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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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Age Differentiation Test

adt36

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/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldinterviewyear
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.adi_age
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
adt36_a_crIntegerRecommendedTotal Correct Responses0::36
adt36_a_rtcrFloatRecommendedResponse Time for Correct Responses (ms)
adt36_a_erIntegerRecommendedTotal Incorrect Responses0::36
adt36_a_rterFloatRecommendedResponse Time for Incorrect Responses (ms)
adt36_a_female_crIntegerRecommendedCorrect Responses for Females Trials0::19
adt36_a_female_rtcrFloatRecommendedResponse Time for Correct Females Trials (ms)
adt36_a_pct10_crIntegerRecommendedCorrect Responses for Age Differentiation Test 10 Percent0::6
adt36_a_pct20_crIntegerRecommendedCorrect Responses for Age Differentiation Test 20 Percent0::8
adt36_a_pct30_crIntegerRecommendedCorrect Responses for Age Differentiation Test 30 Percent0::6
adt36_a_pct40_crIntegerRecommendedCorrect Responses for Age Differentiation Test 40 Percent0::7
adt36_a_pct50_crIntegerRecommendedCorrect Responses for Age Differentiation Test 50 Percent0::2
adt36_a_pct60_crIntegerRecommendedCorrect Responses for Age Differentiation Test 60 Percent0::3
adt36_a_same_crIntegerRecommendedCorrect Responses for Same Trials0::4
adt36_a_pct10_rtcrFloatRecommendedResponse Time for Correct Age Differentiation Test 10 Percent Difference Trials (ms)
adt36_a_pct20_rtcrFloatRecommendedResponse Time for Correct Age Differentiation Test 20 Percent Difference Trials (ms)
adt36_a_pct30_rtcrFloatRecommendedResponse Time for Correct Age Differentiation Test 30 Percent Difference Trials (ms)
adt36_a_pct40_rtcrFloatRecommendedResponse Time for Correct Age Differentiation Test 40 Percent Difference Trials (ms)
adt36_a_pct50_rtcrFloatRecommendedResponse Time for Correct Age Differentiation Test 50 Percent Difference Trials (ms)
adt36_a_pct60_rtcrFloatRecommendedResponse Time for Correct Age Differentiation Test 60 Percent Difference Trials (ms)
adt36_a_same_rtcrFloatRecommendedResponse Time for Correct Same Trials (ms)
adt36_a_ca_crIntegerRecommendedCorrect Responses for Caucasian Trials0::17
adt36_a_ca_erIntegerRecommendedIncorrect Responses for Caucasian Trials0::17
adt36_a_ca_rtcrFloatRecommendedResponse Time for Correct Caucasian Trials (ms)
adt36_a_ca_rterFloatRecommendedResponse Time for Incorrect Caucasian Trials (ms)
adt36_a_nonca_crIntegerRecommendedCorrect Responses for Non-Caucasian Trials0::19
adt36_a_nonca_erIntegerRecommendedIncorrect Responses for Non-Caucasian Trials0::19
adt36_a_nonca_rtcrFloatRecommendedResponse Time for Correct Non-Caucasian Trials (ms)
adt36_a_nonca_rterFloatRecommendedResponse Time for Incorrect Non-Caucasian Trials (ms)
adt36_a_ns_crFloatRecommendedCorrect Responses for Non-Same Trials
adt36_a_ns_rtcrFloatRecommendedResponse Time for Correct Non-Same Trials (ms)
adt36_a_cnt_200IntegerRecommendedTotal Count Under 200 (ms)0::36
adt36_a_lrsrIntegerRecommendedLongest Run of Same Responses0::36
adt36_a_male_crIntegerRecommendedCorrect Responses for Males Trials
adt36_a_male_rtcrFloatRecommendedResponse Time for Correct Males Trials (ms)
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: adt3601 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.