This image shows Björn Schembera

Björn Schembera

Dr.-Ing.

Research assistant
Institute of Applied Analysis and Numerical Simulation
Chair Computational Mathematics for Complex Simulation in Science and Engineering

Contact

+49 711 685 60137
+4971168552022

Allmandring 5b
70569 Stuttgart
Deutschland
Room: 0.39

Office Hours

by appointment

Subject

Scientific interest:

  • Distributed Systems
  • Research Data Management
  • Metadata, Semantics, and Ontologies
  • Dark Data
  • Information Technology and Society
  1. 2022

    1. K. Jung, B. Schembera, and M. Gärtner, “Best of Both Worlds? Mapping Process Metadata in Digital Humanities and Computational Engineering,” in Metadata and Semantic Research, Cham, 2022, pp. 199--205. doi: 10.1007/978-3-030-98876-0_17.
    2. S. Schimmler et al., NFDI4Cat: Local and overarching data infrastructures. heiBOOKS, 2022. doi: heibooks.979.c13738.
    3. C.-M. Schlesinger et al., Nicht-lineare Narrative in Netzliteratur: Speicherung und Nachnutzung von Forschungsdaten aus der computergestützten Extraktion von Verweisstrukturen in Hypertexten. heiBOOKS, 2022. doi: heibooks.979.c13727.
  2. 2021

    1. A. Axtmann et al., “Kriterien für die Auswahl einer Softwarelösung für den Betrieb eines Repositoriums für Forschungsdaten,” Bausteine Forschungsdatenmanagement, no. 3, Art. no. 3, Oct. 2021, doi: 10.17192/bfdm.2021.3.8348.
    2. M. T. Horsch, J. F. Morgado, G. Goldbeck, D. Iglezakis, N. A. Konchakova, and B. Schembera, “Domain-specific metadata standardization in materials modelling,” 2021. [Online]. Available: https://openreview.net/forum?id=uYgdGd7_wgH
    3. M. T. Horsch, S. Chiacchiera, W. L. Cavalcanti, and B. Schembera, Data Technology in Materials Modelling. Cham: Springer Nature, 2021. doi: 10.1007/978-3-030-68597-3.
    4. B. Schembera, “Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data,” The Journal of Supercomputing, 2021, doi: https://doi.org/10.1007/s11227-020-03602-6.
  3. 2020

    1. F. Bach, B. Schembera, and J. van Wezel, “Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany,” International Journal of Digital Curation, vol. 15, no. 1, Art. no. 1, 2020, doi: https://doi.org/10.2218/ijdc.v15i1.553.
    2. S. Hermann et al., “Datenmanagement im SFB 1313,” Bausteine Forschungsdatenmanagement, no. 1, Art. no. 1, 2020, [Online]. Available: https://bausteine-fdm.de/article/download/8085/8062
    3. M. T. Horsch et al., “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.
    4. M. T. Horsch et al., “Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions,” 2020, doi: 10.5281/zenodo.3949803.
    5. B. Schembera and D. Iglezakis, “EngMeta -- Metadata for Computational Engineering,” International Journal of Metadata, Semantics and Ontologies, vol. 14, no. 1, Art. no. 1, 2020, [Online]. Available: https://arxiv.org/abs/2005.01637
    6. B. Selent, H. Kraus, N. Hansen, B. Schembera, A. Seeland, and D. Iglezakis, “Management of Research Data in Computational Fluid Dynamics and Thermodynamics,” Proceedings of E-Science-Tage 2019: Data to Knowledge, 2020, doi: https://doi.org/10.11588/heibooks.598.
  4. 2019

    1. B. Schembera, B. Selent, D. Iglezakis, and A. Seeland, “Datenmanagement in Infrastrukturen, Prozessen und Lebenszyklen für die Ingenieurwissenschaften : Abschlussbericht des BMBF-Projektes Dipl-Ing,” Universität Stuttgart;, Stuttgart, 2019. doi: 10.2314/KXP:1693393980.
    2. B. Schembera and D. Iglezakis, “The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering,” in Metadata and Semantic Research, Limassol, Cyprus, 2019, no. 846, pp. 127–132. doi: https://doi.org/10.1007/978-3-030-14401-2_12.
    3. B. Schembera, “Forschungsdatenmanagement im Kontext dunkler Daten in den Simulationswissenschaften,” Publication, Universität Stuttgart, Stuttgart, 2019. doi: 10.18419/opus-11028.
    4. B. Schembera and J. M. Durán, “Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer,” Philosophy & Technology, Mar. 2019, doi: 10.1007/s13347-019-00346-x.
  5. 2018

    1. D. Iglezakis and B. Schembera, “Anforderungen der Ingenieurwissenschaften an das Forschungsdatenmanagement der Universität Stuttgart - Ergebnisse der Bedarfsanalyse des Projektes DIPL-ING,” o-bib. Das offene Bibliotheksjournal, vol. 3, 2018, doi: 10.5282/o-bib/2018H3S46-60.
  6. 2017

    1. B. Schembera, “Myths of Simulation,” in The Science and Art of Simulation I, Springer, 2017, pp. 51--63. [Online]. Available: http://link.springer.com/chapter/10.1007%2F978-3-319-55762-5_5
    2. B. Schembera and T. Bönisch, “Challenges of Research Data Management for High Performance Computing,” in International Conference on Theory and Practice of Digital Libraries, 2017, pp. 140--151. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12
    3. P. Skvortsov, B. Schembera, F. Dürr, and K. Rothermel, “Optimized Secure Position Sharing with Non-trusted Servers,” arXiv.org, pp. 1–26, Feb. 2017, [Online]. Available: https://arxiv.org/abs/1702.08377
  7. 2016

    1. A. Kaminski, B. Schembera, M. Resch, and U. Küster, “Simulation als List,” Jahrbuch Technikphilosophie, vol. 2, pp. 93–121, 2016, [Online]. Available: https://www.diaphanes.net/buch/detail/2474
  8. 2015

    1. J. van Wezel et al., “Towards an Interoperable Data Archive,” 2015.
  9. 2011

    1. B. Schembera, “Platzierungsoptimierung für vertrauliche Verwaltung der verteilten Positionsinformationen,” IPVS, 2011. [Online]. Available: ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-3102/DIP-3102.pdf
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