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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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Demographics and Medical History



Defined by Dr Sukhodolsky lab at Yale Child Study Center

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*guid
src_subject_idString20RequiredSubject ID how it's defined in lab/projectbid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldinterviewyear
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.dema1
sexString20RequiredSex of the subject
M = Male; F = Femaledema2, gender
Mother;Father;Both; Child; Other; Parent
respondent_other_specifyString50RecommendedRespondent: Other (specify)
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
ethnicityString30RecommendedEthnicity of participant
Hispanic or Latino; Not Hispanic or Latino; Unknown
R = Right; L = Left; B = Both
motherocccatIntegerRecommendedMother's occupation1::10; 9991=homemaker, 2=laborer, 3=clerical, 4=craftsman or artist, 5=technical, 6=professional, 7=farmer, 8=self-employed, 9=other(mother specify), 10=other (father)
momoccucString100Recommendedmother's current occupationmotherocc_notes
fatherocccatIntegerRecommendedFather's occupation1::10; 9991=homemaker, 2=laborer, 3=clerical, 4=craftsman or artist, 5=technical, 6=professional, 7=farmer, 8=self-employed, 9=other(mother specify), 10=other (father)
fatherocupString100RecommendedFather' occupationfatherocc_notes
motheredIntegerRecommendedMother's years of education1::5; 9991=partial high school, 2=high school degree, 3=technical school/partial college, 4=college degree, 5=graduate school degree
motheredu_specify1String100RecommendedMother Other education= specifymothered_notes
fatheredIntegerRecommendedFather's years of education1::5; 9991=partial high school, 2=high school degree, 3=technical school/partial college, 4=college degree, 5=graduate school degree
fatheredu_specify1String200RecommendedFather Other education= specifyfathered_notes
demo_siblingscountIntegerRecommendedNumber of siblings888 = not applicable; 999 = missingsiblings
otherchildrenIntegerRecommendedNumber of children living with participant (include adopted and step siblings)
livingIntegerRecommendedLiving arrangements1::4; 9991=lives with both parents (same residence), 2=lives with both parents (different residence), 3=lives with one parent, 4= other
living_notesString255RecommendedLiving arrangements (specify)
lifedx_peri_1IntegerRecommended1. Perinatal insult or serious neonatal illness (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_pulm_2IntegerRecommended2. Pulmonary (including asthma) (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_cardio_3IntegerRecommended3. Cardiovascular (including high blood pressure) (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga3, mhxa4, mxha19
lifedx_heart_4IntegerRecommended4. Heart Murmur (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_renal_5IntegerRecommended5. Renal (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga7, mhxa8
lifedx_hepatic_6IntegerRecommended6. Hepatic (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga6, mhxa7
lifedx_gi_7IntegerRecommended7. Gastrointestinal (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga5, mhxa6
lifedx_endo_8IntegerRecommended8. Endocrine/Metabolic (including diabetes) (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga10, mhxa11
lifedx_opth_9IntegerRecommended9. Ophthalmologic (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_derm_10IntegerRecommended10. Dermatologic (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga8, mhxa9
lifedx_neuro_11IntegerRecommended11. Neurologic (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga1, mhxa2, mxha23
lifedx_head_12IntegerRecommended12. Head Injury (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_migr_13IntegerRecommended13. Migraine Headaches (diagnosed) (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_uro_14IntegerRecommended14. Urologic (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_gyn_15IntegerRecommended15. Gynecologic (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_psych_16IntegerRecommended16. Psychiatric (known previous diagnosis) (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_surg_17IntegerRecommended17. Major Surgeries (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_allg_18IntegerRecommended18. Allergies (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga12, mhxa14
lifedx_musc_19IntegerRecommended19. Musculoskeletal (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yesmdga9, mhxa10
lifedx_enceph_20IntegerRecommended20. Encephalitis (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
lifedx_mening_21IntegerRecommended21. Meningitis (Lifetime Diagnosis for Child)0::1; 9990=no, 1=yes
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form datalifedx_22_comments
visitidIntegerRecommendedMetaTrial Visit IDSystem variable: unique code for each type of visit -use to merge files
fseqnoIntegerRecommendedSequence Number0::999The FSEQNO variable in the ADJ form has a special interpretation compared to other forms. For example, ADJ FSEQNO of '1' can be thought of as being '001', FSEQNO of '2' can be thought of as being '002', and FSEQNO of '3' can be thought of as being '003'. The first digit of FSEQNO relates to the corresponding ENF sequence number at that visit and the third digit relates to the specific adjudicator who completed the adjudication form.
visdayIntegerRecommendedNumber of days from study baseline to date of visitmdga0b, mhxa0b
mdga2IntegerRecommendedEye, Ears, Nose or Throat0;11=Yes; 0=Nomhxa3
othrespIntegerRecommendedOther respiratory abnormality1;21=No; 2=Yesmdga4, mhxa5
hi_7eIntegerRecommendedPast two years. Osteoporosis0;10=No; 1=Yesmdga9a, mhxa11a
baseline_k_005IntegerRecommendedHas she/he ever been to a doctor for any of these thingsā€¦Diabetes /Diabetes0;1; -888; -999;-70=No; 1=Yes; -888=Not Applicable; -999=Missing/NK; -7=Refused //Now I'd like to ask you about your child's use of health services during the past year and throughout his/her whole life.mdga10a
mdga10bIntegerRecommendedIf Yes, now on insulin0;11=Yes; 0=Nomhxa11b
mdga10cIntegerRecommendedIs patient now on oral hypoglycemic agent0;11=Yes; 0=Nomhxa11c
mdga11IntegerRecommendedHematologic0;11=Yes; 0=Nomhxa12
hi_11lIntegerRecommendedPast two years. HIV Positive or AIDS0;10=No; 1=Yesmdga13, mxha15
mdga14IntegerRecommendedOther0;11=Yes; 0=No
version_formString100RecommendedForm used/assessment name
mhxa1aIntegerRecommendedIs the patient entering the study in an exacerbated state (i.e. current psychiatric hospitalization, crisis intervention, or increase in medication)?0;11=Yes; 0=No
mhxa1bIntegerRecommendedDate crisis resolved (physician determination):
mhxa13String20RecommendedDrug induced leukopenia/neutropeniaA;P;NA=Yes Active; P=Yes Past; N=No
mxha16String20RecommendedOtherA;P;NA=Yes Active; P=Yes Past; N=No
mxha17String20RecommendedGeneral Appearance/SkinA;NA=Abnormal; N=Normal
mxha18String20RecommendedHEENTA;NA=Abnormal; N=Normal
mxha20String20RecommendedChestA;NA=Abnormal; N=Normal
abdompanIntegerRecommendedabdominal pain0;1;-70=No; 1=Yes; -7=Refusedmxha21
mxha22String20RecommendedExtremities/JointsA;NA=Abnormal; N=Normal
smokerIntegerRecommendedSmoker?0;1; 90=No; 1=Yes; 9=NK/missing
start_smokeString50RecommendedStart date of smoking (MM/YY)If unknown, describe briefly
cig_smokeString200RecommendedThe amount of cigarettes you smoke
otherraceString100Recommendedspecify other raceThe following questions are about you or the child's family.
diagnosis_majorpsyString50RecommendedMajor psychiatric Axis I diagnosis
diagnosis_psycomString50RecommendedPsychiatric comorbid diagnoses
diagnosis_medcomString500RecommendedMedical comorbid diagnoses
asaps01gIntegerRecommendedSuicide attempt0;10 = No;1 = Yes
sub_use_disorderIntegerRecommendedSubstance Use Disorder0::40=None; 1=Current; 2=Past; 3=Both Current and Lifetime; 4=Lifetime
findrisc_8IntegerRecommendedHave any members of your patient's immediate family or other relatives (only blood relatives) been diagnosed with diabetes (type 1 or type 2)?0;3;50=No; 3=Yes; grandparent, aunt, uncle, or first cousin; 5=Yes: parent, brother, sister, or own child
visitString50RecommendedVisit name
siteString101RecommendedSiteStudy Site
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: demrdoc01 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.