https://puma.ub.uni-stuttgart.de/group/researchcode/data%20simulationPUMA RSS feed for /group/researchcode/data%20simulation2026-04-16T16:48:33+02:00https://puma.ub.uni-stuttgart.de/bibtex/224312a954079a07a4488cc88392ef995/diglezakisdiglezakis2018-02-16T09:39:19+01:00forschungsdaten metadata management data simulation obib hpc <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Björn Schembera" itemprop="url" href="/person/1da85dbed0522ad7ae1cad483bacb645e/author/0"><span itemprop="name">B. Schembera</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Thomas Bönisch" itemprop="url" href="/person/1da85dbed0522ad7ae1cad483bacb645e/author/1"><span itemprop="name">T. Bönisch</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">International Conference on Theory and Practice of Digital Libraries</span>, </em></span><em>page <span itemprop="pagination">140--151</span>. </em><em>Springer, </em>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)</span>Fri Feb 16 09:39:19 CET 2018International Conference on Theory and Practice of Digital Libraries140--151Challenges of Research Data Management for High Performance Computing2017forschungsdaten metadata management data simulation obib hpc 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.