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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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Food Appetizing Ratings

138 Shared Subjects

N/A
Clinical Assessments
Food
04/16/2018
far01
04/16/2018
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
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
visit String 50 Recommended Visit name assessment
Query binge1 Integer Recommended How appetizing is this food? (Binge Food 1) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge2 Integer Recommended How appetizing is this food? (Binge Food 2) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge3 Integer Recommended How appetizing is this food? (Binge Food 3) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge4 Integer Recommended How appetizing is this food? (Binge Food 4) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge5 Integer Recommended How appetizing is this food? (Binge Food 5) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge6 Integer Recommended How appetizing is this food? (Binge Food 6) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge7 Integer Recommended How appetizing is this food? (Binge Food 7) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge8 Integer Recommended How appetizing is this food? (Binge Food 8) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge9 Integer Recommended How appetizing is this food? (Binge Food 9) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge10 Integer Recommended How appetizing is this food? (Binge Food 10) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge11 Integer Recommended How appetizing is this food? (Binge Food 11) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge12 Integer Recommended How appetizing is this food? (Binge Food 12) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge13 Integer Recommended How appetizing is this food? (Binge Food 13) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge14 Integer Recommended How appetizing is this food? (Binge Food 14) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge15 Integer Recommended How appetizing is this food? (Binge Food 15) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge16 Integer Recommended How appetizing is this food? (Binge Food 16) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge17 Integer Recommended How appetizing is this food? (Binge Food 17) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge18 Integer Recommended How appetizing is this food? (Binge Food 18) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge19 Integer Recommended How appetizing is this food? (Binge Food 19) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge20 Integer Recommended How appetizing is this food? (Binge Food 20) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge21 Integer Recommended How appetizing is this food? (Binge Food 21) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge22 Integer Recommended How appetizing is this food? (Binge Food 22) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge23 Integer Recommended How appetizing is this food? (Binge Food 23) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge24 Integer Recommended How appetizing is this food? (Binge Food 24) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge25 Integer Recommended How appetizing is this food? (Binge Food 25) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy1 Integer Recommended How appetizing is this food? (Healthy 1) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy2 Integer Recommended How appetizing is this food? (Healthy 2) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy3 Integer Recommended How appetizing is this food? (Healthy 3) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy4 Integer Recommended How appetizing is this food? (Healthy 4) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy5 Integer Recommended How appetizing is this food? (Healthy 5) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy6 Integer Recommended How appetizing is this food? (Healthy 6) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy7 Integer Recommended How appetizing is this food? (Healthy 7) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy8 Integer Recommended How appetizing is this food? (Healthy 8) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy9 Integer Recommended How appetizing is this food? (Healthy 9) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy10 Integer Recommended How appetizing is this food? (Healthy 10) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy11 Integer Recommended How appetizing is this food? (Healthy 11) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy12 Integer Recommended How appetizing is this food? (Healthy 12) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy13 Integer Recommended How appetizing is this food? (Healthy 13) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy14 Integer Recommended How appetizing is this food? (Healthy 14) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy15 Integer Recommended How appetizing is this food? (Healthy 15) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy16 Integer Recommended How appetizing is this food? (Healthy 16) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy17 Integer Recommended How appetizing is this food? (Healthy 17) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy18 Integer Recommended How appetizing is this food? (Healthy 18) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy19 Integer Recommended How appetizing is this food? (Healthy 19) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy20 Integer Recommended How appetizing is this food? (Healthy 20) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy21 Integer Recommended How appetizing is this food? (Healthy 21) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy22 Integer Recommended How appetizing is this food? (Healthy 22) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy23 Integer Recommended How appetizing is this food? (Healthy 23) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy24 Integer Recommended How appetizing is this food? (Healthy 24) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy25 Integer Recommended How appetizing is this food? (Healthy 25) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query binge_appet Float Recommended How appetizing is this food? (Binge Food Mean) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
Query healthy_appet Float Recommended How appetizing is this food? (Healthy Mean) 1::9; 999 1 = not at all appetizing; 9 = extremely appetizing; 999 = missing
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.