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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

Glossary

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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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Barratt Simplified Measure of Social Status

bsmss

01

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/projectdemo_study_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldvisit_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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
bsmss01_motherIntegerRecommendedMother's Level of School Completed3;6;9;12;15;18;213= Less than 7th grade; 6= Junior high/Middle School (9th grade); 9= Partial High school (10th or 11th grade); 12= High School Graduate; 15= Partial college (at least one year); 18= College education; 21= Graduate degreeses_edu_level_mother
bsmss02_fatherIntegerRecommendedFather's Level of School Completed3;6;9;12;15;18;213= Less than 7th grade; 6= Junior high/Middle School (9th grade); 9= Partial High school (10th or 11th grade); 12= High School Graduate; 15= Partial college (at least one year); 18= College education; 21= Graduate degreeses_edu_level_father
bsmss03_spouseIntegerRecommendedSpouse's Level of School Completed3;6;9;12;15;18;213= Less than 7th grade; 6= Junior high/Middle School (9th grade); 9= Partial High school (10th or 11th grade); 12= High School Graduate; 15= Partial college (at least one year); 18= College education; 21= Graduate degreeses_edu_level_fpartner, ses_edu_level_mpartner
bsmss04_selfIntegerRecommendedParticipant's level of school completed3;6;9;12;15;18;213= Less than 7th grade; 6= Junior high/Middle School (9th grade); 9= Partial High school (10th or 11th grade); 12= High School Graduate; 15= Partial college (at least one year); 18= College education; 21= Graduate degree
bsmss05_motherIntegerRecommendedMother's Occupation5;10;15;20;25;30;35;40;455= Day laborer, janitor, house cleaner, farm worker, food counter sales, food preparation worker, busboy; 10= Garbage collector, short-order cook, cab driver, shoe sales, assembly line workers, masons, baggage porter; 15= Painter, skilled construction trade, sales clerk, truck driver, cook, sales counter or general office clerk; 20= Automobile mechanic, typist, locksmith, farmer, carpenter, receptionist, construction laborer, hairdresser; 25= Machinist, musician, bookkeeper, secretary, insurance sales, cabinet maker, personnel specialist, welder; 30= Supervisor, librarian, aircraft mechanic, artist and artisan, electrician, administrator, military enlisted personnel, buyer; 35= Nurse, skilled technician, medical technician, counselor, manager, police and fire personnel, financial manager, physical, occupational, speech therapist; 40= Mechanical, nuclear, and electrical enginneer, educational administrator, veterinarian, military officer, elementary, high school and special education teacher; 45= Physician, attorney, professor, chemical and aerospace engineer, judge, CEO, senior manager, public official, psychologist, pharmacist, accountantses_occ_mother
bsmss06_fatherIntegerRecommendedFather's Occupation5;10;15;20;25;30;35;40;455= Day laborer, janitor, house cleaner, farm worker, food counter sales, food preparation worker, busboy; 10= Garbage collector, short-order cook, cab driver, shoe sales, assembly line workers, masons, baggage porter; 15= Painter, skilled construction trade, sales clerk, truck driver, cook, sales counter or general office clerk; 20= Automobile mechanic, typist, locksmith, farmer, carpenter, receptionist, construction laborer, hairdresser; 25= Machinist, musician, bookkeeper, secretary, insurance sales, cabinet maker, personnel specialist, welder; 30= Supervisor, librarian, aircraft mechanic, artist and artisan, electrician, administrator, military enlisted personnel, buyer; 35= Nurse, skilled technician, medical technician, counselor, manager, police and fire personnel, financial manager, physical, occupational, speech therapist; 40= Mechanical, nuclear, and electrical enginneer, educational administrator, veterinarian, military officer, elementary, high school and special education teacher; 45= Physician, attorney, professor, chemical and aerospace engineer, judge, CEO, senior manager, public official, psychologist, pharmacist, accountantses_occ_father
bsmss07_spouseIntegerRecommendedSpouse's Occupation5;10;15;20;25;30;35;40;455= Day laborer, janitor, house cleaner, farm worker, food counter sales, food preparation worker, busboy; 10= Garbage collector, short-order cook, cab driver, shoe sales, assembly line workers, masons, baggage porter; 15= Painter, skilled construction trade, sales clerk, truck driver, cook, sales counter or general office clerk; 20= Automobile mechanic, typist, locksmith, farmer, carpenter, receptionist, construction laborer, hairdresser; 25= Machinist, musician, bookkeeper, secretary, insurance sales, cabinet maker, personnel specialist, welder; 30= Supervisor, librarian, aircraft mechanic, artist and artisan, electrician, administrator, military enlisted personnel, buyer; 35= Nurse, skilled technician, medical technician, counselor, manager, police and fire personnel, financial manager, physical, occupational, speech therapist; 40= Mechanical, nuclear, and electrical enginneer, educational administrator, veterinarian, military officer, elementary, high school and special education teacher; 45= Physician, attorney, professor, chemical and aerospace engineer, judge, CEO, senior manager, public official, psychologist, pharmacist, accountantses_occ_fpartner, ses_occ_mpartner
bsmss08_selfIntegerRecommendedParticipant's Occupation5;10;15;20;25;30;35;40;455= Day laborer, janitor, house cleaner, farm worker, food counter sales, food preparation worker, busboy; 10= Garbage collector, short-order cook, cab driver, shoe sales, assembly line workers, masons, baggage porter; 15= Painter, skilled construction trade, sales clerk, truck driver, cook, sales counter or general office clerk; 20= Automobile mechanic, typist, locksmith, farmer, carpenter, receptionist, construction laborer, hairdresser; 25= Machinist, musician, bookkeeper, secretary, insurance sales, cabinet maker, personnel specialist, welder; 30= Supervisor, librarian, aircraft mechanic, artist and artisan, electrician, administrator, military enlisted personnel, buyer; 35= Nurse, skilled technician, medical technician, counselor, manager, police and fire personnel, financial manager, physical, occupational, speech therapist; 40= Mechanical, nuclear, and electrical enginneer, educational administrator, veterinarian, military officer, elementary, high school and special education teacher; 45= Physician, attorney, professor, chemical and aerospace engineer, judge, CEO, senior manager, public official, psychologist, pharmacist, accountant
bsmss09FloatRecommendedAverage score for Parent's Level of School Completed
bsmss13FloatRecommendedAverage score for Parent's Occupation
bsmss10FloatRecommendedAverage Level of School Completed score for participant and spouseIf participant is full time student, leave blank
bsmss14FloatRecommendedAverage Occupation score for participant and spouseIf participant is a full time student, leave blank
bsmss11FloatRecommendedDouble the Average Level of School completed score for Participant and SpouseIf participant is a full time student, leave blank
bsmss15FloatRecommendedDouble the Occupation score for participant and spouseIf participant is a full time student, leave blank
bsmss12FloatRecommendedTotal Level of School Completed Score3::21Add parent's average level of school completed score and doubled participant/spouse average level of school completed score and divide by 3. If full time student, enter only parents' score
bsmss16FloatRecommendedTotal Occupation score5::45Add parent's average occupation score and doubled participant/spouse average occupation score and divide by 3. If full time student, enter only parents' score
bsmss17FloatRecommendedSocial Status. Total ScoreAdd total education score and total occupation score
version_formString100RecommendedForm used/assessment name
ssfhliv00String255RecommendedWho child lives with1= Mother; 2= Father; 3= Grandparent; 4= Otherprimary_residence
bio_mother_occupationString100RecommendedBiological Mother Occupationses_detail_occ_mother
bio_father_occupationString100RecommendedBiological Father Occupationses_detail_occ_father
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: bsmss01 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.