The Mendeley Data Management Platform: Research Data Management From A Publisher's Perspective

Abstract

Introduction In its roles as both a publisher and an information analytics company, Elsevier is committed to contributing to ecosystems that support rigorous and reproducible research data creation throughout the research workflow, making data accessible, discoverable and reusable. Moving beyond content delivery, the overall goal of our Research Data 1 Management efforts is to develop knowledge management tools and solutions to support researchers, librarians, universities and government agencies in managing, sharing and measuring a rich variety of research outputs. Throughout our publishing and analytics tools and workflows, we aim to support researchers with tools and practices to improve exposure and access to their full research cycle, to augment the quality, transparency and impact of research and scholarship. This position paper describes some research underlying our current research and development efforts, and touches on the principles and practice of our tool suite. 1. Elsevier Research Data Principles Elsevier actively participates in a number of community efforts, industry initiatives and standards and policy bodies to support more effective discovery, use and reuse of research data, including: • Co-­‐authorship of the Brussels Declaration 1 , in collaboration with the STM Association 2 ; • Cofounding, codevelopment and full implementation of 3 the ORCID 4 researcher ID System; • Strong support for and co-­‐authorship of the FAIR Data Principles 5 , stating that data should be Findable, Accessible, Interoperable and Reusable;