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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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Anxiety Depression and Mood Scale

adm

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*guid
src_subject_idString20RequiredSubject ID how it's defined in lab/projectsubject_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldintvdate
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.intvage
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
siteString101RecommendedSiteStudy Site
visitString50RecommendedVisit name
adi001IntegerRecommendedDoes not relax or settle down0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm003
adi002IntegerRecommendedHas periods of over-activity0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm004
adi003IntegerRecommendedHas difficulty staying on task or completing work0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm012
adi004IntegerRecommendedEasily distracted0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm017
adi005IntegerRecommendedHas difficulty starting routine tasks0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm022
adi006IntegerRecommendedSleeps more than normal0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm005
adi007IntegerRecommendedSad0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm010
adi008IntegerRecommendedEasily fatigued (not due to being overweight)0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm014
adi009IntegerRecommendedTearful0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm028
adi010IntegerRecommendedLacks energy0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm018
adi011IntegerRecommendedListless0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm023
adi012IntegerRecommendedProblems initiating communication0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm002
adi013IntegerRecommendedWithdraws from other people0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm006
adi014IntegerRecommendedShy0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm013
adi015IntegerRecommendedAvoids others, spends much time alone0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm019
adi016IntegerRecommendedLacks emotional facial expression0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm021
adi017IntegerRecommendedAvoids eye contact0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm025
adi018IntegerRecommendedAvoids peers0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm027
adi019IntegerRecommendedNervous0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm001
adi021IntegerRecommendedTense0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm007
adi022IntegerRecommendedWorried0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm011
adi023IntegerRecommendedAnxious0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm015
adi024IntegerRecommendedHas panic attacks0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm024
adi025IntegerRecommendedTrembles when frightening situations are not present0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm026
adi026IntegerRecommendedEngages in ritualistic behaviors0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm008
adi027IntegerRecommendedRepeatedly checks items0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm016
adi028IntegerRecommendedEasily upset if ritualistic behaviors are interrupted0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknownadm020
adm009IntegerRecommendedDepressed mood0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknown
adi029FloatRecommendedManic/Hyperactive Behavior Scoreadm029
adi030FloatRecommendedDepressed Mood Scoreadm030
adi031FloatRecommendedSocial Avoidance Scoreadm031
adi032FloatRecommendedGeneral Anxiety Scoreadm032
adi033FloatRecommendedCompulsive Behavior Scoreadm033
adi020IntegerRecommendedUnsettled, unable to relax0;1;2;3;-90=None;1=Mild;2=Moderate;3=Severe;-9=Unknown
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: adm01 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.