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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.  

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Data Structures with shared data
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Dietary Questionnaire

10 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 record_id, stepid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field v10_bdq_date, v2_bdq_date, v3_bdq_date, v4_bdq_date, v5_bdq_date, v6_bdq_date, v7_bdq_date, v8_bdq_date, v9_bdq_date
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. v10_bdq_age, v2_bdq_age, v3_bdq_age, v4_bdq_age, v5_bdq_age, v6_bdq_age, v7_bdq_age, v8_bdq_age, v9_bdq_age
sex String 20 Required Sex of the subject M;F M = Male; F = Female gender
Query daysrz Integer Recommended days since randomization
Query visit String 50 Recommended Visit name o3visit
Query eggyolks Integer Recommended consumption egg yolks over past 4 weeks 0;1 0=Never or less than 5 per week; 1=5 or more per week
Query poultry Integer Recommended poultry consumption over past 4 weeks 0::2 0=0-4 per week; 1=5-9 per week; 2=10 or more per week
Query shelfish Integer Recommended shellfish consumption over past 4 weeks 0::2 0=0-3 per month; 1=1-2 per week; 2=3 or more per week
Query othfish Integer Recommended other fish consump over past 4 weeks 0::3 0=Never or less than 1 per month; 1=1-3 per month; 2=1-2 per week; 3=3 or more per week
Query livers Integer Recommended liver consumption over past 4 weeks 0::3 0=Never or less than 1 per month; 1=1-3 per month; 2=1-2 per week; 3=3 or more per week
Query site String 101 Recommended Site Study Site site_id, siteid
Query diet_participant_attendance Integer Recommended Participant show up for appointment? 0;1 0=Yes; 1=No
Query diet_diary_complete Integer Recommended Diary complete? 0;1 0=Yes; 1=No
Query diet_food_pickup Integer Recommended Food pick up? 0;1 0=Yes; 1=No
ae String 250 Recommended Adverse event Description adverse_events
Query diet_compliance Integer Recommended Diet Compliance 1::5 1=Excellent; 5=Poor
Query meat Integer Recommended Eat red meat 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_1meat, v2_bdq_1meat, v3_bdq_1meat, v4_bdq_1meat, v5_bdq_1meat, v6_bdq_1meat, v7_bdq_1meat, v8_bdq_1meat, v9_bdq_1meat
Query sweetbeverage Integer Recommended Drink sweetened beverages 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_2sweetbeverage, v2_bdq_2sweetbeverage, v3_bdq_2sweetbeverage, v4_bdq_2sweetbeverage, v5_bdq_2sweetbeverage, v6_bdq_2sweetbeverage, v7_bdq_2sweetbeverage, v8_bdq_2sweetbeverage, v9_bdq_2sweetbeverage
Query refinedsugar Integer Recommended Eat refined sugar 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_3refinedsugar, v2_bdq_3refinedsugar, v3_bdq_3refinedsugar, v4_bdq_3refinedsugar, v5_bdq_3refinedsugar, v6_bdq_3refinedsugar, v7_bdq_3refinedsugar, v8_bdq_3refinedsugar, v9_bdq_3refinedsugar
Query fruitveggie Integer Recommended Eat fruits and vegetables 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_4fruitveggie, v2_bdq_4fruitveggie, v3_bdq_4fruitveggie, v4_bdq_4fruitveggie, v5_bdq_4fruitveggie, v6_bdq_4fruitveggie, v7_bdq_4fruitveggie, v8_bdq_4fruitveggie, v9_bdq_4fruitveggie
Query multivitamin Integer Recommended Take multivitamins 0::3 0= never; 1= rarely; 2= sometimes; 3= always v10_bdq_5multivitamin, v2_bdq_5multivitamin, v3_bdq_5multivitamin, v4_bdq_5multivitamin, v5_bdq_5multivitamin, v6_bdq_5multivitamin, v7_bdq_5multivitamin, v8_bdq_5multivitamin, v9_bdq_5multivitamin
medication_name String 255 Recommended Name of medication
medication2_name String 200 Recommended Name second medication that the participant has taken 0 = No medication; 999= Legitimately skipped
medication3_name String 150 Recommended Name third medication that the participant has taken 0 = No medication; 999= Legitimately skipped
medication4_name String 100 Recommended Name fourth medication that the participant has taken 0 = No medication; 999= Legitimately skipped
medication_5_name String 50 Recommended specify med 5
medication_6_name String 50 Recommended specify med 6
medication_7_name String 50 Recommended specify med 7
medication_8_name String 50 Recommended specify med 8
Query saliva_foods Integer Recommended What foods and drinks did you have after 7pm the night prior or the day of providing the samples? 1::8 1= No Problematic Foods; 2= Foods containing caffeine or xanthenes; 3= Alcohol; 4= Dairy Products; 5= 2and3; 6= 2and4; 7= 3and4; 8= 2and3and4
saliva_bedtime String 5 Recommended What time did you go to bed the night prior to providing the samples and what time did you get up this morning? Bedtime: 24 hr clock hh:mm
saliva_wakeup String 5 Recommended What time did you go to bed the night prior to providing the samples and what time did you get up this morning? Wake-Up: 24 hr clock hh:mm
Query saliva_smk Integer Recommended Did you smoke prior to sample? 0;1 0=No; 1=Yes
Query saliva_exrcs Integer Recommended Any aerobic or weight exercises prior to sample? 0;1 0=No; 1=Yes
saliva1_time String 5 Recommended Time sample 1 was taken 24 hr clock hh:mm
saliva2_time String 5 Recommended Time sample 2 was taken 24 hr clock hh:mm
Query saliva_prescr Integer Recommended How many different prescriptions for aniphsychotics, antidepressants or stimulants were taken in the 24 hours prior to providing any samples? Please specify 0::5 5= Greater than 4
version_form String 100 Recommended Form used/assessment name
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.