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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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EMBARC Demographics

embdem

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/projectsubject_id
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.age_evaluation
genderString20RequiredSex of the subjectM;FM = Male; F = Femalesex
demo_educa_statusIntegerRecommendedEducation1::71=Completed higher education; 2=Completed some higher education; 3=No higher education; 4=High school diploma; 5=GED or equivalent; 6=Did not graduate high school; 7=N/A
edutotFloatRecommendedTotal years of educationdemo_educa_years
employstIntegerRecommendedCurrent employment status1::81 = Working full-time job; 2 = Working part-time job; 3=not employed; 4=NA; 5 =retired;6=Disability recipient; 7=Student; 8=Otherdemo_employ_status
thousIntegerRecommendedTotal number of persons in householddemo_hous_numbr
demo_income_queIntegerRecommendedWhat is the total income
demo_maritial_statusIntegerRecommendedMarital Status:1::51=Single/Never married; 2=Married or living with someone as if married; 3= Divorced or annulled; 4= Separated; 5=Widowed
totincomString40RecommendedMonthly household incomedemo_monthly_income
demo_ssn_statusIntegerRecommended6. Social Security Number Status (not the number)1;2;91=Has SSN; 2=No SSN; 9=N/A
hispanicIntegerRecommendedIs subject of Hispanic, Latino, or Spanish origin?0; 10 = No; 1 = Yeshispa
raceString30RecommendedRace of study subjectAmerican Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
subject_descriptionString4,000RecommendedSubject related information (e.g the affection, phenotype, disease information, etc.).
siteString100RecommendedSiteStudy Site
studyString100RecommendedStudy
weekFloatRecommendedWeek in level/study99=week 10-week 14
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: embdem01 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.