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NDA Help Center

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



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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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Dietary Questionnaire



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/projectrecord_id, stepid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldv10_bdq_date, v2_bdq_date, v3_bdq_date, v4_bdq_date, v5_bdq_date, v6_bdq_date, v7_bdq_date, v8_bdq_date, v9_bdq_date
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.v10_bdq_age, v2_bdq_age, v3_bdq_age, v4_bdq_age, v5_bdq_age, v6_bdq_age, v7_bdq_age, v8_bdq_age, v9_bdq_age
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
daysrzIntegerRecommendeddays since randomization
visitString50RecommendedVisit nameo3visit
eggyolksIntegerRecommendedconsumption egg yolks over past 4 weeks0;10=Never or less than 5 per week; 1=5 or more per week
poultryIntegerRecommendedpoultry consumption over past 4 weeks0::20=0-4 per week; 1=5-9 per week; 2=10 or more per week
shelfishIntegerRecommendedshellfish consumption over past 4 weeks0::20=0-3 per month; 1=1-2 per week; 2=3 or more per week
othfishIntegerRecommendedother fish consump over past 4 weeks0::30=Never or less than 1 per month; 1=1-3 per month; 2=1-2 per week; 3=3 or more per week
liversIntegerRecommendedliver consumption over past 4 weeks0::30=Never or less than 1 per month; 1=1-3 per month; 2=1-2 per week; 3=3 or more per week
siteString101RecommendedSiteStudy Sitesite_id, siteid
diet_participant_attendanceIntegerRecommendedParticipant show up for appointment?0;10=Yes; 1=No
diet_diary_completeIntegerRecommendedDiary complete?0;10=Yes; 1=No
diet_food_pickupIntegerRecommendedFood pick up?0;10=Yes; 1=No
aeString250RecommendedAdverse event Descriptionadverse_events
diet_complianceIntegerRecommendedDiet Compliance1::51=Excellent; 5=Poor
meatIntegerRecommendedEat red meat0::30= never; 1= rarely; 2= sometimes; 3= alwaysv10_bdq_1meat, v2_bdq_1meat, v3_bdq_1meat, v4_bdq_1meat, v5_bdq_1meat, v6_bdq_1meat, v7_bdq_1meat, v8_bdq_1meat, v9_bdq_1meat
sweetbeverageIntegerRecommendedDrink sweetened beverages0::30= never; 1= rarely; 2= sometimes; 3= alwaysv10_bdq_2sweetbeverage, v2_bdq_2sweetbeverage, v3_bdq_2sweetbeverage, v4_bdq_2sweetbeverage, v5_bdq_2sweetbeverage, v6_bdq_2sweetbeverage, v7_bdq_2sweetbeverage, v8_bdq_2sweetbeverage, v9_bdq_2sweetbeverage
refinedsugarIntegerRecommendedEat refined sugar0::30= never; 1= rarely; 2= sometimes; 3= alwaysv10_bdq_3refinedsugar, v2_bdq_3refinedsugar, v3_bdq_3refinedsugar, v4_bdq_3refinedsugar, v5_bdq_3refinedsugar, v6_bdq_3refinedsugar, v7_bdq_3refinedsugar, v8_bdq_3refinedsugar, v9_bdq_3refinedsugar
fruitveggieIntegerRecommendedEat fruits and vegetables0::30= never; 1= rarely; 2= sometimes; 3= alwaysv10_bdq_4fruitveggie, v2_bdq_4fruitveggie, v3_bdq_4fruitveggie, v4_bdq_4fruitveggie, v5_bdq_4fruitveggie, v6_bdq_4fruitveggie, v7_bdq_4fruitveggie, v8_bdq_4fruitveggie, v9_bdq_4fruitveggie
multivitaminIntegerRecommendedTake multivitamins0::30= never; 1= rarely; 2= sometimes; 3= alwaysv10_bdq_5multivitamin, v2_bdq_5multivitamin, v3_bdq_5multivitamin, v4_bdq_5multivitamin, v5_bdq_5multivitamin, v6_bdq_5multivitamin, v7_bdq_5multivitamin, v8_bdq_5multivitamin, v9_bdq_5multivitamin
medication_nameString255RecommendedName of medication
medication2_nameString200RecommendedName second medication that the participant has taken0 = No medication; 999= Legitimately skipped
medication3_nameString150RecommendedName third medication that the participant has taken0 = No medication; 999= Legitimately skipped
medication4_nameString100RecommendedName fourth medication that the participant has taken0 = No medication; 999= Legitimately skipped
medication_5_nameString50Recommendedspecify med 5
medication_6_nameString50Recommendedspecify med 6
medication_7_nameString50Recommendedspecify med 7
medication_8_nameString50Recommendedspecify med 8
saliva_foodsIntegerRecommendedWhat foods and drinks did you have after 7pm the night prior or the day of providing the samples?1::81= No Problematic Foods; 2= Foods containing caffeine or xanthenes; 3= Alcohol; 4= Dairy Products; 5= 2and3; 6= 2and4; 7= 3and4; 8= 2and3and4
saliva_bedtimeString5RecommendedWhat time did you go to bed the night prior to providing the samples and what time did you get up this morning? Bedtime:24 hr clock hh:mm
saliva_wakeupString5RecommendedWhat time did you go to bed the night prior to providing the samples and what time did you get up this morning? Wake-Up:24 hr clock hh:mm
saliva_smkIntegerRecommendedDid you smoke prior to sample?0;10=No; 1=Yes
saliva_exrcsIntegerRecommendedAny aerobic or weight exercises prior to sample?0;10=No; 1=Yes
saliva1_timeString5RecommendedTime sample 1 was taken24 hr clock hh:mm
saliva2_timeString5RecommendedTime sample 2 was taken24 hr clock hh:mm
saliva_prescrIntegerRecommendedHow many different prescriptions for aniphsychotics, antidepressants or stimulants were taken in the 24 hours prior to providing any samples? Please specify0::55= Greater than 4
version_formString100RecommendedForm used/assessment name
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: dq01 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.