학술논문
Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data.
Document Type
article
Author
Poline, Jean-Baptiste; Kennedy, David N; Sommer, Friedrich T; Ascoli, Giorgio A; Van Essen, David C; Ferguson, Adam R; Grethe, Jeffrey S; Hawrylycz, Michael J; Thompson, Paul M; Poldrack, Russell A; Ghosh, Satrajit S; Keator, David B; Athey, Thomas L; Vogelstein, Joshua T; Mayberg, Helen S; Martone, Maryann E
Source
Neuroinformatics. 20(2)
Subject
Language
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.