Björn Schembera

Björn Schembera

High Performance Computing Center Stuttgart (HLRS)
Nobelstr. 19
70569 Stuttgart
Germany

Department

Telefon

+49 (0) 711 / 685-87204

Fax

+49 (0) 711 / 685-87209

Email

Functions

  • Research Data Management
  • HPSS

Projects

  • SDC4Lit

Scientific Interests

  • Distributed Systems
  • Research Data Management
  • Dark Data
  • Information Technology and Society
  • Philosophy of Computer Simulation

Talks

  • ExtractIng - Automated Metadata Extraction for Computational Engineering Applications
    and High-Performance Computing. Special Intrest Group Data Infrastructures University of Stuttgart, Stuttgart, 5.2.2020 (invited)
  • Of Hawks and Dark Data. HPSS User Forum 2019, Bloomington, Indiana, USA, 16.10.2019
  • The Dark Side of Data Management, 18th HLRS/hww Workshop on Scalable Global Parallel File Systems, Stuttgart, Germany, 10.4.2019 (invited)
  • Vorhandene FDM-Dienste und Tools an der Universität Stuttgart, Universität Stuttgart, 20.3.2019
  • Forschungsdatenmanagement in den computergestützten Ingenieurwissenschaften am HLRS. Deutsches Klimarechenzentrum, Hamburg. 18.2.2019 (invited)
  • The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering, MTSR 2018,  Limassol, Cyprus, 25.10.2018
  • HLRS Data Management Changes,  Exeter, UK, 16.10.2018
  • How Filesystems can improve Research Data Management for HPC, 17th HLRS/hww Workshop on Scalable Global Parallel File Systems, Stuttgart, Germany, 18.4.2018 (invited)
  • Anforderungen der Ingenieurwissenschaften an ein institutionelles Forschungsdatenrepositorium der Universität Stuttgart (mit Dorothea Iglezakis (UB Stuttgart)), Workshop, 8. DINI/nestor-Workshop "Forschungsdatenrepositorien",  Stuttgart, 27.11.2017
  • Challenges of Research Data Management for High Performance Computing, TPDL2017, Thessaloniki, Greece, 19.9.2017
  • Bestehende Arbeiten zum FDM am HLRS, Workshop FDM, UB Stuttgart, Stuttgart, 3.7.2017
  • Challenges of Research Data Management for HPC, Workshop Scientific Practice of Big Data, Stuttgart, Germany, 29.11.2016
  • HLRS Data Management Evolution, HPSS User Forum 2016, New York City, New York, USA, 1.9.2016
  • Petabyte-Datenmanagement und Verteilte Langzeit-Archivierung, High Performance Computing Workshop 2015, Leogang, Austria, 01.03.2015 - 04.03.2015 (invited)
  • HLRS Site Presentation, HPSS User Forum 2014, München, Germany, 28.10.2014
  • HLRS Site Presentation, HPSS User Forum 2013, Boulder, Colorado, USA, 6.11.2013

Publications

[2020] [2019] [2018] [2017] [2016] [2015] [2011]

2020 [ nach oben ]

  • Hermann, S., Schneider, M., Flemisch, B., Frey, S., Iglezakis, D., Ruf, M., Schembera, B., Seeland, A., Steeb, H.: Datenmanagement im SFB 1313. Bausteine Forschungsdatenmanagement. 28--38 (2020).
     
  • Bach, F., Schembera, B., van Wezel, J.: Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany. International Journal of Digital Curation. 15, (2020).
     
  • Schembera, B., Iglezakis, D.: EngMeta -- Metadata for Computational Engineering. International Journal of Metadata, Semantics and Ontologies. 14, 26-38 (2020).
     
  • Selent, B., Kraus, H., Hansen, N., Schembera, B., Seeland, A., Iglezakis, D.: Management of Research Data in Computational Fluid Dynamics and Thermodynamics. Proceedings of E-Science-Tage 2019: Data to Knowledge. (2020).
     
  • Horsch, M.T., Chiacchiera, S., Seaton, M.A., Todorov, I.T., Schembera, B., Klein, P., Konchakova, N.: Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions. (2020).
     
  • Horsch, M.T., Chiacchiera, S., Seaton, M.A., Todorov, I.T., Schembera, B., Konchakova, N., Klein, P.: Reliable and interoperable computational molecular engineering: 1. Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions. Molecular and Mesoscopic Modelling in Chemical Engineering Data Science. (2020).
     

2019 [ nach oben ]

  • Schembera, B., Durán, J.M.: Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer. Philosophy & Technology. (2019).
     
  • Schembera, B., Iglezakis, D.: The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering. In: Garoufallou, E., Sartori, F., Siatri, R., und Zervas, M. (Hrsg.) Metadata and Semantic Research. S. 127-132. Metadata and Semantic Research, Cham (2019).
     

2018 [ nach oben ]

  • Iglezakis, D., Schembera, B.: Anforderungen der Ingenieurwissenschaften an das Forschungsdatenmanagement der Universität Stuttgart - Ergebnisse der Bedarfsanalyse des Projektes DIPL-ING. o-bib. Das offene Bibliotheksjournal. 3, (2018).
     

2017 [ nach oben ]

  • Schembera, B., Bönisch, T.: Challenges of Research Data Management for High Performance Computing. International Conference on Theory and Practice of Digital Libraries. S. 140--151. International Conference on Theory and Practice of Digital Libraries (2017).
     
  • Schembera, B.: Myths of Simulation. The Science and Art of Simulation I. S. 51--63. The Science and Art of Simulation I (2017).
     
  • Skvortsov, P., Schembera, B., Dürr, F., Rothermel, K.: Optimized Secure Position Sharing with Non-trusted Servers. arXiv.org. 1-26 (2017).
     

2016 [ nach oben ]

  • Kaminski, A., Schembera, B., Resch, M., Küster, U.: Simulation als List. Jahrbuch Technikphilosophie. 2, 93–121 (2016).
     

2015 [ nach oben ]

  • van Wezel, J., Hammad, A., Krauß, P., Kurze, T., Meyer, J., Potthoff, J., Schembera, B.: Towards an Interoperable Data Archive. Gehalten auf der (2015).
     

2011 [ nach oben ]

  • Schembera, B.: Platzierungsoptimierung für vertrauliche Verwaltung der verteilten Positionsinformationenftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-3102/DIP-3102.pdf (2011).