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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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Economic Hardship Questionnaire

ehs

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldadate
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender, sex
ehs_1IntegerRecommended1. Cut back on social activities and entertainment expenses0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_2IntegerRecommended2. Postpone a major household purchase0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_3IntegerRecommended3. Postpone a necessary clothing purchase0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_4IntegerRecommended4. Change transportation patterns to save money0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_5IntegerRecommended5. Change food shopping or eating habits to save money0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_6IntegerRecommended6. Cut back on charitable contributions (e.g. church)0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_7IntegerRecommended7. Reduce household utility use0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_8IntegerRecommended8. Sell some possessions0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened
ehs_9IntegerRecommended9. I couldn't buy something important because we didn't have enough money0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened; RESPONSES TO STRESS - [FP] (SR-P)
ehs_10IntegerRecommended10. Things in our home did not work the way they should (no electricity, no water)0::41=Never Happened, 2=Sometimes Happened, 3=Often Happened, 4=Very Often Happened; RESPONSES TO STRESS - [FP] (SR-P)
ehs2_1IntegerRecommendedI (or my partner/spouse) lost a job0;10=No; 1=Yesfinstrn_1
ehs2_2IntegerRecommendedI (or my partner/spouse) couldn't find work0;10=No; 1=Yesfinstrn_2
ehs2_3IntegerRecommendedWe had to postpone medical care to save money0;10=No; 1=Yesfinstrn_3
ehs2_4IntegerRecommendedWe could not pay all our bills0;10=No; 1=Yesfinstrn_4
ehs2_5IntegerRecommendedWe had to stay in a homeless shelter or public place0;10=No; 1=Yesfinstrn_5
ehs2_6IntegerRecommendedWe had to apply for TANF or other federal assistance to make ends meet0;10=No; 1=Yesfinstrn_6
ehs2_7IntegerRecommendedTake additional employment to help meet expenses0;10=No; 1=Yesfinstrn_7
ehs_totalFloatRecommendedEHS total scoreeconhs2(ecns1,ecns2,ecns3,ecns4,ecns5,ecns6,ecns7,ecns8,ecns9,ecns10,ecns11).
ehs_meanFloatRecommendedEHS mean scoreeconhm2=MEAN(ecns1,ecns2,ecns3,ecns4,ecns5,ecns6,ecns7,ecns8,ecns9,ecns10,ecns11).
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.

Distribution for DataStructure: ehs01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.