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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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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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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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ABCD Pearson Scores



Measures included in Pearson Scores: Rey Auditory Verbal Learning Test, Matrix Reasoning Test, and Rey Delayed Recall Test

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 field
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 = Femalesex
eventnameString60RequiredThe event name for which the data was collected
pea_assessment_statusString30RecommendedPearson Assessment Status
pea_assessmentdateString30RecommendedAssessment Date
pea_assessmentidString60RecommendedPearson Assessment ID
pea_ravlt_sd_trial_i_tcIntegerRecommendedRAVLT Short Delay Trial I Total Correct
pea_ravlt_sd_trial_i_trIntegerRecommendedRAVLT Short Delay Trial I Total Repetitions
pea_ravlt_sd_trial_i_tiIntegerRecommendedRAVLT Short Delay Trial I Total Intrusions
pea_ravlt_sd_trial_ii_tcIntegerRecommendedRAVLT Short Delay Trial II Total Correct
pea_ravlt_sd_trial_ii_trIntegerRecommendedRAVLT Short Delay Trial II Total Repetitions
pea_ravlt_sd_trial_ii_tiIntegerRecommendedRAVLT Short Delay Trial II Total Intrusions
pea_ravlt_sd_trial_iii_tcIntegerRecommendedRAVLT Short Delay Trial III Total Correct
pea_ravlt_sd_trial_iii_trIntegerRecommendedRAVLT Short Delay Trial III Total Repetitions
pea_ravlt_sd_trial_iii_tiIntegerRecommendedRAVLT Short Delay Trial III Total Intrusions
pea_ravlt_sd_trial_iv_tcIntegerRecommendedRAVLT Short Delay Trial IV Total Correct
pea_ravlt_sd_trial_iv_trIntegerRecommendedRAVLT Short Delay Trial IV Total Repetitions
pea_ravlt_sd_trial_iv_tiIntegerRecommendedRAVLT Short Delay Trial IV Total Intrusions
pea_ravlt_sd_trial_v_tcIntegerRecommendedRAVLT Short Delay Trial V Total Correct
pea_ravlt_sd_trial_v_trIntegerRecommendedRAVLT Short Delay Trial V Total Repetitions
pea_ravlt_sd_trial_v_tiIntegerRecommendedRAVLT Short Delay Trial V Total Intrusions
pea_ravlt_sd_listb_tcIntegerRecommendedRAVLT Short Delay List B Total Correct
pea_ravlt_sd_listb_trIntegerRecommendedRAVLT Short Delay List B Total Repetitions
pea_ravlt_sd_listb_tiIntegerRecommendedRAVLT Short Delay List B Total Intrusions
pea_ravlt_sd_trial_vi_tcIntegerRecommendedRAVLT Short Delay Trial VI Total Correct
pea_ravlt_sd_trial_vi_trIntegerRecommendedRAVLT Short Delay Trial VI Total Repetitions
pea_ravlt_sd_trial_vi_tiIntegerRecommendedRAVLT Short Delay Trial VI Total Intrusions
pea_ravlt_ld_trial_vii_tcIntegerRecommendedRAVLT Long Delay Trial VII Total Correct
pea_ravlt_ld_trial_vii_trIntegerRecommendedRAVLT Long Delay Trial VII Total Repetitions
pea_ravlt_ld_trial_vii_tiIntegerRecommendedRAVLT Long Delay Trial VII Total Intrusions
pea_wiscv_trsIntegerRecommendedWISC-V Matrix Reasoning Total Raw Score
pea_wiscv_tssIntegerRecommendedWISC-V Matrix Reasoning Total Scaled Score
pea_wiscv_item_a_rsIntegerRecommendedWISC-V Matrix Reasoning Sample Item A (Matrix) Raw Score
pea_wiscv_item_b_rsIntegerRecommendedWISC-V Matrix Reasoning Sample Item B (Serial Order) Raw Score
pea_wiscv_item_1_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 1 Raw Score
pea_wiscv_item_2_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 2 Raw Score
pea_wiscv_item_3_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 3 Raw Score
pea_wiscv_item_4_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 4 Raw Score
pea_wiscv_item_5_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 5 Raw Score
pea_wiscv_item_6_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 6 Raw Score
pea_wiscv_item_7_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 7 Raw Score
pea_wiscv_item_8_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 8 Raw Score
pea_wiscv_item_9_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 9 Raw Score
pea_wiscv_item_10_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 10 Raw Score
pea_wiscv_item_11_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 11 Raw Score
pea_wiscv_item_12_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 12 Raw Score
pea_wiscv_item_13_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 13 Raw Score
pea_wiscv_item_14_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 14 Raw Score
pea_wiscv_item_15_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 15 Raw Score
pea_wiscv_item_16_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 16 Raw Score
pea_wiscv_item_17_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 17 Raw Score
pea_wiscv_item_18_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 18 Raw Score
pea_wiscv_item_19_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 19 Raw Score
pea_wiscv_item_20_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 20 Raw Score
pea_wiscv_item_21_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 21 Raw Score
pea_wiscv_item_22_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 22 Raw Score
pea_wiscv_item_23_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 23 Raw Score
pea_wiscv_item_24_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 24 Raw Score
pea_wiscv_item_25_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 25 Raw Score
pea_wiscv_item_26_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 26 Raw Score
pea_wiscv_item_27_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 27 Raw Score
pea_wiscv_item_28_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 28 Raw Score
pea_wiscv_item_29_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 29 Raw Score
pea_wiscv_item_30_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 30 Raw Score
pea_wiscv_item_31_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 31 Raw Score
pea_wiscv_item_32_rsFloat30RecommendedWISC-V Matrix Reasoning Sample Item 32 Raw 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: abcd_ps01 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.