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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

Glossary

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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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Cambridge Neuropsychological Tests Automated Battery

cantab

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/projectid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldadate
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
visitString50RecommendedVisit nametpoint
version_formString100RecommendedForm used/assessment name
trialIntegerRecommendedTrial number0::400; -777; -9991 = first; 2= second; 3=third; 4=fourth; 5=fifth; 6=sixth; etc; -777=NA, -999=missing
age_days_dot_to_dobIntegerRecommendedAge in days obtained by subtracting the date of birth from the date of testcantab_age_days_dot_to_dob
admin_statusString20RecommendedInstrument administration statusComplete;Partial;Not Administered;Not Applicablecantab_administration_status
cantab1FloatRecommendedMotor Screening: Mean Response Latencyms
cantab2FloatRecommendedMotor Screening: Accuracy0::100Percent correctly pointed to
cantab3FloatRecommendedPattern recognition memory: Mean Latency to Correct Responsesms
cantab4IntegerRecommendedPattern recognition memory: Number of Correct Responses
cantab5FloatRecommendedPattern recognition memory: Percent of Correct Responses0::100Percent correct
cantab6FloatRecommendedSpatial memory span: Length of memory spanlongest sequence successfully recalled
cantab7IntegerRecommendedSpatial memory span: Total Errors
cantab8IntegerRecommendedSpatial memory span: Total Usage Errors
cantab9FloatRecommendedSpatial memory span: Mean Latencyms
cantab10IntegerRecommendedIntradimensional/ extradimensional shift: Total errors
cantab_ied_initial_shiftString10RecommendedCANTAB: ID/ED set shift subtest indicates whether the initial set shift was intra or extradimensional
cantab_ied_original_dimensionString10RecommendedCANTAB: ID/ED set shift subtest original dimension (i.e., shape)
cantab_ied_outcomeString30RecommendedCANTAB: ID/ED set shift subtest outcomeY; N; F; Atest completed; test not completed; test aborted; test failed
cantab_ied_stage_all_errorIntegerRecommendedCANTAB: ID/ED set shift subtest total number of errors for all stages
cantab_ied_stage_all_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest average latency for all trials across all stages
cantab_ied_stage_all_trialsIntegerRecommendedCANTAB: ID/ED set shift subtest total number of trials completed across al stages
cantab_ied_stage1_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 1 total number of errors
cantab_ied_stage1_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 1 average latency for all the trials
cantab_ied_stage1_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 1 total number of trials
cantab_ied_stage2_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 2 total number of errors
cantab_ied_stage2_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 2 average latency for all the trials for all the trials
cantab_ied_stage2_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 2 total number of trials
cantab_ied_stage3_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 3 total number of errors
cantab_ied_stage3_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 3 average latency for all the trials
cantab_ied_stage3_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 3 total number of trials
cantab_ied_stage4_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 4 total number of errors
cantab_ied_stage4_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 4 average latency for all the trials
cantab_ied_stage4_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 4 total number of trials
cantab_ied_stage5_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 5 total number of errors
cantab_ied_stage5_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 5 average latency for all the trials
cantab_ied_stage5_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 5 total number of trials
cantab_ied_stage6_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 6 total number of errors
cantab_ied_stage6_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 6 average latency for all the trials
cantab_ied_stage6_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 6 total number of trials
cantab_ied_stage7_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 7 total number of errors
cantab_ied_stage7_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 7 average latency for all the trials
cantab_ied_stage7_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 7 total number of trials
cantab_ied_stage8_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 8 total number of errors
cantab_ied_stage8_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 8 average latency for all the trials
cantab_ied_stage8_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 8 total number of trials
cantab_ied_stage9_errorIntegerRecommendedCANTAB: ID/ED set shift subtest stage 9 total number of errors
cantab_ied_stage9_latencyIntegerRecommendedCANTAB: ID/ED set shift subtest stage 9 average latency for all the trials
cantab_ied_stage9_trialIntegerRecommendedCANTAB: ID/ED set shift subtest stage 9 total number of trials
cantab_ied_stages_completedIntegerRecommendedCANTAB: ID/ED set shift subtest total number of stages completed up to a maximum of 9
cantab23IntegerRecommendedStockings of Cambridge: Number of moves
cantab24IntegerRecommendedStockings of Cambridge: Problems solved in minimum moves
cantab25FloatRecommendedStockings of Cambridge: Mean initial thinking timeseconds
cantab26FloatRecommendedStockings of Cambridge: Subsequent thinking time across all levelsseconds
cantab27FloatRecommendedStockings of Cambridge: Mean subsequent thinking timeseconds
cantab28IntegerRecommendedVerbal Recognition Memory: Amount of words produced after presentation
cantab29IntegerRecommendedVerbal Recognition Memory: Amount of words recognized from mixed list of presented words and distractors
cantab30IntegerRecommendedVerbal Recognition Memory: Amount of words recognized from mixed list of presented words and distractors after 20 minutes
cantab31FloatRecommendedCambridge Gambling Task Trial 1: Score changeThe difference between the starting points and points at end of task
cantab32FloatRecommendedCambridge Gambling Task Trial 1: Mean decision making speedseconds
cantab33FloatRecommendedCambridge Gambling Task Trial 1: Percentage chose the most likely outcome
cantab34FloatRecommendedCambridge Gambling Task Trial 1: Ratio of the boxesExpressed in decimal; red/blue
cantab35FloatRecommendedCambridge Gambling Task Trial 2: Score changeThe difference between the starting points and points at end of task
cantab36FloatRecommendedCambridge Gambling Task Trial 2: Mean decision making speedseconds
cantab37FloatRecommendedCambridge Gambling Task Trial 2: Percentage chose the most likely outcome
cantab38FloatRecommendedCambridge Gambling Task Trial 2: Ratio of the boxesExpressed in decimal; red/blue
data_file1FileRecommendedData file 1
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
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: cantab01 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.