@article{c1c5777a00e94818a1977c65a40c1043,
title = "Playing Well on the Data FAIRground: Initiatives and Infrastructure in Research Data Management: Initiatives and infrastructure in research data management",
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.",
keywords = "Data citation, Data sharing, Open data, Open research",
author = "Danielle Descoteaux and Chiara Farinelli and \{E Silva\}, \{Marina Soares\} and \{de Waard\}, Anita",
note = "Funding Information: The authors wish to thank and acknowledge IJsbrand Jan Aalbersberg (Senior Vice President Elsevier Research Integrity), Catriona Fennell (Director Elsevier Journal Services), and Adriaan Klinkenberg (Publishing Director, Elsevier Physics Journals) for their extended review of the manuscript. The authors also thank Maxim van Gisbergen (Senior Strategy Manager), Alberto Zigoni (Market Development Director, Research Data Management), Deborah Sweet (Vice President of Editorial at Cell Press), Lorenzo Feri (Director of Product Management) and Wouter Haak (Vice President, Research Data Management) for discussions on, among other topic relevant to this manuscript, the analytics regarding research data metrics at Elsevier. Publisher Copyright: {\textcopyright} 2019 Chinese Academy of Sciences Published under a Creative Commons Attribution 4.0 International (CC BY 4.0)",
year = "2019",
month = sep,
day = "1",
doi = "10.1162/dint\_a\_00020",
language = "Ingl{\'e}s",
volume = "1",
pages = "350--367",
journal = "Data Intelligence",
issn = "2096-7004",
publisher = "Science Press",
number = "4",
}