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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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Autism Clinical Certainty Score

accs

01

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 field
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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
phenotypeString200RecommendedPhenotype/diagnosis for the subjectp1selectdiagnosis
phenotype_descriptionString4,000RecommendedDescription of the phenotype for the subjectp2whatisyourlevelofcertainty
othersfactorfordiagnosiString100RecommendedOther What specific factors had an impact on the level of certainty for diagnosis selected on Question 2otherspecificfactorfordiagnosi
sfactorfordia_comorbidconIntegerRecommendedComorbid conditions or concurrent illness0;10=No;1=Yesspecificfactorfordia_comorbidcon
sfactorfordia_discrepanc1IntegerRecommendedDiscrepancy between clinician assessment and formal assessment measures0;10=No;1=Yesspecificfactorfordia_discrepanc1
sfactorfordia_discrepanc2IntegerRecommendedDiscrepancy between parent report and direct observation0;10=No;1=Yesspecificfactorfordia_discrepanc2
sfactorfordia_levelofcognIntegerRecommendedLevel of cognitive impairment or deficits makes determination of ASD features difficult0;10=No;1=Yesspecificfactorfordia_levelofcogn
sfactorfordia_limitedtestIntegerRecommendedLimited testing and/or observation0;10=No;1=Yesspecificfactorfordia_limitedtest
sfactorfordia_otherIntegerRecommendedSpecial Factors, Other0;10=No;1=Yesspecificfactorfordia_other
sfactorfordia_recentmedicIntegerRecommendedRecent medication changes0;10=No;1=Yesspecificfactorfordia_recentmedic
sfactorfordia_sedationforIntegerRecommendedSedation for medical procedures prior to developmental testing0;10=No;1=Yesspecificfactorfordia_sedationfor
sfactorfordia_seizureactiIntegerRecommendedSeizure activity during administration0;10=No;1=Yesspecificfactorfordia_seizureacti
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: accs01 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.