talk using short phrases or sentences?0; 10 = No; 1 = Yes
scq_socinapIntegerRecommendedHave they ever used socially inappropriate questions?Nulled value range of: 0; 1 to accept outlier data. 0 = No; 1 = Yes
scq_totalIntegerRecommendedTotal0 :: 40
scq_unuinterIntegerRecommendedUnusually interested in sight, feel, sound etc of things0; 10 = No; 1 = Yes
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: cs_scq02 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.