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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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Data Structures with shared data
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Maintenance and Manipulation Task



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*nimhid
src_subject_idString20RequiredSubject ID how it's defined in lab/projectptid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldtestdate
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
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
vmnm_manip_ttFloatRecommendedNumber manipulation trials responded tosmnm_manip_tt
vmnm_manip_accFloatRecommendedTotal number of manipulation trials responded to correctlysmnm_manip_acc
vmnm_manip_mnFloatRecommendedMean Accuracy for Manipulation trialssmnm_manip_mn
vmnm_manip_mnrtFloatRecommendedMean Reaction Time for Manipulation tasksmnm_manip_mnrt
vmnm_manip_mdrtFloatRecommendedMedian Reaction Time for Manipulationsmnm_manip_mdrt
vmnm_manip_sdrtFloatRecommendedSignal Delay for Manipulation task Reaction Timessmnm_manip_sdrt
vmnm_main_ttFloatRecommendedNumber of Maintenance trials responded tosmnm_main_tt
vmnm_main_accFloatRecommendedTotal number of maintenance trials responded to correctlysmnm_main_acc
vmnm_main_mnFloatRecommendedMean Accuracy for Maintenance trialssmnm_main_mn
vmnm_main_mnrtFloatRecommendedMean Reaction Time for Maintenance tasksmnm_main_mnrt
vmnm_main_mdrtFloatRecommendedMedian Reaction Time for Maintenancesmnm_main_mdrt
vmnm_main_sdrtFloatRecommendedSignal Delay for Maintenance task Reaction Timessmnm_main_sdrt
vmnm_main_tpFloatRecommendedMaintenance True Positivessmnm_main_tp
vmnm_main_fpFloatRecommendedMaintenance False Positivessmnm_main_fp
vmnm_main_tnFloatRecommendedMaintenance True Negativessmnm_main_tn
vmnm_main_fnFloatRecommendedMaintenance False Negativessmnm_main_fn
vmnm_manip_tpFloatRecommendedManipulation True Positiviessmnm_manip_tp
vmnm_manip_fpFloatRecommendedManipulation False Positivessmnm_manip_fp
vmnm_manip_tnFloatRecommendedManipulation True Negativessmnm_manip_tn
vmnm_manip_fnFloatRecommendedManipulation False Negativessmnm_manip_fn
vmnm_maint_targetsFloatRecommendedMaintenance Targetssmnm_maint_targets
vmnm_manip_targetsFloatRecommendedManipulation Targetssmnm_manip_targets
vmnm_maint_foilsFloatRecommendedMaintenance Foilssmnm_maint_foils
vmnm_manip_foilsFloatRecommendedManipulation Foilssmnm_manip_foils
vmnm_maint_pcFloatRecommendedMaintenance Percent Correctsmnm_maint_pc
vmnm_manip_pcFloatRecommendedManipulation Percent Correctsmnm_manip_pc
vmnm_maint_hitsFloatRecommendedMaintenance Hits (True Positives)smnm_maint_hits
vmnm_maint_faFloatRecommendedMaintenance False Alarmssmnm_maint_fa
vmnm_manip_hitsFloatRecommendedManipulation Hits (True Positives)smnm_manip_hits
vmnm_manip_faFloatRecommendedManipulation False Alarmssmnm_manip_fa
vmnm_maint_dprimeFloatRecommendedMaintenance d prime scoresmnm_maint_dprime
vmnm_manip_dprimeFloatRecommendedManipulation d prime scoresmnm_manip_dprime
block_numberIntegerRecommendedBlock Number
running_trial_numberIntegerRecommendedRunning Trial Number
proceduretrialString20Recommendedtrial type
hitFloatRecommendedTrue Positivetp
cjFloatRecommendedCorrect Rejectiontn
falsealarmFloatRecommendedFalse Alarmfn
mp_sb_ntcFloatRecommended# trials completed
version_formString100RecommendedForm used/assessment name
subject_responseString10RecommendedSubject's responseproberesp
acc_itemFloatRecommendedResponse Accuracy for item recognitionprobeacc
item_rtFloatRecommendedResponse time for itemprobert
experiment_nameString200RecommendedExperiment Nameexperimentname
groupsIntegerRecommendedGroup0;10=Control; 1=Casegroup
stimeString20RecommendedSession timesessiontime
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: mainmani01 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.