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Bringing Structure to Research Data Management Through a Pervasive, Scalable and Sustainable Research Data Infrastructure

  • Raimund VoglEmail author
  • Dominik Rudolph
  • Anne Thoring
Chapter

Abstract

One of the key fields of digitalization at universities is the management of an ever increasing amount of digital research data. Based on several surveys amongst researchers, demands and knowledgeability on the subject are varying widely. Services for research data management and underlying infrastructures are called for and are a currently very actively discussed subject. To create demand oriented, future proof, scalable and financially and operationally sustainable infrastructures and services, a structured approach to demand assessment and infrastructure architecture is key. Based on user surveys and conceptual (technical) design workshops of university IT infrastructure providers starting in 2016, a consortium of five universities in North Rhine-Westphalia (NRW) has formed to pursue together an open source and joint operations approach for creating a multisite integrated storage and compute platform (primarily using open source/freeware community standards Ceph and OpenStack) as a research data infrastructure, providing the operational basis for the actual research data services and software (envisioned to be containerized or virtualized appliances). A joint funding proposal, set in the context of the German National Research Data Infrastructure Initiative (NFDI) has been submitted, aiming at the creation of this 33 Petabyte storage and 4,500 CPU core compute environment, with the joint operations team already having been formed. Additionally, tools for data management and curation shall be made available on this infrastructure. The development of these tools is progressing under the project title sciebo. RDS (Research Data Services), which aims at adding research data management workflows to the well-established sciebo sync and share cloud storage platform, which is already widely used for collaboration on research data and will, in the future, also be operated in an OpenStack/Ceph setting. With DFG providing funding for this development, the aim is for a wider adoption of these tools in the German research community. Workpackages within this project for empiric analysis of user demands have been designed to ensure that these research data services will find users beyond the project partners’ institutions.

Keywords

Research data management Cloud computing Open source 

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University of MünsterMünsterGermany

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