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Frequently Asked Questions


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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CRISP 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/projectpatient_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddemo_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.age
sexString20RequiredSex of the subject
M = Male; F = Femalegender
aescodeIntegerRecommendedStaff code number of person completing this formdemo_interviewer
entry_statusIntegerRecommendedEntry status1::51 = Inpatient; 2 = Outpatient; 3 = Nursing Home ; 4 = Partial Hospital ; 5 = Other
liveIntegerRecommendedLiving arrangements1::51 = Lives alone; 2 = Lives with Others; 3 = Senior Residence; 4 = Nursing home; 5 = Other
live_othersString200RecommendedLiving otherlive_other
maritalstatusIntegerRecommendedMarital Status:0::5;-99;77;880= Married ; 1= Living together ; 2= Separated ; 3= Divorced ; 4= Single ; 5 = Widowed -99= N/A ; 77= Refused ; 88= Missingmarital_status
ethnicityString30RecommendedEthnicity of participant
Hispanic or Latino; Not Hispanic or Latino; Unknown
raceString30RecommendedRace of study subject
American Indian/Alaska Native; Asian; Hawaiian or Pacific Islander; Black or African American; White; More than one race; Unknown or not reported
otherraceString100Recommendedspecify other raceThe following questions are about you or the child's family.race_other
educatFloatRecommendedNumber of years in formal education999=Unknown/Missingeducation
rel_organizedString50RecommendedSpecify "other organized religionreligion_other
occ_titleString100RecommendedPatient(s) occupational title
subjectindustryString100RecommendedSubject's occupation: Industry or type of businessind_type
workynIntegerRecommendedIs the client currently working
0=No; 1=Yescur_work, cw
occ_title_2String100RecommendedPatient(s) spouse(s) occupational titleocc_title_sp
ind_type_2String100RecommendedPatient(s) spouse(s) industry or type of businessind_type_sp
curr_zipcodeIntegerRecommendedI would like to verify your address. Please give me your complete address. Zip Code PX010801_ZIP_Codezip
cp_relationshipString100RecommendedContact person: Relationship
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form datacomments_demo, demo_comments
fr_1IntegerRecommendedThinking about your money situation, would you say you:1::31 =Can't make ends meet ; 2 =Have just enough to get along ; 3 =Are comfortablefinres_1
fr_2IntegerRecommendedPatient(s) range of income1::231 =Less than $9,000 ; 2 =$9,000 to $12,999 ; 3 =$13,000 to $15,999 ; 4 =$16,000 to $18,999 ; 5 =$19,000 to $21,999 ; 6 =$22,000 to $24,999 ; 7 =$25,000 to $27,999 ; 8 =$28,000 to $30,999 ; 9 =$31,000 to $34,999 ; 10 =$35,000 to $39,999 ; 11 =$40,000 to $44,999 ; 12 =$45,000 to $49,999 ; 13 =$50,000 to $54,999 ; 14 =$55,000 to $59,999 ; 15 =$60,000 to $64,999 ; 16 =$65,000 to $69,999 ; 17 =$70,000 to $74,999 ; 18 =$75,000 to $79,999 ; 19 =$80,000 to $84,999 ; 20 =$85,000 to $89,999 ; 21 =$90,000 to $94,999 ; 22 =$95,000 to $99,999 ; 23 =$100,000 or morefinres_2
fr_3String10RecommendedPatient(s) medicaid status
finres_commentsString50RecommendedFinancial Resources comments
dodeString10RecommendedDate of Data Entrydemo_entered
siteString101RecommendedSiteStudy Site
ind_typeString50RecommendedIndustry/Type of Business (Subject)
occ_codeIntegerRecommendedOccupational Code (subject)1::81= Farm Laborer, Day Laborer; 2= Unskilled Worker, Service Worker; 3= Machine Operator, Semiskilled Worker; 4= Skilled Manual Worker; 5= Clerical/Sales, Small Farm Owner; Technician, Semiprofessional, Supervisor, Office Mgr; 6= Small Business Owner, Farm Owner, Teacher; 7= Mid-Level Manager or Professional; 8= Senior Manager or Professional
occ_code_spIntegerRecommendedOccupational Code (Spouse)1::81= Farm Laborer, Day Laborer; 2= Unskilled Worker, Service Worker; 3= Machine Operator, Semiskilled Worker; 4= Skilled Manual Worker; 5= Clerical/Sales, Small Farm Owner; Technician, Semiprofessional, Supervisor, Office Mgr; 6= Small Business Owner, Farm Owner, Teacher; 7= Mid-Level Manager or Professional; 8= Senior Manager or Professional
pp_idIntegerRecommendedDFTA STARS Peer Place ID
hr_idString50RecommendedHealth Rhythms ID
sfq30IntegerRecommendedMedicaid1; 01=Yes; 0=Nofinres_3
publicaIntegerRecommendedPublic Insurance: Medicare0;1;-7; 30 = No; 1 = Yes; -7 = Refused; 3=DKfinres_4
surfqlIntegerRecommendedL. Food stamps0;1;31 = Yes; 0 = No; 3 = Not knownfinres_5
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: crisp_demo01 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.