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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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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Selected Filters
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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

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Data Structures with shared data
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Effort-Expenditure for Reward Task



In lab and fMRI version or the task

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/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldeffortdt
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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
total_hard_choiceFloatRequiredPercentage of hard choice selectionhard_overall, prphdtsk
reward_sensitivity_betaFloatRequiredBeta value for reward sensitivity. Reward magnitud (RM_beta)sens_beta
comprateFloatRecommendedComplete rate
trialIntegerRecommendedTrial number1::1801 = first; 2= second; 3=third; 4=fourth; 5=fifth; 6=sixth; etctrialnumber
choice_88FloatRecommendedPercentage of hard choice selection during 88% winning probability conditionhard_hi
choice_50FloatRecommendedPercentage of hard choice selection during 50% winning probability conditionhard_med
choice_12FloatRecommendedPercentage of hard choice selection during 12% winning probability conditionhard_lo
ne_20FloatRecommended% non-effortful choice at effort level 20
e_20FloatRecommended% effortful choice at effort level 20
ne_50FloatRecommended% non-effortful choice at effort level 50
e_50FloatRecommended% effortful choice at effort level 50
ne_80FloatRecommended% non-effortful choice at effort level 80
e_80FloatRecommended% effortful choice at effort level 80
ne_100FloatRecommended% non-effortful choice at effort level 100
e_100FloatRecommended% effortful choice at effort level 100
rtFloatRecommendedReaction Timert_total
timeoutFloatRecommendednumber of timeouts
post_hardFloatRecommendedtotal hard choice for postscan
post_switchFloatRecommendednumber of choices switched
post_compFloatRecommended% completedcomplete_total
perc_toIntegerRecommended% timeout0;1; -99-99=missing
data_file1FileRecommendedData file
eefrt_pe_1IntegerRecommended# of taps in 7 secondsPractice trial, used to determine target score
eefrt_ph_2IntegerRecommended# of taps in 21 secondsPractice trial, used to determine target score
eefrt_targetscore_eFloatRecommendedTarget score for 7-second trials
eefrt_targetscore_hFloatRecommendedTarget score for 21-second trials
eefrt_01_conditionString1RecommendedSubject chooses to complete a hard task or an easy task.E;HE = Easy; H = Hard
eefrt_01_tapsIntegerRecommended# of taps recorded during H or E condition
eefrt_01_targetIntegerRecommendedWas the target score met? Was this trial paid or unpaid?1::41 = Target score met, paid trial. 2 = target score met, not a paid trial. No_p: Target score not met, paid trial. No_np:Target score not met, not a paid trial.
dodeString10RecommendedDate of Data Entry
aescodeIntegerRecommendedStaff code number of person completing this form
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
version_formString100RecommendedForm used/assessment name
pupil_recordIntegerRecommendedWas the pupil recorded in this trial?0;10 = No; 1 = Yes
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: eefrt01 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.