Research data management at Elsevier: Supporting networks of data and workflows

Research output: Contribution to conferencePaperpeer-review


Sharing research data has the potential to make research more reproducible and efficient. Scientific research is a complex process and it is crucial that at the different stages of this process, researchers handle data in a way that will allow sharing and reuse. In this paper, we present a framework for the different steps involved in managing research data: a hierarchy of research data needs, and describe some of our own ongoing efforts to support these needs. Creating a good data ecosystem that supports each of these data needs requires collaboration between all parties that are involved in the generation, storage, retrieval and use of data: researchers, librarians, institutions, government offices, funders, and also publishers. We are actively collaborating with many other participants in the research data field, to develop a data ecosystem that enables data to be more useful, and reusable, throughout science and the humanities.
Original languageAmerican English
Number of pages7
StatePublished - Sep 1 2016


  • Research data
  • data reuse
  • data sharing
  • open data
  • reproducibility
  • research data management
  • research integrity
  • scholarly publishing
  • transparency


Dive into the research topics of 'Research data management at Elsevier: Supporting networks of data and workflows'. Together they form a unique fingerprint.

Cite this