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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/224312a954079a07a4488cc88392ef995/diglezakis",         
         "tags" : [
            "forschungsdaten","metadata","management","data","simulation","obib","hpc"
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         "intraHash" : "24312a954079a07a4488cc88392ef995",
         "interHash" : "da85dbed0522ad7ae1cad483bacb645e",
         "label" : "Challenges of Research Data Management for High Performance Computing",
         "user" : "diglezakis",
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         "date" : "2018-02-16 09:39:19",
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         "pub-type": "inproceedings",
         "booktitle": "International Conference on Theory and Practice of Digital Libraries",
         "year": "2017", 
         "url": "https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12", 
         
         "author": [ 
            "Björn Schembera","Thomas Bönisch"
         ],
         "authors": [
         	
            	{"first" : "Björn",	"last" : "Schembera"},
            	{"first" : "Thomas",	"last" : "Bönisch"}
         ],
         "pages": "140--151","abstract": "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\u2019s data management and taking stewardship of the data.",
         "bibtexKey": "schembera2017challenges"

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