Challenges of research data management for high performance computing
pp. 140-151
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Abstrakt
This paper targets the challenges of research data management with a focus on High Performance Computing (HPC) and simulation data. Main challenges are discussed: The Big Data qualities of HPC research data, technical data management, organizational and administrative challenges. Emerging from these challenges, requirements for a feasible HPC research data management are derived and an alternative data life cycle is proposed. The requirement analysis includes recommendations which are based on a modified OAIS architecture: To meet the HPC requirements of a scalable system, metadata and data must not be stored together. Metadata keys are defined and organizational actions are recommended. Moreover, this paper contributes by introducing the role of a Scientific Data Manager, who is responsible for the institution's data management and taking stewardship of the data.
Publication details
Published in:
Kamps Jaap, et al. (2017) Research and advanced technology for digital libraries: 21st international conference on theory and practice of digital libraries, TPDL 2017, Thessaloniki, Greece, September 18-21, 2017. Dordrecht, Springer.
Seiten: 140-151
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DOI: 10.1007/978-3-319-67008-9_12
Referenz:
Schembera Björn (2017) „Challenges of research data management for high performance computing“, In: J. Kamps, G. Tsakonas, Y. Manolopoulos, L. Iliadis & I. Karydis (eds.), Research and advanced technology for digital libraries, Dordrecht, Springer, 140–151.