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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



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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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Cogstate Brief Battery



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/projectrecord_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fielddate_of_interview_contact
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
sexString20RecommendedSex of the subjectM;FM = Male; F = Femalegender
cs_det_corFloatRecommendedCogstate Detection Test Correct
cs_det_errFloatRecommendedCogstate Detection Test Error
cs_det_preFloatRecommendedCogstate Detection Test Responses
cs_det_stiFloatRecommendedCogstate Detection Test Stimuli
cs_det_lmnFloatRecommendedCogstate Detection Test Speed
cs_det_lsdFloatRecommendedCogstate Detection Test Variability
cs_det_accFloatRecommendedCogstate Detection Test Accuracy
cs_idn_corFloatRecommendedCogstate Identification Test Correct
cs_idn_errFloatRecommendedCogstate Identification Test Error
cs_idn_preFloatRecommendedCogstate Identification Test Responses
cs_idn_stiFloatRecommendedCogstate Identification Test Stimuli
cs_idn_lmnFloatRecommendedCogstate Identification Test Speed
cs_idn_lsdFloatRecommendedCogstate Identification Test Variability
cs_idn_lsd2_accFloatRecommendedCogstate Identification Test Accuracy
cs_ocl_corFloatRecommendedCogstate One Card Learning Test Correct
cs_ocl_errFloatRecommendedCogstate One Card Learning Test Error
cs_ocl_preFloatRecommendedCogstate One Card Learning Test Responses
cs_ocl_stiFloatRecommendedCogstate One Card Learning Test Stimuli
cs_ocl_lmnFloatRecommendedCogstate One Card Learning Test Speed
cs_ocl_lsdFloatRecommendedCogstate One Card Learning Test Variability
cs_ocl_accFloatRecommendedCogstate One Card Learning Test Accuracy
cs_onb_corFloatRecommendedCogstate One Back Test Correct
cs_onb_errFloatRecommendedCogstate One Back Test Error
cs_onb_preFloatRecommendedCogstate One Back Test Responses
cs_onb_stiFloatRecommendedCogstate One Back Test Stimuli
cs_onb_lmnFloatRecommendedCogstate One Back Test Speed
cs_onb_lsdFloatRecommendedCogstate One Back Test Variability
cs_onb_accFloatRecommendedCogstate One Back Test Accuracy
completedIntegerRecommendedChecks if completed0::30=No; 1=Yes; 2=Yes, lost; 3=Unverifiedcogstate_complete
cs_shlst_corIntegerRecommendedInternational Shopping List Task: Shopping List Learning, Initial round - Number of words recalled from list
cs_shlst_wroIntegerRecommendedInternational Shopping List Task: Shopping List Learning, Initial round - Number of words said that were not on list
cs_shlst_repIntegerRecommendedInternational Shopping List Task: Shopping List Learning, Initial round - Number of words repeated
cs_shnxt_corIntegerRecommendedInternational Shopping List Task: Shopping List Learning, Next learning round - Number of words recalled from list
cs_shnxt_wroIntegerRecommendedInternational Shopping List Task: Shopping List Learning, Next learning round - Number of words said that were not on list
cs_shnxt_repIntegerRecommendedInternational Shopping List Task: Shopping List Learning, Next learning round - Number of words repeated
gm_chtsk_corIntegerRecommendedGroton Maze Chase Task: Chase the Target - Correct taps
gm_chtsk_incIntegerRecommendedGroton Maze Chase Task: Chase the Target - Incorrect taps
gm_chtsk_compIntegerRecommendedGroton Maze Chase Task: Chase the Target - Subject reached target?
gm_chtsk_timeFloatRecommendedGroton Maze Chase Task: Chase the Target - Time takenseconds
fr_mptsk_corIntegerRecommendedFixed Response Mapping Task - Number of correct presses
fr_mptsk_incIntegerRecommendedFixed Response Mapping Task - Number of incorrect presses
card_2bktask_rtFloatRecommendedTwo Back Task: Is the Card the same as that shown two cards ago?- Avg. Reaction timemilliseconds
card_2bktask_corIntegerRecommendedTwo Back Task: Is the Card the same as that shown two cards ago?- Number of correct presses
card_2bktask_incIntegerRecommendedTwo Back Task: Is the Card the same as that shown two cards ago?- Number of incorrect presses
card_stshfttsk_rtFloatRecommendedSet Shifting Task: Is this a target card?- Avg. Reaction timemilliseconds
card_stshfttsk_corIntegerRecommendedSet Shifting Task: Is this a target card?- Number of correct presses
card_stshfttsk_incIntegerRecommendedSet Shifting Task: Is this a target card?- Number of incorrect presses
pict_inilrn_timeFloatRecommendedContinuous Paired Associated Initial Learning Task: In what locations do these pictures belong? - time takenseconds
pict_lrntsk_corIntegerRecommendedContinuous Paired Associated Learning Task: In what locations do these pictures belong? - correct taps
pict_lrntsk_incIntegerRecommendedContinuous Paired Associated Learning Task: In what locations do these pictures belong? - incorrect taps
pict_lrntsk_timeFloatRecommendedContinuous Paired Associated Learning Task: In what locations do these pictures belong? - time takenseconds
tap_soccog_corIntegerRecommendedSocial-Emotional Cognition Task: Tap the Odd One Out - correct responses
tap_soccog_incIntegerRecommendedSocial-Emotional Cognition Task: Tap the Odd One Out - incorrect responses
tap_soccog_timeFloatRecommendedSocial-Emotional Cognition Task: Tap the Odd One Out - time takenseconds
csbb_psFloatRecommendedCogstate Brief Battery - processing speed score
csbb_asFloatRecommendedCogstate Brief Battery - attention score
csbb_vlFloatRecommendedCogstate Brief Battery - visual learning score
csbb_wmFloatRecommendedCogstate Brief Battery - working memory score
csbb_lwmcsFloatRecommendedCogstate Brief Battery - Learning/ working memory composite score
csbb_apfcsFloatRecommendedCogstate Brief Battery - Attention/ processing speed composite score
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: cogstate01 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.