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Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data.

Authors :
Poline JB
Kennedy DN
Sommer FT
Ascoli GA
Van Essen DC
Ferguson AR
Grethe JS
Hawrylycz MJ
Thompson PM
Poldrack RA
Ghosh SS
Keator DB
Athey TL
Vogelstein JT
Mayberg HS
Martone ME
Source :
Neuroinformatics [Neuroinformatics] 2022 Apr; Vol. 20 (2), pp. 507-512. Date of Electronic Publication: 2022 Jan 21.
Publication Year :
2022

Abstract

In this perspective article, we consider the critical issue of data and other research object standardisation and, specifically, how international collaboration, and organizations such as the International Neuroinformatics Coordinating Facility (INCF) can encourage that emerging neuroscience data be Findable, Accessible, Interoperable, and Reusable (FAIR). As neuroscientists engaged in the sharing and integration of multi-modal and multiscale data, we see the current insufficiency of standards as a major impediment in the Interoperability and Reusability of research results. We call for increased international collaborative standardisation of neuroscience data to foster integration and efficient reuse of research objects.<br /> (© 2021. The Author(s).)

Subjects

Subjects :
Neurosciences
Data Collection

Details

Language :
English
ISSN :
1559-0089
Volume :
20
Issue :
2
Database :
MEDLINE
Journal :
Neuroinformatics
Publication Type :
Academic Journal
Accession number :
35061216
Full Text :
https://doi.org/10.1007/s12021-021-09557-0