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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

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Joystick Coding of Dyadic Relationships

jcdr

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
warmth1IntegerRecommendedAverage score on warmth scale during the 1st minute of dyadic interaction-1000::1000
warmth2IntegerRecommendedAverage score on warmth scale during the 2nd minute of dyadic interaction-1000::1000
warmth3IntegerRecommendedAverage score on warmth scale during the 13rd minute of dyadic interaction-1000::1000
warmth4IntegerRecommendedAverage score on warmth scale during the 4th minute of dyadic interaction-1000::1000
warmth5IntegerRecommendedAverage score on warmth scale during the 5th minute of dyadic interaction-1000::1000
warmth6IntegerRecommendedAverage score on warmth scale during the 6th minute of dyadic interaction-1000::1000
warmth7IntegerRecommendedAverage score on warmth scale during the 7th minute of dyadic interaction-1000::1000
warmth8IntegerRecommendedAverage score on warmth scale during the 8th minute of dyadic interaction-1000::1000
warmth9IntegerRecommendedAverage score on warmth scale during the 9th minute of dyadic interaction-1000::1000
warmth10IntegerRecommendedAverage score on warmth scale during the 10th minute of dyadic interaction-1000::1000
warmth11IntegerRecommendedAverage score on warmth scale during the 11th minute of dyadic interaction-1000::1000
warmth12IntegerRecommendedAverage score on warmth scale during the 12th minute of dyadic interaction-1000::1000
warmth13IntegerRecommendedAverage score on warmth scale during the 13th minute of dyadic interaction-1000::1000
warmth14IntegerRecommendedAverage score on warmth scale during the 14th minute of dyadic interaction-1000::1000
warmth15IntegerRecommendedAverage score on warmth scale during the 15th minute of dyadic interaction-1000::1000
warmth16IntegerRecommendedAverage score on warmth scale during the 16th minute of dyadic interaction-1000::1000
warmth17IntegerRecommendedAverage score on warmth scale during the 17th minute of dyadic interaction-1000::1000
warmth18IntegerRecommendedAverage score on warmth scale during the 18th minute of dyadic interaction-1000::1000
warmth19IntegerRecommendedAverage score on warmth scale during the 19th minute of dyadic interaction-1000::1000
warmth20IntegerRecommendedAverage score on warmth scale during the 20th minute of dyadic interaction-1000::1000
overall_warmthIntegerRecommendedAverage score on warmth scale during the entirety of the dyadic interaction-1000::1000
dominance1IntegerRecommendedAverage score on dominance scale during the 1st minute of dyadic interaction-1000::1000
dominance2IntegerRecommendedAverage score on dominance scale during the 2nd minute of dyadic interaction-1000::1000
dominance3IntegerRecommendedAverage score on dominance scale during the 3th minute of dyadic interaction-1000::1000
dominance4IntegerRecommendedAverage score on dominance scale during the 4th minute of dyadic interaction-1000::1000
dominance5IntegerRecommendedAverage score on dominance scale during the 5th minute of dyadic interaction-1000::1000
dominance6IntegerRecommendedAverage score on dominance scale during the 6th minute of dyadic interaction-1000::1000
dominance7IntegerRecommendedAverage score on dominance scale during the 7th minute of dyadic interaction-1000::1000
dominance8IntegerRecommendedAverage score on dominance scale during the 8th minute of dyadic interaction-1000::1000
dominance9IntegerRecommendedAverage score on dominance scale during the 9th minute of dyadic interaction-1000::1000
dominance10IntegerRecommendedAverage score on dominance scale during the 10 minute of dyadic interaction-1000::1000
dominance11IntegerRecommendedAverage score on dominance scale during the 11th minute of dyadic interaction-1000::1000
dominance12IntegerRecommendedAverage score on dominance scale during the 12th minute of dyadic interaction-1000::1000
dominance13IntegerRecommendedAverage score on dominance scale during the 13th minute of dyadic interaction-1000::1000
dominance14IntegerRecommendedAverage score on dominance scale during the 14th minute of dyadic interaction-1000::1000
dominance15IntegerRecommendedAverage score on dominance scale during the 15th minute of dyadic interaction-1000::1000
dominance16IntegerRecommendedAverage score on dominance scale during the 16th minute of dyadic interaction-1000::1000
dominance17IntegerRecommendedAverage score on dominance scale during the 17th minute of dyadic interaction-1000::1000
dominance18IntegerRecommendedAverage score on dominance scale during the 18th minute of dyadic interaction-1000::1000
dominance19IntegerRecommendedAverage score on dominance scale during the 19th minute of dyadic interaction-1000::1000
dominance20IntegerRecommendedAverage score on dominance scale during the 20th minute of dyadic interaction-1000::1000
overall_dominanceIntegerRecommendedAverage score on dominance scale during the entirety of the dyadic interaction-1000::1000
type_of_interactionString20RecommendedIndicate the nature of the relationship between the interacting individuals. For example, this could include response like: mother and child, father and child, strangers, husband and wife, primary caregiver and child, etc
participant_of_interestString20RecommendedIndicate relationship of individual in the dyadic interaction being coded
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: jcdr01 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.