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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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Family History Interview



Family History Interview

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 fieldfhdate
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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalefh08, gender
family_user_def_idString20RequiredFamily Pedigree User-Defined IDfh01
fh03IntegerRecommended3. Generation number1;2;3;4;5; 9
control_proband_relationIntegerRecommendedif the participant has a relative diagnosed with ASD, specify the relationship to the affected person 0=mother; 1=father; 2=sister; 3=brother; 4=uncle; 5=aunt; 6=cousin; 7=grandmother; 8=grandfather0 :: 80 = Mother; 1 = Father; 2 = Sister; 3 = Brother; 4 = Uncle; 5 = Aunt; 6 = Cousin; 7 = Grandmother; 8 = Grandfatherfh04
fh04othString12Recommended(specify other)
fh05String20Recommended5. Biological mother's id
fh06String20Recommended6. Biological father's id
fh07IntegerRecommended7. Subject adopted0;1;9
fh13IntegerRecommendedBirth order0::13; 9999 = Missing value
fh14IntegerRecommended14. Social sibship order0;1;2;3;8; 9
fh15IntegerRecommended15. Side of family0;1;8; 9
age_at_death_monthsIntegerRecommendedAge at death in monthsfh16
fh17IntegerRecommended17. Marital status0;1;2;3;4;5;6;7;8; 9
fh18IntegerRecommended18. Consanguineous marriage0;1;2;8; 9
fh18bString40Recommended(specify relationship)
fh19IntegerRecommended19. Offspring of consanguineous parents0;1;2; 9
fh19bString40Recommended(specify details)
fh20IntegerRecommended20. Number of marriages0::9
fh21IntegerRecommended21. Education0;1;2;3;4;6;7;8; 9
fh22IntegerRecommended22. Occupation0;1;2;3;4;5;6;7;8; 9
fh23IntegerRecommended23. Inapplicability0;2; 9
fh24IntegerRecommended24. Peculiar gait0;1;2;7;8; 9
fh25IntegerRecommended25. Epilepsy0;1;2; 9
fh26IntegerRecommended26. Language delay0;1;2;7;8; 9
fh27IntegerRecommended27. Mental retardation0;1;2;3;4;7;8; 9
fh28IntegerRecommended28. Cause of retardation0;1;2;3;7;8; 9
fh29IntegerRecommended29. Reading retardation0;1;2;7;8; 9
fh29amIntegerRecommended29A. Learning disability: Math0;1;2;7;8; 9
fh29asIntegerRecommended29A. Learning disability: Spelling0;1;2;7;8; 9
fh29awIntegerRecommended29A. Learning disability: Writing0;1;2;7;8; 9
fh29bIntegerRecommended29B. Language articulation0;1;2;8; 9
fh30IntegerRecommended30. Social disorder0;1;8; 9
fh31IntegerRecommended31. Lack of affection0;1;2;7;8; 9
fh32IntegerRecommended32. Impaired social play0;1;2;7;8; 9
fh33IntegerRecommended33. Circumscribed interests (childhood)0;1;2;7;8; 9
fh34IntegerRecommended34. Circumscribed interests (adultdhood)0;1;2;7;8; 9
fh35IntegerRecommended35. Impaired friendships (childhood)0;1;2;7;8; 9
fh36IntegerRecommended36. Impaired friendships (adulthood)0;1;2;7;8; 9
fh37IntegerRecommended37. Shyness (childhood)0;1;2;7;8; 9
fh38IntegerRecommended38. Shyness (adulthood)0;1;2;7;8; 9
fh39IntegerRecommended39. Lack of conversation (childhood)0;1;2;7;8; 9
fh40IntegerRecommended40. Impaired conversation (adulthood)0;1;2;7;8; 9
fh41IntegerRecommended41. Social dysfunction (childhood)0;1;2;7;8; 9
fh42IntegerRecommended42. Social dysfunction (adulthood)0;1;2;7;8; 9
fh43IntegerRecommended43. Socially odd (childhood)0;1;2;7;8; 9
fh44IntegerRecommended44. Socially odd (adulthood)0;1;2;7;8; 9
fh45IntegerRecommended45. Over-sensitive (childhood)0;1;2;7;8; 9
fh46IntegerRecommended46. Over-sensitive (adulthood)0;1;2;7;8; 9
fh47IntegerRecommended47. Rigid style (childhood)0;1;2;7;8; 9
fh48IntegerRecommended48. Rigid style (adulthood)0;1;2;7;8; 9
fh49IntegerRecommended49. Impairment in social interaction0;1;2;7; 9
fh50IntegerRecommended50. Impairment in communication0;1;2;7; 9
fh51IntegerRecommended51. Repetitive behavior0;1;2;7; 9
fh52IntegerRecommended52. Age abnormalities manifest0;1;8; 9
fh53IntegerRecommended53. Autism0;1;2;6;7; 9
fh54IntegerRecommended54. Psychiatric disorder screen0;1;8; 9
fh55IntegerRecommended55. Alcohol abuse0;1;2;3;8; 9
fh56IntegerRecommended56. Drug abuse0;1;2;3;8; 9
fh57IntegerRecommended57. Depression0;1;2;3;5;7;8; 9
fh571IntegerRecommended57.1. Number of 2-week episodes0::888; 9
fh572IntegerRecommended57.2. Number since second child with disability0::888; 9
fh57aIntegerRecommended57A. Anxiety0;1;2;3;5;7;8; 9
fh57a1IntegerRecommended57A.1. Number of months symptoms lasted0::888; 9
fh57a2IntegerRecommended57A.2. Number since second child with disability0::888; 9
fh58IntegerRecommended58. Affective disorder (summary)0;1;2;3;5;7;8; 9
fh59IntegerRecommended59. Bipolar affective disorder (summary)0;1;2;3;5;8; 9
fh60IntegerRecommended60. Schizophrenia etc.0;1;2;3;5;8; 9
fh61IntegerRequired61. Hyperactivity and ADD or ADHD0;1;2;5;8; 9
fh62IntegerRecommended62. Oppositional defiant disorder0;1;2;5;8; 9
fh63IntegerRecommended63. Conduct disorder0;1;2;3;5;8; 9
fh64IntegerRecommended64. Obsessive-Compulsive Disorder0;1;2;3;5;8; 9
fh65IntegerRecommended65. Tics0;1;2; 9
fhsocdefIntegerRequiredFHI Social (0=No, 1=TypeI, 2=TypeII)0::2; -9990 = No deficit; 1 = Type I deficit; 2 = Type II deficit; -999 = Missing value
fhcomdefIntegerRequiredFHI Communcation (0=No, 1=TypeI, 2=TypeII)0::2; -9990 = No deficit; 1 = Type I deficit; 2 = Type II deficit; -999 = Missing value
fhrepdefIntegerRequiredFHI Repetitive (0=No, 1=TypeI, 2=TypeII)0::2; -9990 = No deficit; 1 = Type I deficit; 2 = Type II deficit; -999 = Missing value
fhtotIntegerRequiredFHI Total # of deficits (0,1,2-3)
fhsocIntegerRequiredFHI Social (0=No, 1=Yes)0; 1;-9990 = No deficit; 1 = Yes deficit; -999 = Missing value
fhcomIntegerRequiredFHI Communcation (0=No, 1=Yes)0; 1;-9990 = No deficit; 1 = Yes deficit; -999 = Missing value
fhrepIntegerRequiredFHI Repetitive (0=No, 1=Yes)0; 1;-9990 = No deficit; 1 = Yes deficit; -999 = Missing value
fhdefsIntegerRequiredFHI Pattern of deficits
fhscrmsgString200RecommendedFHI Scoring message
fhqualIntegerRequiredFHI: Quality of information0; 1;2;8;9
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form datahcmnt
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: fhi01 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.