How to Improve Research Data Management

The Case of Sciebo (Science Box)
  • Konstantin Wilms
  • Christian Meske
  • Stefan Stieglitz
  • Dominik Rudolph
  • Raimund Vogl
Conference paper

DOI: 10.1007/978-3-319-40397-7_41

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9735)
Cite this paper as:
Wilms K., Meske C., Stieglitz S., Rudolph D., Vogl R. (2016) How to Improve Research Data Management. In: Yamamoto S. (eds) Human Interface and the Management of Information: Applications and Services. HIMI 2016. Lecture Notes in Computer Science, vol 9735. Springer, Cham

Abstract

The digitalization of research processes has led to a vast amount of data. Since third-party funding institutions progressively set standards and requirements regarding the handling of such data, research data management has become important in the context of international research collaboration projects. Simultaneously, adequate collaboration systems are needed to support scientists in this context. In this paper we discuss existing standards for research data management in the context of third-party funding and how cloud technology could support the fulfillment of existing provisions.

Keywords

Cloud computing Usability Research data management Technology adoption 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Konstantin Wilms
    • 1
  • Christian Meske
    • 1
  • Stefan Stieglitz
    • 1
  • Dominik Rudolph
    • 2
  • Raimund Vogl
    • 2
  1. 1.Department of Computer Science and Applied Cognitive ScienceUniversity of Duisburg-EssenEssenGermany
  2. 2.ZIV-Centre for Applied Information TechnologyUniversity of MuensterMünsterGermany

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