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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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Acquired Capability for Suicide Scale

sui_acss

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*z1
src_subject_idString20RequiredSubject ID how it's defined in lab/projectsubject_id, z2
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddate_ctq, v2_ctq_date, z3
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.v2_ctq_age, z4
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender, z5
acss01IntegerRecommendedThings that scare most people do not scare me0 :: 40 = Not at all like me; 4 = Very much like meacss_1
acss02IntegerRecommendedThe sight of my own blood does not bother me0 :: 40 = Not at all like me; 4 = Very much like me
acss03IntegerRecommendedI avoid certain situations becaue of the possibility of injury0 :: 40 = Not at all like me; 4 = Very much like me
acss04IntegerRecommendedI can tolerate a lot more pain than most people0 :: 40 = Not at all like me; 4 = Very much like meacss_2
acss05IntegerRecommendedPeople describe me as fearless0 :: 40 = Not at all like me; 4 = Very much like meacss_3
acss06IntegerRecommendedThe sight of blood bothers me a great deal (Reverse)0 :: 44 = Not at all like me; 0 = Very much like me
acss07IntegerRecommendedThe fact that I am going to die does not affect me0 :: 40 = Not at all like me; 4 = Very much like me
acss08IntegerRecommendedThe pain involved in dying frightens me (Reverse)0 :: 44 = Not at all like me; 0 = Very much like meacss_4
acss09IntegerRecommendedKilling animals in a science course would not bother me0 :: 40 = Not at all like me; 4 = Very much like me
acss10IntegerRecommendedI am very much afraid to die (Reverse)0 :: 44 = Not at all like me; 0 = Very much like me
acss11IntegerRecommendedIt does not make me nervous when people talk about death0 :: 40 = Not at all like me; 4 = Very much like me
acss12IntegerRecommendedThe sight of a dead body is horrifying to me (Reverse)0 :: 44 = Not at all like me; 0 = Very much like me
acss13IntegerRecommendedThe prospect of my own death arouses anxiety in me (Reverse)0 :: 44 = Not at all like me; 0 = Very much like me
acss14IntegerRecommendedI am not disturbed by death being the end of life as I know it0 :: 40 = Not at all like me; 4 = Very much like me
acss15IntegerRecommendedI like watching the aggressive contact in sports games0 :: 40 = Not at all like me; 4 = Very much like me
acss16IntegerRecommendedThe best parts of hockey games are the fights0 :: 40 = Not at all like me; 4 = Very much like me
acss17IntegerRecommendedWhen I see a fight, I stop to watch0 :: 40 = Not at all like me; 4 = Very much like me
acss18IntegerRecommendedI prefer to shut my eyes during the violent parts of movies0 :: 40 = Not at all like me; 4 = Very much like me
acss19IntegerRecommendedI am not at all afraid to die0 :: 40 = Not at all like me; 4 = Very much like meacss_5
acss20IntegerRecommendedI could kill myself if I wanted to0 :: 40 = Not at all like me; 4 = Very much like me
acss_factor1IntegerRecommendedACSS Factor 1; General Fearlessness and Perceived Pain Tolerance0::16
acss_factor2IntegerRecommendedACSS Factor 2; Fearlessness of Death0::20
acss_factor3IntegerRecommendedACSS Factor 3; Spectator Enjoyment of Violence0::12
acss_factor4IntegerRecommendedACSS Factor 4; Reverse-scored items0::20
acss_totalIntegerRequiredACSS Total0::80;888;999888= Not applicable; 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.

Distribution for DataStructure: sui_acss01 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.