Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data
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
Identifiers and access
- DOI
- 10.1007/s12021-021-09557-0
- PubMed
- 35061216
- PMC
- PMC9300762
- Open-access copy →
- Cited by
- 42
Key findings
This perspective calls for stronger international coordination — through bodies like INCF — to make neuroscience data FAIR, framing the current lack of standards as the chief barrier to interoperable and reusable multimodal, multiscale research outputs.
Abstract
Source: pubmed
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.
Topics
- open-data-standards
- reproducibility-tooling
Lab authors
This record was curated from the lab's CV, NCBI MyBibliography, and OpenAlex. See PROJECTS.md for how to add or correct an entry via a pull request.