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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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Data Structures with shared data
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History of Neglect/Abuse

762 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* guid
src_subject_id String 20 Required Subject ID how it's defined in lab/project abc_comm_src_subject_id, randid, subject_id
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 M = Male; F = Female gender
Query week Float Recommended Week in level/study 99=week 10-week 14
Query vis_type Integer Recommended Visit type 0::2 1=Phone; 0=doctor's office; 2=No, not phone interview phone
Query days_baseline Integer Recommended Days since baseline date
Query neg Integer Recommended Emotionally and physically neglected before age 18 0;1 0=No; 1=Yes
Query neg_age Float Recommended Emotionally and physically neglected. Age when happened in years; if yes
Query eabu Integer Recommended Emotionally abused before age 18 0;1 0=No; 1=Yes
Query eabu_age Float Recommended Emotionally abused. Age when happened in years; if yes
Query pabu Integer Recommended Physically abused before age 18 0;1 0=No; 1=Yes abuse_3
Query pabu_age Float Recommended Physically abused. Age when happened in years; if yes
Query sabu Integer Recommended Sexually abused before age 18 0;1 0=No; 1=Yes
Query sabu_age Float Recommended Sexually abused. Age when happened in years; if yes
Query abuse_1 Integer Recommended Someone has sexual intercourse with you when you did not want to by threatening you or using some degree of force? 0;1 0 = No; 1 = Yes
abuse_1a String 100 Recommended At what age (did it happen the first time)? usually age in years with some details
Query abuse_2 Integer Recommended Someone touched you sexually when you did not want that? 0;1 0 = No; 1 = Yes
abuse_2a String 100 Recommended At what age (did it happen the first time)? usually age in years with some details
Query abuse_4 Integer Recommended Were you seriously neglected as a child? 0;1 0 = No; 1 = Yes
abuse_4a String 100 Recommended At what age (did it happen the first time)? usually age in years with some details
Query abuse_5 Integer Recommended Were you emotionally or verbally abused as a child? 0;1 0 = No; 1 = Yes
abuse_5a String 100 Recommended At what age (did it happen the first time)? usually age in years with some details
Query abuse_6 Integer Recommended Have you ever been physically attacked or assaulted? 0;1 0 = No; 1 = Yes
abuse_6a String 100 Recommended At what age (did it happen the first time)? usually age in years with some details
abuse_3a String 100 Recommended At what age (did it happen the first time)? usually age in years with some details
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.