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Frequently Asked Questions


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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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Data Structures with shared data
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Processed MRI Data

12,414 Shared Subjects

Neurosignal Recordings
Evaluated Data
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Query Element Name Data Type Size Required Condition Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
Query origin_dataset_id Integer Recommended Origin dataset Id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query experiment_id Integer Conditional scan_type == 'fMRI' ID for the Experiment/settings/run
Query inputs String 1,024 Recommended Description of the inputs for the process
Query img03_id Integer Recommended Corresponds to row_id in image03 data structure, mapping derivative to source record in image03
file_source String 1,024 Required File name/location
Query job_name String 50 Recommended Identity of the run for pipeline processes
proc_types String 50 Recommended Type of Process
metric_files File 1,024 Recommended An archive of the files produced by the pipeline for metrics values
Query pipeline String 100 Required Pipeline name
Query pipeline_script String 255 Required File from pipeline used to derive output
Query pipeline_tools String 255 Required Specific tools used in a pipeline (i.e., FreeSurfer, FSL, ANTs)
Query pipeline_type String 255 Required Description of pipeline platform (i.e., LONI, NITRC-CE, NiPype)
Query pipeline_version String 255 Required Version assigned to pipeline
Query qc_fail_quest_reason String 255 Required Provide a reason that the image was determined to fail a quality control check or if the quality control check determined that the image was questionable
Query qc_outcome String 25 Required Provide information on the conclusion of the quality control methods regarding the quality of the image pass;fail;questionable; undetermined; obsolete
derived_files File Conditional isNull(manifest) An archive of the files produced by the pipeline
Query scan_type String 50 Required Type of Scan MR diffusion; fMRI; MR structural (MPRAGE); MR structural (T1); MR structural (PD); MR structural (FSPGR); MR structural (FISP); MR structural (T2); PET; ASL; microscopy; MR structural (PD, T2); MR structural (B0 map); MR structural (B1 map); single-shell DTI; multi-shell DTI; Field Map; X-Ray; static magnetic field B0; pCASL: ASL; MR: T2star; MR: FLAIR; Localizer scan; MR structural (FLASH); MR structural (MP2RAGE); MR structural (TSE); MR structural (T1, T2); 2D gradient echo; MR structural (MPnRAGE)
Query img03_id2 Integer Recommended Corresponds to row_id in image03 data structure, mapping derivative to source record in image03, number 2
file_source2 String 1,000 Recommended File name/location, 2
Query session_det String 250 Recommended session details
image_history String 1,024 Recommended Image history,f.e. transformations steps and other modifications.
manifest Manifest Conditional isNull(derived_files)
image_description String 512 Recommended Image description, i.e. DTI, fMRI, Fast SPGR, phantom, EEG, dynamic PET
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.