%0 Conference Paper %1 schembera2017challenges %A Schembera, Björn %A Bönisch, Thomas %B International Conference on Theory and Practice of Digital Libraries %D 2017 %K %P 140--151 %T Challenges of Research Data Management for High Performance Computing %U https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12 %X 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.

@inproceedings{schembera2017challenges, 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’s data management and taking stewardship of the data.}, added-at = {2023-08-31T14:19:02.000+0200}, author = {Schembera, Bj{\"o}rn and B{\"o}nisch, Thomas}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/224312a954079a07a4488cc88392ef995/puma-wartung}, booktitle = {International Conference on Theory and Practice of Digital Libraries}, interhash = {da85dbed0522ad7ae1cad483bacb645e}, intrahash = {24312a954079a07a4488cc88392ef995}, keywords = {}, organization = {Springer}, pages = {140--151}, timestamp = {2023-08-31T12:19:02.000+0200}, title = {Challenges of Research Data Management for High Performance Computing}, url = {https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12}, year = 2017 }