NDA Help Center

Login Dialog

Frequently Asked Questions


NDA Help Center

Filter Cart

The Filter Cart provides a way to query and access data for which you may be interested.  There are multiple places to go query and Add to Filter Cart (Sometimes called Download).  

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 add subjects, sometimes it may take a few minutes to populate.  You can continue to do other things 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 available for the subjects selected 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 available.  However, if you want to see all of the clinical and phenotype, then select, "Find All Subject Data" to see all the data avaialble for those subjects.  

when a secord or third filter is applied, an AND condition is used to determine the subjects that are exist in all filters.  If the subject does not appear in any filter, that subjects data will be excluded from your filter cart. Given the sparcity of data in the NDA, it is possible for no subjects to appear across filters.  If that happens, clear your filter cart, and start over.  

The NDA is looking to enhance query/filtering.  Until additional tools become available, it is best to package more data than you need and then package and download the data and use other tools to further restrict and analyze the data.  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



Reset Password

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.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the National Database for Autism Research (NDAR) web site to go to:

Click on the address above if the page does not change within 10 seconds.


NDAR is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Selected Filters
No filters selected

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

Value Range
Data Structures with shared data
No filters have been selected
Switch User
There is currently a network outage affecting packaging and miNDAR creation. We expect it to be resolved shortly. Please email ndahelp@mail.nih.gov for assistance.

ABCD RA Scanning Checklist and Notes



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredConditionDescriptionValue RangeNotes
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 = Female
eventnameString60RequiredThe event name for which the data was collected
ra_scan_cl_prescr_orderString60RecommendedPrescribed task/trial orderThis field references the task and trial order values displayed in "Special Instrument Participation".
ra_scan_cl_non_randIntegerRecommendedA non-prescribed task and/or trial order was used for this scan.0 ; 11 = Yes; 0 = No
ra_scan_cl_task_ord_usedIntegerRecommended ra_scan_cl_non_rand == 1fMRI task order used instead1 ; 2 ; 3 ; 4 ; 5 ; 61 = 1 (SST -> MID -> NBACK); 2 = 2 (SST ->NBACK -> MID); 3 = 3 (MID -> SST -> NBACK); 4 = 4 (MID -> NBACK -> SST); 5 = 5 (NBACK -> MID -> SST); 6 = 6 (NBACK -> SST -> MID)
ra_scan_cl_trial_ord_midIntegerRecommended ra_scan_cl_non_rand == 1fMRI trial order MID used instead1 ; 2 ; 3 ; 4 ; 5 ; 6 ; 7 ; 8 ; 9 ; 10 ; 11 ; 12 ; 131 = 1; 2 = 2; 3 = 3; 4 = 4; 5 = 5; 6 = 6; 7 = 7; 8 = 8; 9 = 9; 10 = 10; 11 = 11; 12 = 12; 13 = 13
ra_scan_cl_trial_ord_sstIntegerRecommended ra_scan_cl_non_rand == 1fMRI trial order SST used instead1 ; 2 ; 3 ; 4 ; 5 ; 6 ; 7 ; 8 ; 9 ; 10 ; 11 ; 12 ; 131 = 1; 2 = 2; 3 = 3; 4 = 4; 5 = 5; 6 = 6; 7 = 7; 8 = 8; 9 = 9; 10 = 10; 11 = 11; 12 = 12; 13 = 13
ra_scan_cl_trial_ord_nbackIntegerRecommended ra_scan_cl_non_rand == 1fMRI trial order N-BACK used instead1 ; 2 ; 3 ; 41 = 1; 2 = 2; 3 = 3; 4 = 4
ra_scan_check_list_midoIntegerRecommendedMID task order1 ; 2 ; 31 = 1st task; 2 = 2nd task; 3 = 3rd task
ra_scan_check_list_vmidrcIntegerRecommendedVersion of MID1 ; 2 ; 31 = A; 2 = B; 3 = C
ra_scan_check_list_emooIntegerRecommendedEmo Nback task order1 ; 2 ; 31 = 1st task; 2 = 2nd task; 3 = 3rd task
ra_scan_check_list_vemoIntegerRecommendedVersion of Emo Nback1 ; 2 ; 3 ; 41 = 1; 2 = 2; 3 = 3; 4 = 4
ra_scan_check_list_sstoIntegerRecommendedSST task order1 ; 2 ; 31 = 1st task; 2 = 2nd task; 3 = 3rd task
ra_scan_check_list_rtmidString30RecommendedRT from MID Practiceseconds
ra_scan_check_list_sspcIntegerRecommendedNumber of Scanning Sessions for Child1 ; 21 = 1; 2 = 2
ra_scan_check_list_rcomIntegerRecommendedHow many runs completed for MID?0 ; 1 ; 20 = 0; 1 = 1; 2 = 2
ra_scan_cl_mid_scan_lapIntegerRecommendedWas the MID task run in the scanner or laptop?1 ; 2 ; 3 ; 01 = Scanner; 2 = Laptop; 3 = Scanner and Laptop; 0 = Did not complete either
ra_scan_check_mid_earnString30RecommendedHow much money did the participant earn during the MID task?
ra_scan_check_list_vemorcIntegerRecommendedHow many runs completed for Emo NBack?0 ; 1 ; 20 = 0; 1 = 1; 2 = 2
ra_scan_cl_nbac_scan_lapIntegerRecommendedWas the N-BACK task run in the scanner or laptop?1 ; 2 ; 3 ; 01 = Scanner; 2 = Laptop; 3 = Scanner and Laptop; 0 = Did not complete either
ra_scan_check_list_sstrcIntegerRecommendedHow many runs completed for SST?0 ; 1 ; 20 = 0; 1 = 1; 2 = 2
ra_scan_cl_sst_scan_lapIntegerRecommendedWas the SST task run in the scanner or laptop?1 ; 2 ; 3 ; 01 = Scanner; 2 = Laptop; 3 = Scanner and Laptop; 0 = Did not complete either
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_ra01 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.