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Frequently Asked Questions


NDA Help Center

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



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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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Coaching Feedback Form



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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
version_formString100RequiredForm used/assessment name
feedback_1IntegerRecommendedCoaching Feedback Form Q1 T/P:How much did the coaching session support you to help the student reach the IEP objectives? S:This session met my needs1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_1, feedback_s_1, feedback_t_1
feedback_2IntegerRecommendedCoaching Feedback Form Q2 T/P: How much did the coaching session support you to implement strategies to reach the three targeted objectives? S:This session is useful in helping me meet my goals for after high school1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_2, feedback_s_2, feedback_t_2
feedback_3IntegerRecommendedCoaching Feedback Form Q3 T/P: How much did the coaching session support you to try new interventions? S: The ideas discussed can be carried out1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_3, feedback_s_3, feedback_t_3
feedback_4IntegerRecommendedCoaching Feedback Form Q4 T/P: How much did the coaching session cause you stress? S: This session caused me stress.1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_4, feedback_s_4, feedback_t_4
feedback_5IntegerRecommendedCoaching Feedback Form Q5 T/P: How helpful were discussions? S: The coach was a good listener.1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_5, feedback_s_5, feedback_t_5
feedback_6IntegerRecommendedCoaching Feedback Form Q6 T/P: How helpful were the DVDs/video recordings? S: The coach was nonjudgmental.1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_6, feedback_s_6, feedback_t_6
feedback_7IntegerRecommendedCoaching Feedback Form Q7 T/P: How helpful was the Goal Attainment Scale (GAS) form? S: The coach was able to offer ideas and strategies.1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_7, feedback_s_7, feedback_t_7
feedback_8IntegerRecommendedCoaching Feedback Form Q8 T/P: How much did you feel that the coach was a good listener? S: The coach was encouraging.1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_8, feedback_s_8, feedback_t_8
feedback_9IntegerRecommendedCoaching Feedback Form Q9 T/P: How much did you feel that the coach was nonjudgmental?1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_9, feedback_t_9
feedback_10IntegerRecommendedCoaching Feedback Form Q10 T/P: How much did you feel that the coach was able to offer ideas and strategies?1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_10, feedback_t_10
feedback_11IntegerRecommendedCoaching Feedback Form Q11 T/P: How much did you feel that the coach was encouraging?1::4; 888; 9991 = Not very much; 4 = Very much; 888 = not applicable; 999 = missingfeedback_p_11, feedback_t_11
feedback_totalIntegerRequiredCoaching Feedback Form total888 = not applicable; 999 = missingfeedback_p_total, feedback_s_total, feedback_t_total
fidelity_t_timeIntegerRecommendedTime point of completion1::4; 888; 9991 = coaching 1; 2 = coaching 2; 3 = coaching 3; 4 = coaching 4; 888 = not applicable; 999 = missingfeedback_p_time, feedback_s_time, feedback_t_time
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: cff01 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.