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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 Form Trauma Study

220 Shared Subjects

Clinical Assessments
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Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported demo_1, gender
Query demo_2 Integer Recommended Did you lose consciousness when you were injured? 1::3; 9999 1= Yes; 2= No; 3= Unclear; 9999= no data
Query demo_3 String 15 Recommended How long were you unconscious?
Query chartreview016b Integer Recommended Does the Patient have insurance? 0;1;9; -888; -999 0=No; 1=Yes; 9=Not documented; -888=Not Applicable; -999=Missing; demo_4
demo_5 String 15 Recommended Injuries 1= Head (Brain); 2= Face; 3= Neck; 4= Spine; 6= Chest; 7= Abdomen; 8= Pelvis; 9= Upper Extremities; 10= Lower extremities; 9999= no data
Query demo_6 Integer Recommended Are you currently employed or in school? 0;1; 9999 1= Yes; 0= No; 9999= no data
Query demo_7 String 15 Recommended If you are currently employed and/or in school, please choose all that apply 1= Employed Full Time; 2= Employed Part Time; 3= Full Time Student; 4= Part Time Student; 9999= no data
Query demo_8 Integer Recommended What is the best estimate of the total income of ALL family members from all sources, before taxes, in the last calendar year? (Please choose) 1::11; 9999 1= $0 - $10,000; 2= $10,000 - $20,0000; 3= $20,000 - $30,000; 4= $30,000 - $40,000; 5= $40,000 - $50,000; 6= $50,000 - $60,000; 7= $60,000 - $70,000; 8= $70,000 - $80,000; 9= $80,000 - $90,000; 10= $90,000 - $100, 000; 11= Greater than $100,000; 9999= no data
Query demo_9 Integer Recommended Do you have a family history of a formal psychiatric diagnosis or treatment (i.e., anxiety, depression, other?)? 0;1; 9999 1= Yes; 0= No; 9999= no data
Query diagnosis_psycom String 50 Recommended Psychiatric comorbid diagnoses demo_10
Query demo_11 Integer Recommended Psychiatric diagnosis, type of treatment: 0::2; 9999 0= No Treatment; 1= Medication; 2= Psychotherapy; 9999= no data
Query demo_12 String 50 Recommended If prescribed medications for your psychiatric illness, please list type and dose (if you know):
Query demo_13 Integer Recommended Do you have a CURRENT diagnosis of chronic pain? 0; 1; 9999 0= No; 1= Yes; 9999= no data
Query demo_14 Integer Recommended Do you have a PREVIOUS diagnosis fro chronic pain? 0; 1; 9999 0= No; 1= Yes; 9999= no data
Query diagnoses_1 String 4,000 Recommended List all diagnosis here demo_15
Query demo_16 Integer Recommended Marital status 0; 1; 9999 0= No Committed Relationship; 1= Committed Relationship; 9999= no data
Query sldif Integer Recommended Sleep: Difficulty sleeping 0;1 0=No; 1=Yes demo_17
Query demo_18 Integer Recommended Sleeping difficulty: 1::3; 9999 1= Falling asleep; 2= Staying asleep; 3= Both; 9999= no data
Query demo_19 Integer Recommended Do you have a sleep disorder diagnosis? 0; 1; 9999 0= No; 1= Yes; 9999= no data
Query demo_20 String 50 Recommended Sleep disorder diagnosis
Query demo_21 Integer Recommended Rate your sleep quality in the last 24 hours: 1::4; 9999 1= Poor; 2= Fair; 3= Good; 4= Excellent; 9999= no data
Query demo_22 String 15 Recommended How many hours of sleep have you gotten in the last 24 hours?
Query date_menst_psychhx String 30 Recommended First date of the last menstrual cycle (females only) demo_23
Query pre004 Integer Recommended Pregnancy Test Result 1;2;9;-9 1=Positive; 2=Negative; 9=Equivocal; -9=Unknown demo_24
Query curr_edu_attain Integer Recommended What is the highest grade or level of school you have completed or the highest degree you have received? PX011001_Current_Educational_Attainment 0::21;77;99 0=Never Attended/Kindergarten only; 1=1st Grade; 2=2nd Grade; 3=3rd Grade; 4=4th Grade; 5=5th Grade; 6=6th Grade; 7=7th Grade; 8=8th Grade; 9=9th Grade; 10=10th Grade; 11=11th Grade; 12=12th Grade; 13=High School Graduate; 14=GED or Equivalent; 15=Some College, no degree; 16=Associate Degree: occupational, technical, or vocational; 17=Associate degree: Academic program; 18=Bachelor's degree (Example: BA,AB,BS,BBA); 19=Master's Degree (Example: MA,MS,MEng,MEd, MBA); 20=Professional School Degree (Example: MD,DDS,DVM,JD); 21=Doctoral Degree (Example: PhD, EdD); 77=Refused; 99=Don;t Know demo_25
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.