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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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Gait Speed Test

47 Shared Subjects

N/A
Clinical Assessments
Task Based
12/12/2016
gst01
07/03/2019
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 M = Male; F = Female gender
Query gst1 Integer Recommended Does the participant use an assistive device for walking 0;1 0=No;1=Yes
Query gst2 Integer Recommended Assistive device for walking 1::7 1=Wheelchair; 2=Walker; 3=Quad/Tripod cane; 4=Crutches; 5=Standard cane; 6=White cane (has red band at the bottom, used by visually impaired persons); 7= Other walkingdevice
gst3 String 25 Recommended Assistive device for walking. Other specify walkingdevicespecify
Query gst4 Float Recommended Single task. Trial 1, seconds to walk 15 feet singletask1
Query gst5 Float Recommended Single task. Trial 2, seconds to walk 15 feet singletask2
Query gst6 Float Recommended Single task. Average walk speed, m/sec singletaskavg
Query gst7 Float Recommended Dual task. FLUENCY (verbally listing as many animals as possible) Trial 1, seconds to walk 15 feet dualtaskflu1
Query gst8 Float Recommended Dual task. Fluency. Trial 2, seconds to walk 15 feet dualtaskflu2
Query gst9 Float Recommended Dual task. Fluency. Average walk speed, m/sec dualtaskfluavg
Query gst10 Float Recommended Dual task. COUNTING (performing serial abstractions by 3s starting at 100) Trial 1, seconds to walk 15 feet dualtaskcount1
Query gst11 Float Recommended Dual task. Counting. Trial 2, seconds to walk 15 feet dualtaskcount2
Query gst12 Float Recommended Dual task. Counting. Average walk speed, m/sec dualtaskcountavg
comments String 4,000 Recommended Comments about assessment
Query gt_speed Float Recommended Average gait speed across all ST and DT trials gaittotal
gstfastavg Float Recommended Dual task. Fast walk. Average walk speed, m/sec, of two trials.
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.