NDA Help Center

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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

Value Range
Data Structures with shared data
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Framingham Stroke Risk Profile



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotes
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/biospecimen 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
siteString100RecommendedSiteStudy Site
vital_sysbpFloatRecommendedBlood Pressure (sitting for 3 minutes)mmHg (systolic)0::500; 999999=NK/missing
vital_diabpIntegerRecommendedBlood Pressure (sitting for 3 minutes)mmHg (diastolic)0::500
q21_7dIntegerRecommendedAntihypertensives for high blood pressure0; 1; 9990=No; 1=Yes; 999=Missing/NA/NK
cr2IntegerRecommendedDiabetes Mellitus0;10 = No current diabetes or random BS < 220;1 = Diagnosis of diabetes or random BS >220
fsr5IntegerRecommendedHas the subject been smoking tobacco in the past 6 months?0;10 = No; 1 = Yes
fsr6IntegerRecommendedDoes subject have history of intermittent claudication (pain in the legs when walking due to vascular disease) or heart failure, myocardial infarction (heart attack), heart/chest pain from the heart, or heart disease?0;10 = No; 1 = Yes
fsr7IntegerRecommendedDoes subject have history of irregular heart beats?0;10 = No; 1 = Yes
fsr7aIntegerRecommended(If yes, ask what kind - controlled or uncontrolled?)0;1subject may be on blood thinners or beta blockers; 0 = Controlled, 1 = Uncontrolled
cr6IntegerRecommendedLeft Ventricular Hypertrophy (by EKG criteria)?0;10 = no;1 = yes
visitString50RecommendedVisit nameCharacter description of each type of visit
days_baselineIntegerRecommendedDays since baseline
visnumFloatRecommendedNumeric Visit Number-1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
me2IntegerRecommendedStatus0;10 = Past [Inactive]; 1 = Active
fram1IntegerRecommendedFramingham weighted: 1. Age in Years2::10
fram2IntegerRecommendedFramingham weighted: 2. Systolic Blood Pressure, mm Hg0::10
fram3IntegerRecommendedFramingham weighted: 3. Antihypertensive Therapy0::6
fram4IntegerRecommendedFramingham weighted: 4. Diabetes Mellitus0;2;3
fram5IntegerRecommendedFramingham weighted: 5. Cigarette Smoking0;3
fram6IntegerRecommendedFramingham weighted: 6. Vascular Disease0;2;3
fram7IntegerRecommendedFramingham weighted: 7. Atrial Fibrillation0;4;6
fram8IntegerRecommendedFramingham weighted: 8. Left Ventricular Hypertrophy LVH0;4;6
framcntIntegerRecommendedFramingham Number of Scored Items (FRAM1 - FRAM8)7;8
framghamIntegerRecommendedFramingham Score: Sum of Scored Items (FRAM1 - FRAM8)2::27
fram10yrFloatRecommendedFramingham 10 Year Risk in %
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: frs01 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.