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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



Reset Password

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.

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.

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About NDAR

You are currently visiting the website of the the National Database for Autism Research (NDAR) is an NIH-funded data repository that aims to accelerate progress in autism spectrum disorder (ASD) research through data sharing, data harmonization, and the reporting of research results. NDAR is one of several databases that make up the National Institute of Mental Health Data Archive (NDA).

NDAR accepts, houses, and shares with qualified researchers, harmonized, item-level, ASD-related data of all types, and concerning all levels of biological and behavioral organization.

Sharing data, associated tools, and methodologies, rather than just summaries or interpretations of them, accelerates research progress by allowing re-analysis of data, as well as re-aggregation, integration, and rigorous comparison with other data, tools, and methods. This community-wide sharing requires common data definitions and standards, as well as comprehensive and coherent informatics approaches.

To meet this challenge, NDAR supports several tools for data definition, harmonization, and quality assurance, in order to help researchers adopt and meet community data standards across all projects and research institutions. After thorough analyses and input from the whole ASD research community, the NDAR Data Dictionary contains many hundreds of community-defined data structures. NDAR has the capability to use these structures alongside quality assurance tools to ensure data stored in the repository are harmonized to those community-defined standards.

NDAR also supports the reporting of research results through the NDA Study feature. This allows researchers to link their publications or findings directly to the set of underlying data already stored in NDAR with supporting documentation (cohort definition, measures, results, etc.).

For a more detailed understanding on how NDAR organizes and shares human subjects research data see the publication Sharing Heterogeneous Data: The National Database for Autism Research.

NIMH Data Archive

NDAR is a part of the National Institute of Mental Health Data Archive (NDA), a collection of repositories including the RDoC Database (RDoCdb), the National Database for Clinical Trials related to Mental Illness (NDCT), and the NIH Pediatric MRI Repository (PedsMRI). The NDA infrastructure was established initially to support NDAR, but has grown into an informatics platform that facilitates data sharing across all of mental health and other research communities.

The NIH and the NIMH seek to encourage the use of these resources to achieve rapid scientific progress. In order to take full advantage of such resources and maximize their research value, it is important that data be made available, on appropriate terms and conditions, to the largest possible number of qualified investigators in a timely manner.


NDAR is sponsored by the National Institutes of Health (NIH), the nation's medical research agency, and is supported by the following NIH Institutes and Centers:

NDAR supports the aims of the Interagency Autism Coordinating Committee (IACC), which is a federal advisory committee that coordinates all efforts within the U.S. Department of Health and Human Services (HHS) concerning autism spectrum disorder (ASD).