Abstract
Over the past five years, Elsevier has focused on implementing FAIR and best practices in data management, from data preservation through reuse. In this paper we describe a series of efforts undertaken in this time to support proper data management practices. In particular, we discuss our journal data policies and their implementation, the current status and future goals for the research data management platform Mendeley Data, and clear and persistent linkages to individual data sets stored on external data repositories from corresponding published papers through partnership with Scholix. Early analysis of our data policies implementation confirms significant disparities at the subject level regarding data sharing practices, with most uptake within disciplines of Physical Sciences. Future directions at Elsevier include implementing better discoverability of linked data within an article and incorporating research data usage metrics.
Highlights
AND MOTIVATIONThe FAIR Data Principles argue that standardized data management is “the key conduit leading to knowledge discovery and innovation” [1]
We discuss our journal data policies and their implementation, the current status and future goals for the research data management platform Mendeley Data, and clear and persistent linkages to individual data sets stored on external data repositories from corresponding published papers through partnership with Scholix
Our two main editorial platforms, EVISE and EES, were updated so that authors at point of submission could comply with the policies by providing either the DOI, PID, or accession number of their underlying data already stored on an repository, or by uploading data directly to Mendeley Data as a co-submission, or providing the Research Data Availability statement directly with their article submission
Summary
The FAIR (findable, accessible, interoperable and reusable) Data Principles argue that standardized data management is “the key conduit leading to knowledge discovery and innovation” [1]. In the Earth and Space Sciences, a coalition of groups representing the international science community was convened by the American Geophysical Union (AGU), to develop standards to connect researchers, publishers and data repositories in these disciplines to enable FAIR data [4] Despite these ambitious goals, research data management practices are still heterogeneous both geographically and across different areas of research. Manuscript submission, which prompts authors to provide information about their research, is a natural moment to bring research data together with an article: to require and enable data sharing, allow data annotation and connect RDM tools and standards to the publishing workflow Creating these pathways to open data enables the raw data and the paper to be linked together, without extraneous and new workflows for researchers. We discuss the implications of these efforts, and some thoughts on moving forward with this important challenge
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