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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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Free Operant Outcome Devaluation Task

33 Shared Subjects

N/A
Clinical Assessments
Food
12/08/2017
food01
12/03/2018
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 record_id
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 phenotype_description String 4,000 Recommended Description of the phenotype for the subject population
Query edutot Float Recommended Total years of education education
Query satdesirechange Integer Recommended Pre- to post-satiation change in subjective desirability of satiated reward: (Target Desire3 - Target Desire2)
Query neutdesirechange Integer Recommended Pre- to post-satiation change in subjective desirability of non-satiated reward: (Neutral Desire3 - Neutral Desire2)
Query hungerchange Integer Recommended Pre- to post-satiation change in hunger: (Hunger3 - Hunger2)
Query fullnesschange Integer Recommended Pre- to post-satiation change in fullness: (Fullness3 - Fullness2)
Query calories_consumed_in_satiation Float Recommended Calories consumed during satiation phase 150::1000
Query pre_responses__satiated Integer Recommended Number of button-presses for the satiated reward during Pre-satiation
Query post_response__satiated Integer Recommended Number of button-presses for the satiated reward during Post-satiation
Query pre_responses__neutral Integer Recommended Number of button-presses for the non-satiated reward during Pre-satiation
Query post_responses__neutral Integer Recommended Number of button-presses for the non-satiated reward during Post-satiation
Query target_desire1 Integer Recommended Subjective desirability of satiated reward before Training phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query target_desire2 Integer Recommended Subjective desirability of satiated reward before Pre-satiation phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query target_desire3 Integer Recommended Subjective desirability of satiated reward after Satiation phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query target_desire4 Integer Recommended Subjective desirability of satiated reward after Post-satiation phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query neutral_desire1 Integer Recommended Subjective desirability of non-satiated reward before Training phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query neutral_desire2 Integer Recommended Subjective desirability of non-satiated reward before Pre-satiation phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query neutral_desire3 Integer Recommended Subjective desirability of non-satiated reward after Satiation phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query neutral_desire4 Integer Recommended Subjective desirability of non-satiated reward after Post-satiation phase 0::10 0 = Not at all; 5 = Moderately; 10 = Very much
Query hunger1 Integer Recommended Subjective hunger before Training phase 0::10 0 = Not at all hungry; 5 = Moderately hungry; 10 = Extremely hungry
Query hunger2 Integer Recommended Subjective hunger before Pre-satiation phase 0::10 0 = Not at all hungry; 5 = Moderately hungry; 10 = Extremely hungry
Query hunger3 Integer Recommended Subjective hunger after Satiation phase 0::10 0 = Not at all hungry; 5 = Moderately hungry; 10 = Extremely hungry
Query hunger4 Integer Recommended Subjective hunger after Post-satiation phase 0::10 0 = Not at all hungry; 5 = Moderately hungry; 10 = Extremely hungry
Query fullness1 Integer Recommended Subjective fullness before Training phase 0::10 0 = Not at all full; 5 = Moderately full; 10 = Extremely full
Query fullness2 Integer Recommended Subjective fullness before Pre-satiation phase 0::10 0 = Not at all full; 5 = Moderately full; 10 = Extremely full
Query fullness3 Integer Recommended Subjective fullness after Satiation phase 0::10 0 = Not at all full; 5 = Moderately full; 10 = Extremely full
Query fullness4 Integer Recommended Subjective fullness after Post-satiation phase 0::10 0 = Not at all full; 5 = Moderately full; 10 = Extremely full
Query bmi Float Recommended body mass index of subject
Query eat_26 Integer Recommended Eating Attitudes Test score
Query total_training_trials Integer Recommended Total trials needed to reach criterion (10 of both rewards obtained) during the Training phase
Query total_calories Float Recommended Total calories consumed during the entire task
Query satdevalscore Integer Recommended Devaluation score for the satiated reward: (Pre-Responses__Satiated minus Post-Responses__Satiated)
Query nonsatdevalscore Integer Recommended Devaluation score for the non-satiated reward: (Pre-Responses__Neutral minus Post-Responses__Neutral)
Query trainq1only Integer Recommended Number of both rewards obtained during the first quarter of the Training phase
Query trainq2only Integer Recommended Number of both rewards obtained during the second quarter of the Training phase
Query trainq3only Integer Recommended Number of both rewards obtained during the third quarter of the Training phase
Query trainq4only Integer Recommended Number of both rewards obtained during the fourth quarter of the Training phase
fspgod String 35 Recommended Subject's gender OTHER describe
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.