Journal
NEUROINFORMATICS
Volume 21, Issue 2, Pages 243-246Publisher
HUMANA PRESS INC
DOI: 10.1007/s12021-023-09621-x
Keywords
Data sharing; FAIR; Cost; Long-term archiving
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FAIR data sharing aims to achieve access to research data at any time, but the sustainability of maintaining all datasets for rapid access is questioned. This article addresses the issue of cold data storage: when to archive data for offline storage, how to maintain FAIR principles while archiving, and who should be responsible for cold archiving and long-term preservation.
Accessing research data at any time is what FAIR (Findable Accessible Interoperable Reusable) data sharing aims to achieve at scale. Yet, we argue that it is not sustainable to keep accumulating and maintaining all datasets for rapid access, considering the monetary and ecological cost of maintaining repositories. Here, we address the issue of cold data storage: when to dispose of data for offline storage, how can this be done while maintaining FAIR principles and who should be responsible for cold archiving and long-term preservation.
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