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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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MACH15 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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
baseline_b_011IntegerRecommendedDo you live alone?0;1; -888; -9990=No; 1=Yes; -888=Not Applicable; -999=Missing;livealone
livespouIntegerRecommendedLiving Arrangement: Spouse/Partner0;10= Unchecked, 1= Checked
livechildIntegerRecommendedLiving Arrangement: Child0;10= Unchecked, 1= Checked
livefrndIntegerRecommendedLiving Arrangement: Friend0;10= Unchecked, 1= Checked
liveothrelIntegerRecommendedLiving Arrangement: Other relative0;10= Unchecked, 1= Checked
liveempIntegerRecommendedLiving Arrangement: Paid employee0;10= Unchecked, 1= Checked
living_notesString255RecommendedLiving arrangements (specify)liveoth
liverefsdIntegerRecommendedRefused Living Arrangement0= Unchecked, 1= Checked
maritalstsIntegerRecommendedMartial Status1::71= Married/Partnered; 2= Separated; 3= Divorced; 4= Widowed; 5= Never Married; 6= Other (Specify); 7= Refused
marital_status_specifyString255RecommendedOther marital status - Please describe:marstsoth
hlpshppngIntegerRecommendedDo you need help with: Shopping0;10= Unchecked, 1= Checked
hlpcookngIntegerRecommendedDo you need help with: Cooking or preparing meals0;10= Unchecked, 1= Checked
hlpmedsIntegerRecommendedDo you need help with: Managing Medications0;10= Unchecked, 1= Checked
hlptransIntegerRecommendedDo you need help with: Driving or arranging transportation0;10= Unchecked, 1= Checked
hlp_phoneIntegerRecommendedDo you need help with: Using a telephone0;10= Unchecked, 1= Checked
hlpworkIntegerRecommendedDo you need help with: Housework/Yardwork0;10= Unchecked, 1= Checked
hlpfincsIntegerRecommendedDo you need help with: Managing Finances0;10= Unchecked, 1= Checked
everwrkedIntegerRecommendedHow many years of education have you completed?1::91= Did not go to school; 2= Some Grade school (1-5 years); 3= Middle school (6-8 years); 4= Some high school (9-11 years); 5= High school diploma (12 years); 6= Associate Degree (14 years); 7= Bachelor's degree (16 years); 8= Master's degree (18 years); 9= Doctoral degree (JD, PhD, MD) (20 years)
wrktypeIntegerRecommendedWhat kind of work have you done most of your life? (What was your job called?)1::181 = Administrator/manager; 2= Arts/design/sports/entertainment; 3= Business and finance/small business owner; 4= Clerical (secretary, clerk, mail carrier); 5= Information technology; 6= Education (teacher, professor, librarian); 7= Engineer/architecture; 8= Equipment or vehicle operator (driver, railroad brakeman); 9= Farmer/fishery/forestry; 10= Health care professional (physician, nurse, physical therapist); 11= Hospitality industry (restaurant, hotel); 12= Laborer; 13= Legal (lawyer, paralegal); 14= Member of military; 15= Personal care/service (hairdresser, barber, massage therapist); 16= Protective service (police, firefighter, paramedic); 17= Sales occupations (salesperson, demonstrator, agent, broker); 18= Skill trades (electrician, plumber, carpenter)
eo4IntegerRecommendedAre you currently working at a job or business for pay0;1;90=No; 1=Yes; 9 = Missingworkvolun
lnghrsIntegerRecommendedHow many hours per week did the client work at that jobwrkhrswk
smokeIntegerRecommendedHave you smoked at least 100 cigarettes (5 packs) in entire life0;10=No; 1=Yescigs100
smkageIntegerRecommendedHow old when first started smoking cigarettes fairly regularlysmokage
cigarette_30day_smokingIntegerRecommendedNow think about the past 30 days, including today. During the past 30 days, have you smoked part or all of a cigarette? PX030801_30Day_Cigarette_Smoking1;2;991=Yes; 2=No; 99=DK/refusedcigs30days
lscigsperdayIntegerRecommendedOn average, during the last 30 days, about how many cigarettes a day do you smoke?
quitageIntegerRecommendedHow old were you when you quit smoking cigarettes?
evryday_smoker_qty_1dayIntegerRecommendedProtocol A is used with adults who are Every-Day Smokers. On the average, about how many cigarettes do you now smoke each day? PX030802_Everyday_Smoker_Quantity_1Day1::99fcigsperday
secondhndIntegerRecommendedDuring the past year, about how many hours per week were you in close contact with people when they were smoking (e.g, in your home, in a car, at work or other close quarters)? Round up to the nearest hour.
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: machdem01 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.