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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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Mini IPIP

212 Shared Subjects

a 20-item short form of the 50-item International Personality Item Pool—Five-Factor Model measure
Clinical Assessments
Personality
02/24/2017
miniipip01
02/24/2017
View Change History
01
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 gender
Query mini_ipip_1 Integer Recommended Am the life of the party 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_2 Integer Recommended Sympathize with others' feelings 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_3 Integer Recommended Get chores done right away 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_4 Integer Recommended Have frequent mood swings 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_5 Integer Recommended Have a vivid imagination 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_6 Integer Recommended Don't talk a lot 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_7 Integer Recommended Am not interested in other people's problems 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_8 Integer Recommended Often forget to put things back in their proper place 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_9 Integer Recommended Am relaxed most of the time 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_10 Integer Recommended Am not interested in abstract ideas 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_11 Integer Recommended Talk to a lot of different people at parties 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_12 Integer Recommended Feel others' emotions 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_13 Integer Recommended Like order 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_14 Integer Recommended Get upset easily 1::5; 9999 1= Very Inaccurate; 2= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 4= Moderately Accurate; 5= Very Accurate; 9999= no data
Query mini_ipip_15 Integer Recommended Have difficulty understanding abstract ideas 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_16 Integer Recommended Keep in the background 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_17 Integer Recommended Am not really interested in others 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_18 Integer Recommended Make a mess of things 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_19 Integer Recommended Seldom feel blue 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ipip_20 Integer Recommended Do not have a good imagination 1::5; 9999 5= Very Inaccurate; 4= Moderately Inaccurate; 3= Neither Inaccurate or Accurate; 2= Moderately Accurate; 1= Very Accurate; 9999= no data
Query mini_ext Integer Recommended Factor 1. Extraversion
Query mini_agr Integer Recommended Factor 2. Agreeableness
Query mini_con Integer Recommended Factor 3. Conscientiousness
Query mini_neu Integer Recommended Factor 4. Neuroticism
Query mini_int Integer Recommended Factor 5. Intellect/Imagination
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.