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in development Image Attribution Framework Development Repository


General Information
The Image Attribution Framework Development Repository is a system for neuroimaging data citation and credit with a practical implementation that meets the objectives of unique identification, data use tracking, and integration with traditional credit attribution systems. This reference implementation was created which mirrors the structure of the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) neuroimaging data repository using the XNAT platform. DOIs can be assigned upon dataset upload, meaning that project-level identifiers as well as per-image DOIs are created. Note that this reference implementation is for illustration purposes. It is expected that ultimate success of this concept will be through the implementation of these recommendations within existing data hosts, and not through this reference implementation itself.


Countries that developed this resource United States

Created in 2016

Taxonomic range


How to cite this record IAF; Image Attribution Framework Development Repository; DOI:; Last edited: Jan. 8, 2019, 1:26 p.m.; Last accessed: Jan 26 2022 7:43 p.m.

This record is maintained by chaselgrove

Record added: Feb. 5, 2018, 12:30 p.m.
Record updated: April 19, 2018, 1:59 p.m. by The FAIRsharing Team.

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Additional Information


    No tools defined

Access / Retrieve Data


Data Citation in Neuroimaging: Proposed Best Practices for Data Identification and Attribution.

Honor LB,Haselgrove C,Frazier JA,Kennedy DN
Front Neuroinform 2016

View Paper (PubMed) View Publication

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Record Maintainer



Grant Number(s)

  • P41 EB019936 (National Institute of Biomedical Imaging and Bioengineering (NIBIB), USA)

  • R01 MH083320 (National Institute of Mental Health (NIMH), Bethesda, MD, USA)