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Frequently Asked Questions


NDA Help Center

Filter Cart

The Filter Cart provides a way to query and access data for which you may be interested.  There are multiple places to go query and Add to Filter Cart (Sometimes called Download).  

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 add subjects, sometimes it may take a few minutes to populate.  You can continue to do other things 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 available for the subjects selected 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 available.  However, if you want to see all of the clinical and phenotype, then select, "Find All Subject Data" to see all the data avaialble for those subjects.  

when a secord or third filter is applied, an AND condition is used to determine the subjects that are exist in all filters.  If the subject does not appear in any filter, that subjects data will be excluded from your filter cart. Given the sparcity of data in the NDA, it is possible for no subjects to appear across filters.  If that happens, clear your filter cart, and start over.  

The NDA is looking to enhance query/filtering.  Until additional tools become available, it is best to package more data than you need and then package and download the data and use other tools to further restrict and analyze the data.  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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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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NYU Demographics



NYU Demographics

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/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
raceString30RequiredRace of study subjectAmerican Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reportedbaby_race
ethnicityString30RecommendedEthnicity of participant
Hispanic or Latino; Not Hispanic or Latino; Unknown
fh13IntegerRecommendedBirth order0::13; 9999 = Missing valuebaby_birthorder
mother_ageIntegerRecommendedMother's age0 :: 1200
bio_mother_raceString150RecommendedBiological Mother Race
American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
bio_mother_ethnicityString50RecommendedBiological Mother Ethnicity
Hispanic or Latino;Not Hispanic or Latino; No Answer
father_ageIntegerRecommendedFather's age0 :: 1200
bio_father_raceString150RecommendedBiological Father RaceAmerican Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
bio_father_ethnicityString50RecommendedBiological Father ethnicity (Hispanic or Latino, Not Hispanic or Latino, No Answer)
Hispanic or Latino; Not Hispanic or Latino; No Answer
resp_relationshipIntegerRecommendedRespondent's relationship to child1 = Mother (biological); 2 = Stepmother; 3 = Adoptive mother; 4 = Grandmother; 5 = Foster mother; 6 = Other; 7 = Father (biological); 8 = Stepfather; 9 = Adoptive father; 10 = Grandfather; 11 = Foster father
resp_ageIntegerRecommendedRespondent's age0::1200In months
resp_raceString150RecommendedRespondent's raceAmerican Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
resp_ethnicityString30RecommendedRespondent's ethnicityHispanic or Latino;Not Hispanic or Latino;Unknown or not reported
resp_educationIntegerRecommendedRespondent's education1::91 = Less than 8th grade; 2 = 9th-11th grade; 3 = High school or GED; 4 = Trade or vocational; 5 = Associate's degree or 2 years; 6 = Courses towards college; 7 = Bachelor's degree; 8 = Master's degree; 9 = Professional degree (MD, PhD, JD)
demo_resp_statusIntegerRecommendedrespondent's marital status1 :: 111 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together;9 = Missing/Not Applicable; 10 = Other; 11=Refused to answerresp_maritalstatus
resp_employmentstatusIntegerRecommendedRespondent's employment status1::61 = Working at a full-time paid job (35 or more hours a week); 2 = Working at a part-time paid job (less than 35 hours a week); 3 = A full-time student (3 or more class/semester); 4 = A part-time student (1 or 2 classes/semester); 5 = Not currently working; 6 = Other
resp_occupationString255RecommendedRespondent's occupation
resp_householdincomeIntegerRecommendedRespondent's total household income in the last year before taxes1::111 = $20,000 or less; 2 = $20,000-$40,000; 3 = $40,000-$60,000; 4 = $60,000-$100,000; 5 = $100,000-$125,000; 6 = $125,000-$150,000; 7 = $125,000-$150,000; 8 = $150,000-$200,000; 9 = $200,000 or higher; 10 = I don't know; 11 = I prefer not to answer
num_in_house_adultsIntegerRecommendedNumber of Individuals in Household Adultshousehold_adults
num_in_house_kidsIntegerRecommendedNumber of Individuals in Household Childrenhousehold_children
resp_autismbiochildrenIntegerRecommendedNumber of biological children in household not counting the baby participating, that have been diagnosed with an Autism Spectrum Disorder, including Asperger syndrome and PDDNOS
bio_childage_1IntegerRecommendedBiological child 1 age0::1200In months
bio_childgender_1String50RecommendedBiological child 1 genderMale; Female
bio_childdiagnosis_1String255RecommendedBiological child 1 diagnosis
bio_childage_2IntegerRecommendedBiological child 2 age0::1200In months
bio_childgender_2String50RecommendedBiological child 2 genderMale; Female
bio_childdiagnosis_2String255RecommendedBiological child 2 diagnosis
bio_childage_3IntegerRecommendedBiological child 3 age0::1200In months
bio_childgender_3String50RecommendedBiological child genderMale; Female
bio_childdiagnosis_3String255RecommendedBiological child diagnosis
bio_childage_4IntegerRecommendedBiological child 4 age0::1200In months
bio_childgender_4String50RecommendedBiological child genderMale; Female
bio_childdiagnosis_4String255RecommendedBiological child diagnosis
bio_childage_5IntegerRecommendedBiological child 5 age0::1200In months
bio_childgender_5String50RecommendedBiological child genderMale; Female
bio_childdiagnosis_5String255RecommendedBiological child diagnosis
bio_childage_6IntegerRecommendedBiological child 6 age0::1200In months
bio_childgender_6String50RecommendedBiological child genderMale; Female
bio_childdiagnosis_6String255RecommendedBiological child diagnosis
resp_spouseIntegerRecommendedDo you have a spouse or partner who lives with you and your child1;21 = Yes; 2 = No
spouse_ageIntegerRecommendedSpouse's age0::1200In months
spouse_relatedtobabyIntegerRecommendedSpouse's relation to baby1::111 = Mother (biological); 2 = Stepmother; 3 = Adoptive mother; 4 = Grandmother; 5 = Foster mother; 6 = Other; 7 = Father (biological); 8 = Stepfather; 9 = Adoptive father; 10 = Grandfather; 11 = Foster father
demo_partner_eduString100RecommendedSpouse/partner highest education level
Less than 8th grade; 9th grade to 11th grade; High School Graduate/GED or equivalent; Some college credit, but less than 1 year; Technical college/vocational school; Associate degree; Bachelor degree; Master degree; Professional degree (MD, PhD, JD)
demo_partner_emp_statusString100RecommendedSpouse/partner employment status
Not employed; Employed part-time; Employed full-time; Full-time student;Part-time student; Other
NYU DEMOGRAPHICS: Full-time working is 35 or more hours a week. Part-time working is less than 35 hours a week. Full-time student is 3 or more classes per semester. Part-time student is 1 or 2 classes per semester.spouse_employment
demo_partner_occupationString100RecommendedSpouse/partner Occupationspouse_occupation
partner_involvemIntegerRecommendedHow involved is your partner in caring for your child0 :: 30 = Not at all involved; 1 = Somewhat involved; 2 = Very involved; 3 = Extremely involvedspouse_involvement
language_spokenString255RecommendedLanguage Spoken at Homehousehold_languages
child_englishexposureIntegerRecommendedHow often do you and your spouse speak to your child in English1;2;31 = We always talk to him/her in English; 2 = We sometimes talk to him/her in English; 3 = We rarely talk to him/her in English
commentsString4,000RecommendedComments about assessment
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: nyu_demographics01 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.