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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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List Learning Survey



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/projectbid, catieid, newid, participant_id, subject, subject_id
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.age, dema1
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddate_of_interview, date_of_rating, pnsdate
sexString20RequiredSex of the subjectM;FM = Male; F = Femaledema2, gender, sex
siteString101RecommendedSiteStudy Site
dayIntegerRecommendedDay of assessment period
sessionidString50RecommendedIdentifier of Testing Session
start_timeString50RecommendedTrial Start Timestart_time1, start_time2
snd_timeString50RecommendedTimestamp for the end of the sessionend_time1, end_time2
list_numIntegerRecommendedWhich predetermined word list was utilized in this survey?1::15number of words
list_lengthIntegerRecommendedNumber of words to be memorized during the session's task6; 12; 18number of words
trial1_overall_corrIntegerRecommendedThe overall correct number of answers during the recall trial for trial 10::36correct answers
trial1_corrIntegerRecommendedThe number of correct identifications of target words that were memorized for trial 10::18correct answers
trial1_corr_srIntegerRecommendedThe self-reported number of correct identifications of target words that were memorized for trial 10::36correct answers
trial2_overall_corrIntegerRecommendedThe overall correct number of answers during the recall trial for trial 20::36correct answers
trial2_corrIntegerRecommendedThe number of correct identifications of target words that were memorized for trial 20::18correct answers
trial2_corr_srIntegerRecommendedThe self-reported number of correct identifications of target words that were memorized for trial 20::36correct answers
better1IntegerRecommendedDo you think you did better on trial 2 than on trial 1?0; 10 = No; 1 = Yes
trial3_overall_corrIntegerRecommendedThe overall correct number of answers during the recall trial for trial 30::36correct answers
trial3_corrIntegerRecommendedThe number of correct identifications of target words that were memorized for trial 30::18correct answers
trial3_corr_srIntegerRecommendedThe self-reported number of correct identifications of target words that were memorized for trial 30::36correct answers
better2IntegerRecommendedDo you think you did better on trial 3 than on trial 2?0; 10 = No; 1 = Yes
improvedIntegerRecommendedDo you think your performance improved over the 3 trials?0; 10 = No; 1 = Yes
ema_distractedIntegerRecommendedOverall when taking this test, were you Distracted?0; 10 = No; 1 = Yesdistracted
interruptedIntegerRecommendedOverall when taking this test, were you Interrupted?0; 10 = No; 1 = Yes
difficultyIntegerRecommendedHow difficult was it to remember the list?1::71= Not at all; 7= Extremely
ema_effortIntegerRecommendedHow hard did you try to remember the words?1::71= Not at all; 7= Extremelyeffort, how_hard
gameString50Recommendedtitle of gamegame1, game2
ema_wordsIntegerRecommendedHow many words from the list did you correctly remember?0::24words, words1, words2
how_wellIntegerRecommendedHow well do you think you did on this game?1::71= Not at all; 7= Extremely
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: emasurvey01 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.