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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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Data Structures with shared data
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Civic Engagement

37 Shared Subjects

N/A
Clinical Assessments
Social Responsiveness
01/23/2018
civeng01
02/13/2018
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 id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field adate
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. age
sex String 20 Required Sex of the subject M;F M = Male; F = Female gender, sex
Query ce_1 Integer Recommended I can be involved to change my community. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_2 Integer Recommended I can make my community a better place by helping others in need. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_3 Integer Recommended There are things I can do to make the world a better place 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_4 Integer Recommended How many adults..help solve problems in neighborhood? 0::4 0=None, 1=One, 2=Two, 3=Three, 4=Four or more
Query ce_5 Integer Recommended How many adults..help solve problems at school? 0::4 0=None, 1=One, 2=Two, 3=Three, 4=Four or more
Query ce_6 Integer Recommended How many adults..help solve problems in city or town? 0::4 0=None, 1=One, 2=Two, 3=Three, 4=Four or more
Query ce_7 Integer Recommended I know what things are needed to do a community project. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_8 Integer Recommended Adults can help me do a community project. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_9 Integer Recommended Working with others on a community project makes the project better. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_10 Integer Recommended I can find things in my community to help make my community better. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_11 Integer Recommended I actively participate in my neighborhood's activities 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_12 Integer Recommended I do volunteer activities to help my neighborhood. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_13 Integer Recommended I encourage others to do things to help improve my neighborhood. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_14 Integer Recommended I try to help people in my neighborhood when they are in need. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_15 Integer Recommended I actively participate in my school's activities 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_16 Integer Recommended I do volunteer activities to help my neighborhood. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_17 Integer Recommended I encourage others to do thing sto help improve my school. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ce_18 Integer Recommended I try to help people in my school when they are in need. 1::5 1=Strongly disagree; 2=Disagree ; 3=Neither agree or disagree; 4=Agree; 5=Strongly agree
Query ceciveff Float Recommended Civic Efficacy Subscale Mean Score
Query ceadultres Float Recommended Adult Resources Subscale Mean Score
Query ceresmob Float Recommended Resource Mobilization Subscale Mean Score
Query cecommeng Float Recommended Community Engagement Subscale Mean Score
Query ceschooeng Float Recommended School Engagement Subscale Mean Score
Query cetotalmean Float Recommended Whole Scale Mean Score
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.