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Schembera , Björn

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
+49 711 685 52022
Email

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

Publications

2023
1. M. Brennenstuhl, R. Otto, B. Schembera, and U. Eicker, “Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings,” 2023. [Online]. Available: https://www.researchsquare.com/article/rs-3677621/latest.pdf
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  @preprint{brennenstuhl2023optimized, abstract = {In Germany, renewable energy sources play a crucial role in electricity generation, with wind and photovoltaic (PV) leading the way. In 2022, large wind turbines contributed 24.1% of the electricity generated, while PV accounted for 10.6%. Contrary, small wind power holds a marginal share of less than 0.01%. This is unfortunate as the decentralized nature of small wind power at low-voltage grid level offers benefits like reducing the need for grid expansion or infrastructure upgrades. Although small wind power currently suits locations with favorable wind potential, changing factors such as rising electricity prices, falling battery storage costs, and growing electrification in heating and transport could create new opportunities. Within this work a residential energy supply system consisting of small wind turbine, PV, heat pump, battery storage, and electric vehicle was dimensioned for different sites in Germany and Canada based on detailed simulation models and genetic algorithms. This was carried out for various economic framework conditions. Results indicate that with electricity purchase costs above 0.42€/kWh, combined with a 25% reduction in small wind turbine and battery storage investment expenses, economic viability could be significantly enhanced. This might expand the applicability of small wind power to diverse sites.}, author = {Brennenstuhl, Marcus and Otto, Robert and Schembera, Bj{\"o}rn and Eicker, Ursula}, title = {Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and PV Power Systems for Residential Buildings}, url = {https://www.researchsquare.com/article/rs-3677621/latest.pdf}, year = 2023 }
  Link
  https://www.researchsquare.com/article/rs-3677621/latest.pdf
2. M. T. Horsch, B. Schembera, and H. A. Preisig, “European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling,” in Proc. ICAPAI, in Proc. ICAPAI. 2023. [Online]. Available: https://www.researchgate.net/profile/Martin-Horsch/publication/370285356_European_standardization_efforts_from_FAIR_toward_explainable-AI-ready_data_documentation_in_materials_modelling/links/644934045762c95ac3528653/European-standardization-efforts-from-FAIR-toward-explainable-AI-ready-data-documentation-in-materials-modelling.pdf
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  @inproceedings{horsch2023european, author = {Horsch, Martin Thomas and Schembera, Bj{\"o}rn and Preisig, Heinz A}, journal = {Proc. ICAPAI}, title = {European standardization efforts from FAIR toward explainable-AI-ready data documentation in materials modelling}, url = {https://www.researchgate.net/profile/Martin-Horsch/publication/370285356_European_standardization_efforts_from_FAIR_toward_explainable-AI-ready_data_documentation_in_materials_modelling/links/644934045762c95ac3528653/European-standardization-efforts-from-FAIR-toward-explainable-AI-ready-data-documentation-in-materials-modelling.pdf}, year = 2023 }
  Link
  https://www.researchgate.net/profile/Martin-Horsch/publication/370285356_European_standardization_efforts_from_FAIR_toward_explainable-AI-ready_data_documentation_in_materials_modelling/links/644934045762c95ac3528653/European-standardization-efforts-from-FAIR-toward-explainable-AI-ready-data-documentation-in-materials-modelling.pdf
3. B. Schembera, “Die im Dunklen sieht man doch,” in Faktor Mensch, in Faktor Mensch. , Nomos Verlagsgesellschaft mbH & Co. KG, 2023, pp. 249--249. doi: https://doi.org/10.5771/9783748941767.
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  @incollection{schembera2023dunklen, author = {Schembera, Björn}, booktitle = {Faktor Mensch}, doi = {https://doi.org/10.5771/9783748941767}, organization = {Nomos Verlagsgesellschaft mbH \& Co. KG}, pages = {249--249}, title = {Die im Dunklen sieht man doch}, url = {https://www.nomos-elibrary.de/10.5771/9783748941767/faktor-mensch}, year = 2023 }
  Link
  https://www.nomos-elibrary.de/10.5771/9783748941767/faktor-mensch
4. B. Schembera, C. Riethmüller, and D. Göddeke, “Enabling FAIR Data in Computational Science, Engineering and Mathematics through Knowledge Graphs.” 2023. [Online]. Available: https://www.simtech2023.uni-stuttgart.de/documents/Theme-4/Schembera-Bjoern.pdf
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  @presentation{schemberaenabling, author = {Schembera, Bj{\"o}rn and Riethm{\"u}ller, Cedric and G{\"o}ddeke, Dominik}, eventtitle = {Simtech 2023}, title = {Enabling FAIR Data in Computational Science, Engineering and Mathematics through Knowledge Graphs}, url = {https://www.simtech2023.uni-stuttgart.de/documents/Theme-4/Schembera-Bjoern.pdf}, venue = {University of Stuttgart}, year = 2023 }
  Link
  https://www.simtech2023.uni-stuttgart.de/documents/Theme-4/Schembera-Bjoern.pdf
5. B. Schembera et al., “Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines.” 2023. [Online]. Available: https://arxiv.org/abs/2310.20443
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  @misc{schembera2023ontologies, archiveprefix = {arXiv}, author = {Schembera, Björn and Wübbeling, Frank and Kleikamp, Hendrik and Biedinger, Christine and Fiedler, Jochen and Reidelbach, Marco and Shehu, Aurela and Schmidt, Burkhard and Koprucki, Thomas and Iglezakis, Dorothea and Göddeke, Dominik}, eprint = {2310.20443}, primaryclass = {cs.AI}, title = {Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines}, url = {https://arxiv.org/abs/2310.20443}, year = 2023 }
  Link
  https://arxiv.org/abs/2310.20443
6. B. Schembera et al., “Building Ontologies and Knowledge Graphs for Mathematics and its Applications,” in Proceedings of the Conference on Research Data Infrastructure, in Proceedings of the Conference on Research Data Infrastructure, vol. 1. 2023. doi: 10.52825/cordi.v1i.255.
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  @inproceedings{schembera2023building, abstract = {Ontologies and knowledge graphs for mathematical algorithms and models are presented, that have been developed by the Mathematical Research Data Initiative. This enables FAIR data handling in mathematics and the applied disciplines. Moreover, challenges of harmonization during the ontology development are discussed.}, author = {Schembera, Björn and Wübbeling, Frank and Koprucki, Thomas and Biedinger, Christine and Reidelbach, Marco and Schmidt, Burkhard and G{\"o}ddeke, Dominik and Fiedler, Jochen}, booktitle = {Proceedings of the Conference on Research Data Infrastructure}, doi = {10.52825/cordi.v1i.255}, eventtitle = {1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities}, title = {Building Ontologies and Knowledge Graphs for Mathematics and its Applications}, url = {https://www.tib-op.org/ojs/index.php/CoRDI/article/download/255/479}, venue = {Karlsruhe Institute of Technology}, volume = 1, year = 2023 }
  Link
  https://www.tib-op.org/ojs/index.php/CoRDI/article/download/255/479
2022
1. T. Boege et al., “Research-Data Management Planning in the German Mathematical Community.” arXiv, 2022. doi: 10.48550/ARXIV.2211.12071.
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  @misc{https://doi.org/10.48550/arxiv.2211.12071, author = {Boege, Tobias and Fritze, René and Görgen, Christiane and Hanselman, Jeroen and Iglezakis, Dorothea and Kastner, Lars and Koprucki, Thomas and Krause, Tabea and Lehrenfeld, Christoph and Polla, Silvia and Reidelbach, Marco and Riedel, Christian and Saak, Jens and Schembera, Björn and Tabelow, Karsten and Weber, Marcus}, copyright = {Creative Commons Attribution Share Alike 4.0 International}, doi = {10.48550/ARXIV.2211.12071}, publisher = {arXiv}, title = {Research-Data Management Planning in the German Mathematical Community}, url = {https://arxiv.org/abs/2211.12071}, year = 2022 }
  Link
  https://arxiv.org/abs/2211.12071
2. M. Horsch et al., “Interoperability and Architecture Requirements Analysis and Metadata Standardization for a Research Data Infrastructure in Catalysis,” in Data Analytics and Management in Data Intensive Domains, A. Pozanenko, S. Stupnikov, B. Thalheim, E. Mendez, and N. Kiselyova, Eds., in Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2022, pp. 166--177.
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  @inproceedings{10.1007/978-3-031-12285-9_10, abstract = {The National Research Data Infrastructure for Catalysis-Related Sciences (NFDI4Cat) is one of the disciplinary consortia formed within the German national research data infrastructure (NFDI), an effort undertaken by the German federal and state governments to advance the digitalization of all scientific research data within the German academic system in accordance with the FAIR principles. This work reports on initial outcomes from the NFDI4Cat project. The data value chain in catalysis research is analysed, and architecture and interoperability requirements are identified by conducting user interviews, collecting competency questions, and exploring the landscape of semantic artefacts. Methods from agile software development are employed to collect, organize, and present the collected requirements; workflows are annotated on the basis of metadata standards for research data provenance, by which requirements for domain ontologies in catalysis are deduced.}, address = {Cham}, author = {Horsch, Martin and Petrenko, Taras and Kushnarenko, Volodymyr and Schembera, Bjoern and Wentzel, Bianca and Behr, Alexander and Kockmann, Norbert and Schimmler, Sonja and B{\"o}nisch, Thomas}, booktitle = {Data Analytics and Management in Data Intensive Domains}, editor = {Pozanenko, Alexei and Stupnikov, Sergey and Thalheim, Bernhard and Mendez, Eva and Kiselyova, Nadezhda}, isbn = {978-3-031-12285-9}, pages = {166--177}, publisher = {Springer International Publishing}, title = {Interoperability and Architecture Requirements Analysis and Metadata Standardization for a Research Data Infrastructure in Catalysis}, year = 2022 }
3. M. T. Horsch and B. Schembera, “Documentation of epistemic metadata by a mid-level ontology of cognitive processes,” in Proc. JOWO 2022, in Proc. JOWO 2022. 2022.
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  @inproceedings{horsch2022documentation, author = {Horsch, Martin Thomas and Schembera, Bj{\"o}rn}, journal = {Proc. JOWO 2022}, title = {Documentation of epistemic metadata by a mid-level ontology of cognitive processes}, year = 2022 }
4. 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, E. Garoufallou, M.-A. Ovalle-Perandones, and A. Vlachidis, Eds., in Metadata and Semantic Research. Cham: Springer International Publishing, 2022, pp. 199--205. doi: 10.1007/978-3-030-98876-0_17.
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  @inproceedings{10.1007/978-3-030-98876-0_17, abstract = {Process metadata constitute a relevant part of the documentation of research processes and the creation and use of research data. As an addition to publications on the research question, they capture details needed for reusability and comparability and are thus important for a sustainable handling of research data. In the DH project SDC4Lit we want to capture process metadata when researchers work with literary material, conducting manual and automatic processing steps, which need to be treated with equal emphasis. We present a content-related mapping between two process metadata schemas from the area of Digital Humanities (GRAIN, RePlay-DH) and one from Computational Engineering (EngMeta) and find that there are no basic obstacles preventing the use of any of them for our purposes. Actually a basic difference rather exists between GRAIN on the one hand and RePlay-DH and EngMeta on the other, regarding the treatment of tools and actors in a workflow step.}, address = {Cham}, author = {Jung, Kerstin and Schembera, Bj{\"o}rn and G{\"a}rtner, Markus}, booktitle = {Metadata and Semantic Research}, doi = {10.1007/978-3-030-98876-0_17}, editor = {Garoufallou, Emmanouel and Ovalle-Perandones, Mar{\'i}a-Antonia and Vlachidis, Andreas}, isbn = {978-3-030-98876-0}, pages = {199--205}, publisher = {Springer International Publishing}, title = {Best of Both Worlds? Mapping Process Metadata in Digital Humanities and Computational Engineering}, url = {https://link.springer.com/chapter/10.1007/978-3-030-98876-0_17}, year = 2022 }
  Link
  https://link.springer.com/chapter/10.1007/978-3-030-98876-0_17
5. S. Schimmler et al., NFDI4Cat: Local and overarching data infrastructures. in E-Science-Tage 2021: Share Your Research Data. heiBOOKS, 2022. doi: heibooks.979.c13738.
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  @proceedings{schimmler2022nfdi4cat, abstract = {The NFDI is a German national initiative that aims to develop repositories, tools, standards, and best practices for research data management across all scientific disciplines. Until 2022, approximately 30 consortia will be formed under the umbrella of the NFDI e.V. association. NFDI for Catalysis-Related Sciences (NFDI4Cat) is one of these consortia, which targets research data management for catalysis-related sciences, a field that is of strategic importance for the economy and the society as a whole. In this paper, we give a brief overview of the consortium and introduce its planned local and overarching data infrastructures. We further describe our approach for requirements analysis, and provide some first insights on our findings. }, author = {Schimmler, Sonja and Bönisch, Thomas and Horsch, Martin Thomas and Petrenko, Taras and Schembera, Björn and Kushnarenko, Volodymyr and Wentzel, Bianca and Kirstein, Fabian and Viemann, Harald and Holeňa, Martin and Linke, David}, doi = {heibooks.979.c13738}, editor = {Heuveline, Vincent and Bisheh, Nina}, eventdate = {2021}, eventtitle = {E-Science-Tage 2021: Share Your Research Data}, publisher = {heiBOOKS}, series = {E-Science-Tage 2021: Share Your Research Data}, title = {NFDI4Cat: Local and overarching data infrastructures}, url = {https://doi.org/10.11588/heibooks.979.c13738}, venue = {Universität Heidelberg}, year = 2022 }
  Link
  https://doi.org/10.11588/heibooks.979.c13738
6. C.-M. Schlesinger et al., Nicht-lineare Narrative in Netzliteratur: Speicherung und Nachnutzung von Forschungsdaten aus der computergestützten Extraktion von Verweisstrukturen in Hypertexten. in E-Science-Tage 2021: Share Your Research Data,. heiBOOKS, 2022. doi: heibooks.979.c13727.
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  @proceedings{schlesinger2022nichtlineare, abstract = {Das Forschungs- und Infrastrukturprojekt Science Data Center for Literature entwickelt und implementiert ein Repository für born-digital-Bestände am Deutschen Literaturarchiv Marbach (DLA) und ein zugehöriges Portal mit Forschungsumgebung. Wir beschreiben einen exemplarischen Forschungsansatz zur Analyse nicht-linearer Strukturen in Netzliteratur, das Teilkorpus “Literatur im Netz” am Deutschen Literaturarchiv (Entwicklungsgrundlage), das Softwaremodul Warc2graph zur Extraktion von Verweisstrukturen aus den archivierten Objekten, die konzipierte Architektur der Plattform für SDC4Lit als Zielumgebung für das Modul sowie weitere Nachnutzungsmöglichkeiten. }, author = {Schlesinger, Claus-Michael and Ulrich, Mona and Hein, Pascal and Blessing, André and Buck, Nina and Schembera, Björn and Kushnarenko, Volodymyr and Ganzenmüller, Andreas and Kiss, Lisa and Horvat, Julia and Nedostup, Oksana}, doi = {heibooks.979.c13727}, editor = {Heuveline, Vincent and Bisheh, Nina}, eventdate = {2021}, eventtitle = {E-Science-Tage 2021}, publisher = {heiBOOKS}, series = {E-Science-Tage 2021: Share Your Research Data,}, title = {Nicht-lineare Narrative in Netzliteratur: Speicherung und Nachnutzung von Forschungsdaten aus der computergestützten Extraktion von Verweisstrukturen in Hypertexten}, url = {https://doi.org/10.11588/heibooks.979.c13727}, venue = {Universität Heidelberg}, year = 2022 }
  Link
  https://doi.org/10.11588/heibooks.979.c13727
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.
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  @article{axtmann2021kriterien, abstract = {Die öffentliche Bereitstellung von Forschungsdaten zur Nachnutzung im Sinne von Open Science ist Bestandteil des Lebenszyklus von Forschungsdaten und erlangt zunehmende Relevanz. Eine zitierbare Veröffentlichung dieser Daten zeugt von einer transparenten Forschung, belegt die Forschungsleistung eines Forschenden sowie der jeweiligen Einrichtung und macht Forschung reproduzierbar und damit überprüfbar. Forschungsförderer erwarten bereits bei der Antragstellung die Dokumentation und Planung eines umsichtigen und nachhaltigen Umgangs mit Forschungsdaten, bspw. in Form eines Datenmanagementplans, der unter anderem Angaben zu geplanten Lizenzen für Forschungsdaten, Rechten an Daten etc. enthält. Die Umsetzung des Datenmanagementplans ist ein kontinuierlicher Prozess im Laufe eines Projekts und nicht auf eine Datenveröffentlichung zum Projektende hin beschränkt. Der Umgang mit Forschungsdaten wird unter anderem in den Richtlinien Guter Wissenschaftlicher Praxis1, den Open-Access-Policies von Hochschulen, Forschungsinstituten und Forschungsförderern sowie in den “Data Policies” von Zeitschriften adressiert. Repositorien bilden das technische Grundgerüst für das Forschungsdatenmanagement, da sie den gesamten Prozess von der Übernahme über die Qualitätskontrolle bis hin zur zitierfähigen Veröffentlichung unterstützen. Softwarelösungen für Repositorien sind für unterschiedliche Zwecke und Einsatzszenarien verfügbar. Zu den verbreitetsten zählen beispielsweise Fedora, DSpace, MyCoRe, Islandora, EPrints, Dataverse, Rosetta, Archivematica und Invenio. Die Bestimmung von Kriterien für die Auswahl eines Repositoriums ist nicht trivial und es müssen neben Aspekten der Wirtschaftlichkeit, Skalierbarkeit und Funktionalität noch weitere Kriterien wie die Dokumentation, Verbreitung, Entwicklungsperspektive sowie das Daten- und Lizenzmodell berücksichtigt werden. Der Aufwand für die Erarbeitung eines Kriterienkatalogs darf nicht unterschätzt werden. Im Folgenden bezeichnet Repositorium eine Softwarelösung, die - eingebettet in eine Organisationsstruktur und gegebenenfalls im Kontext weiterer Systeme - Forschungsdaten übernimmt, verwaltet und publiziert. Daraus ergeben sich zwangsläufig Abhängigkeiten zur betreibenden organisatorischen Einheit und der grundlegenden technischen Infrastruktur für den Betrieb der Software und die Speicherung der Daten. In diesem Artikel werden verschiedene Aspekte präsentiert, die für den Auswahlprozess potentiell relevant sind. 1 Siehe auch Kodex der DFG zur guten wissenschaftlichen Praxis: https://www.dfg.de/foerderung/grundlagen_rahmenbedingungen/gwp/}, author = {Axtmann, Alexandra and Bach, Felix and Bauer, Jonathan and Blessing, André and Bönisch, Thomas and Buck, Nina and Gauza, Holger and Hess, Jan and Holz, Alexander and Jung, Kerstin and Kamzelak, Roland S. and Kaminski, Andreas and Kramski, Heinz Werner and Krauß, Peter and Kuhn, Jonas and Kushnarenko, Volodymyr and Landwehr, Matthias and Leendertse, Jan and Schembera, Björn and Schlesinger, Claus-Michael and Schneider, Gabriel and Steeb, Lorena and von Suchodoletz, Dirk and Schumm, Irene and Terzijska, Džulia and Ulrich, Mona and Viehhauser, Gabriel}, doi = {10.17192/bfdm.2021.3.8348}, journal = {Bausteine Forschungsdatenmanagement}, month = {10}, number = 3, pages = {14-26--}, title = {Kriterien für die Auswahl einer Softwarelösung für den Betrieb eines Repositoriums für Forschungsdaten}, url = {https://bausteine-fdm.de/article/view/8348}, year = 2021 }
  Link
  https://bausteine-fdm.de/article/view/8348
2. 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.
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  @book{horsch2021technology, abstract = {This open access book discusses advances in semantic interoperability for materials modelling, aiming at integrating data obtained from different methods and sources into common frameworks, and facilitating the development of platforms where simulation services in computational molecular engineering can be provided as well as coupled and linked to each other in a standardized and reliable way. The Virtual Materials Marketplace (VIMMP), which is open to all service providers and clients, provides a framework for offering and accessing such services, assisting the uptake of novel modelling and simulation approaches by SMEs, consultants, and industrial R&D end users. Semantic assets presented include the EngMeta metadata schema for research data infrastructures in simulation-based engineering and the collection of ontologies from VIMMP, including the ontology for simulation, modelling, and optimization (OSMO) and the VIMMP software ontology (VISO).}, address = {Cham}, author = {Horsch, Martin Thomas and Chiacchiera, Silvia and Cavalcanti, Welchy Leite and Schembera, Björn}, doi = {10.1007/978-3-030-68597-3}, isbn = {3030685977}, note = {ISBN 978-3-03068596-6}, publisher = {Springer Nature}, title = {Data Technology in Materials Modelling}, url = {https://link.springer.com/book/10.1007/978-3-030-68597-3}, year = 2021 }
  Link
  https://link.springer.com/book/10.1007/978-3-030-68597-3
3. 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
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  @inproceedings{noauthororeditor, abstract = {Domain-specific metadata standards, including ontologies, markup languages, and technical interface specifications, are a necessary component of solutions for FAIR research data management with industrial applications. The Workshop on Domain Ontologies for Research Data Management in Industry Commons of Materials and Manufacturing (DORIC-MM 2021) discusses the state of the art, challenges, and perspectives for continuing innovation in this field. The present work comments on the landscape of semantic assets in the field of materials modelling, covering electronic, atomistic, mesoscopic, and continuum methods. Summaries are given of particularly promising lines of work, including the CAPE-OPEN interface standard, the XML schemas EngMeta, CML, and ThermoML, and the ontologies OntoCAPE, Metadata4Ing/Metadata4HPC, OSMO (the ontology version of MODA) and the VIMMP system of ontologies, and the domain-level modules of the European Materials and Modelling Ontology (EMMO). For future work, it is recommended to emphasize advancing in accordance with five principles: 1. Diversification of technologies; 2. Observation of practices; 3. Realistic objectives; 4. Incentives for providing citable data and software; 5. Co-design of simulation and data technology.}, author = {Horsch, Martin Thomas and Morgado, Joana Francisco and Goldbeck, Gerhard and Iglezakis, Dorothea and Konchakova, Natalia A. and Schembera, Björn}, eventtitle = {ESWC 2021 Workshop DORIC-MM}, title = {Domain-specific metadata standardization in materials modelling}, url = {https://openreview.net/forum?id=uYgdGd7_wgH}, year = 2021 }
  Link
  https://openreview.net/forum?id=uYgdGd7_wgH
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.
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  @article{schembera2021rainbow, abstract = {The deluge of dark data is about to happen. Lacking data management capabilities, especially in the field of supercomputing, and missing data documentation (i.e., missing metadata annotation) constitute a major source of dark data. The present work contributes to addressing this challenge by presenting ExtractIng, a generic automated metadata extraction toolkit. Existing metadata information of simulation output files scattered through the file system, can be aggregated, parsed and converted to the EngMeta metadata model. Use cases from computational engineering are considered to demonstrate the viability of ExtractIng. The evaluation results show that the metadata extraction is simulation-code independent in the sense that it can handle data outputs from various fields of science, is easy to integrate into simulation workflows and compatible with a multitude of computational environments.}, author = {Schembera, Björn}, doi = {https://doi.org/10.1007/s11227-020-03602-6}, editor = {Arabnia, Hamid}, journal = {The Journal of Supercomputing}, title = {Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data}, url = {https://link.springer.com/article/10.1007/s11227-020-03602-6}, year = 2021 }
  Link
  https://link.springer.com/article/10.1007/s11227-020-03602-6
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.
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  @article{bach2020design, abstract = {Research data as the true valuable good in science must be saved and subsequently kept findable, accessible and reusable for reasons of proper scientific conduct for a time span of several years. However, managing long-term storage of research data is a burden for institutes and researchers. Because of the sheer size and the required retention time apt storage providers are hard to find. Aiming to solve this puzzle, the bwDataArchive project started development of a long-term research data archive that is reliable, cost effective and able store multiple petabytes of data. The hardware consists of data storage on magnetic tape, interfaced with disk caches and nodes for data movement and access. On the software side, the High Performance Storage System (HPSS) was chosen for its proven ability to reliably store huge amounts of data. However, the implementation of bwDataArchive is not dependant on HPSS. For authentication the bwDataArchive is integrated into the federated identity management for educational institutions in the State of Baden-Württemberg in Germany. The archive features data protection by means of a dual copy at two distinct locations on different tape technologies, data accessibility by common storage protocols, data retention assurance for more than ten years, data preservation with checksums, and data management capabilities supported by a flexible directory structure allowing sharing and publication. As of September 2019, the bwDataArchive holds over 9 PB and 90 million files and sees a constant increase in usage and users from many communities.}, author = {Bach, Felix and Schembera, Björn and van Wezel, Jos}, doi = {https://doi.org/10.2218/ijdc.v15i1.553}, editor = {Ashley, Kevin}, journal = {International Journal of Digital Curation}, number = 1, title = {Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany}, url = {http://www.ijdc.net/article/view/553}, volume = 15, year = 2020 }
  Link
  http://www.ijdc.net/article/view/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
  - BibTeX
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  BibTeX
  @article{hermann2020datenmanagement, author = {Hermann, Sibylle and Schneider, Martin and Flemisch, Bernd and Frey, Steffen and Iglezakis, Dorothea and Ruf, Matthias and Schembera, Bj{\"o}rn and Seeland, Anett and Steeb, Holger}, journal = {Bausteine Forschungsdatenmanagement}, number = 1, pages = {28--38}, title = {Datenmanagement im SFB 1313}, url = {https://bausteine-fdm.de/article/download/8085/8062}, year = 2020 }
  Link
  https://bausteine-fdm.de/article/download/8085/8062
3. M. T. Horsch et al., “Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions,” 2020, doi: 10.5281/zenodo.3949803.
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  BibTeX
  @article{horschpragmatic, author = {Horsch, Martin Thomas and Chiacchiera, Silvia and Seaton, Michael A and Todorov, Ilian T and Schembera, Bj{\"o}rn and Klein, Peter and Konchakova, Natalia}, doi = {10.5281/zenodo.3949803}, title = {Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions}, url = {https://www.researchgate.net/publication/338582601_Pragmatic_interoperability_and_translation_of_industrial_engineering_problems_into_modelling_and_simulation_solutions}, year = 2020 }
  Link
  https://www.researchgate.net/publication/338582601_Pragmatic_interoperability_and_translation_of_industrial_engineering_problems_into_modelling_and_simulation_solutions
4. 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.
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  @article{horsch2020reliable, author = {Horsch, Martin Thomas and Chiacchiera, Silvia and Seaton, Michael A and Todorov, Ilian T and Schembera, Bj{\"o}rn and Konchakova, Natalia and Klein, Peter}, journal = {Molecular and Mesoscopic Modelling in Chemical Engineering Data Science}, title = {Reliable and interoperable computational molecular engineering: 1. Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions}, year = 2020 }
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
  - BibTeX
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  BibTeX
  @article{schembera2020engmeta, archiveprefix = {arXiv}, author = {Schembera, Björn and Iglezakis, Dorothea}, editor = {Garoufallou, Emmanouel}, eprint = {2005.01637}, howpublished = {preprint}, journal = {International Journal of Metadata, Semantics and Ontologies}, language = {en}, number = 1, pages = {26-38}, primaryclass = {cs.IR}, title = {EngMeta -- Metadata for Computational Engineering}, type = {Publication}, url = {https://arxiv.org/abs/2005.01637}, volume = 14, year = 2020 }
  Link
  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.
  - BibTeX
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  BibTeX
  @article{selentmanagement, author = {Selent, Bj{\"o}rn and Kraus, Hamzeh and Hansen, Niels and Schembera, Bj{\"o}rn and Seeland, Anett and Iglezakis, Dorothea}, doi = {https://doi.org/10.11588/heibooks.598}, journal = {Proceedings of E-Science-Tage 2019: Data to Knowledge }, title = {Management of Research Data in Computational Fluid Dynamics and Thermodynamics}, url = {https://books.ub.uni-heidelberg.de/heibooks/reader/download/598/598-4-88225-1-10-20200325.pdf}, year = 2020 }
  Link
  https://books.ub.uni-heidelberg.de/heibooks/reader/download/598/598-4-88225-1-10-20200325.pdf
2019
1. B. Schembera, “Forschungsdatenmanagement im Kontext dunkler Daten in den Simulationswissenschaften,” Publication, Universität Stuttgart, Stuttgart, 2019. doi: 10.18419/opus-11028.
  - BibTeX
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  BibTeX
  @phdthesis{schembera2019dissertation, abstract = {In der Dissertation wird das Konzept von dunklen Daten auf das Höchstleistungsrechnen erweitert. Dunkle Daten entstehen durch fehlende Metadaten oder inaktive Nutzerinnen und Nutzer. Die Dissertation stellt Konzepte zur Minimierung solcher Daten vor. Sie umfassen ein Metadaten-Modell (EngMeta) und eine automatisierte Metadaten-Extraktionsmethode, die entworfen und implementiert wurde. Da solche technischen Lösungsansätze ohne entsprechende organisatorische Prozesse nutzlos sind, werden sie in der Dissertation um einen spezifischen Datenkurator sowie Entscheidungskriterien ergänzt.}, address = {Stuttgart}, author = {Schembera, Björn}, doi = {10.18419/opus-11028}, school = {Universität Stuttgart}, title = {Forschungsdatenmanagement im Kontext dunkler Daten in den Simulationswissenschaften}, type = {Publication}, url = {http://dx.doi.org/10.18419/opus-11028}, year = 2019 }
  Link
  http://dx.doi.org/10.18419/opus-11028
2. 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.
  - BibTeX
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  BibTeX
  @article{Schembera2019, abstract = {Many studies in big data focus on the uses of data available to researchers, leaving without treatment data that is on the servers but of which researchers are unaware. We call this dark data, and in this article, we present and discuss it in the context of high-performance computing (HPC) facilities. To this end, we provide statistics of a major HPC facility in Europe, the High-Performance Computing Center Stuttgart (HLRS). We also propose a new position tailor-made for coping with dark data and general data management. We call it the scientific data officer (SDO) and we distinguish it from other standard positions in HPC facilities such as chief data officers, system administrators, and security officers. In order to understand the role of the SDO in HPC facilities, we discuss two kinds of responsibilities, namely, technical responsibilities and ethical responsibilities. While the former are intended to characterize the position, the latter raise concerns---and proposes solutions---to the control and authority that the SDO would acquire.}, author = {Schembera, Björn and Durán, Juan M.}, day = 13, doi = {10.1007/s13347-019-00346-x}, issn = {2210-5441}, journal = {Philosophy & Technology}, month = {03}, title = {Dark Data as the New Challenge for Big Data Science and the Introduction of the Scientific Data Officer}, url = {https://doi.org/10.1007/s13347-019-00346-x}, year = 2019 }
  Link
  https://doi.org/10.1007/s13347-019-00346-x
3. B. Schembera and D. Iglezakis, “The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering,” in Metadata and Semantic Research, E. Garoufallou, F. Sartori, R. Siatri, and M. Zervas, Eds., in Metadata and Semantic Research. Springer International Publishing, 2019, pp. 127–132. doi: https://doi.org/10.1007/978-3-030-14401-2_12.
  - BibTeX
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  BibTeX
  @inproceedings{Schembera2018, abstract = {In computational engineering, numerical simulations produce huge amounts of data. To keep this research data findable, accessible, inter-operable and reusable, a structured description of the data is indispensable. This paper outlines the genesis of EngMeta – a metadata model designed to describe engineering simulation data with a focus on thermodynamics and aerodynamics. The metadata model, developed in close collaboration with engineers, is based on existing standards and adds discipline-specific information as the main contribution. Characteristics of the observed system offer researchers important search criteria. Information on the hardware and software used and the processing steps involved helps to understand and replicate the data. Such metadata are crucial to keeping the data FAIR and bridging the gap to a sustainable research data management in computational engineering.}, address = {Cham}, author = {Schembera, Björn and Iglezakis, Dorothea}, booktitle = {Metadata and Semantic Research}, doi = {https://doi.org/10.1007/978-3-030-14401-2_12}, editor = {Garoufallou, Emmanouel and Sartori, Fabio and Siatri, Rania and Zervas, Marios}, eventdate = {Oct 2018}, eventtitle = {MTSR 2018}, isbn = {978-3-030-14401-2}, number = 846, pages = {127-132}, publisher = {Springer International Publishing}, series = {Communications in Computer and Information Science}, title = {The Genesis of EngMeta - A Metadata Model for Research Data in Computational Engineering}, url = {https://link.springer.com/chapter/10.1007%2F978-3-030-14401-2_12}, venue = {Limassol, Cyprus}, year = 2019 }
  Link
  https://link.springer.com/chapter/10.1007%2F978-3-030-14401-2_12
4. 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.
  - BibTeX
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  BibTeX
  @techreport{TIBKAT:1693393980, address = {Stuttgart}, author = {Schembera, Björn and Selent, Björn and Iglezakis, Dorothea and Seeland, Anett}, doi = {10.2314/KXP:1693393980}, institution = {Universität Stuttgart}, publisher = {Universität Stuttgart; }, title = {Datenmanagement in Infrastrukturen, Prozessen und Lebenszyklen für die Ingenieurwissenschaften : Abschlussbericht des BMBF-Projektes Dipl-Ing}, url = {https://www.tib.eu/de/suchen/id/TIBKAT%3A1693393980}, year = 2019 }
  Link
  https://www.tib.eu/de/suchen/id/TIBKAT%3A1693393980
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.
  - BibTeX
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  BibTeX
  @article{Iglezakis2018, author = {Iglezakis, Dorothea and Schembera, Björn}, doi = {10.5282/o-bib/2018H3S46-60}, journal = {o-bib. Das offene Bibliotheksjournal}, title = {Anforderungen der Ingenieurwissenschaften an das Forschungsdatenmanagement der Universität Stuttgart - Ergebnisse der Bedarfsanalyse des Projektes DIPL-ING}, url = {https://doi.org/10.5282/o-bib/2018H3S46-60}, volume = 3, year = 2018 }
  Link
  https://doi.org/10.5282/o-bib/2018H3S46-60
2017
1. B. Schembera, “Myths of Simulation,” in The Science and Art of Simulation I, 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
  - BibTeX
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  BibTeX
  @incollection{schembera2017myths, abstract = {Certain myths have emerged about computer technology in general, such as the almighty electronic brain that outperforms humans in every discipline or legends about the capability of artificial intelligence. Some of these myths find echoes in the field of computer simulation, like simulation being pure number-crunching on supercomputers. This article reflects on myths about computer simulation and tries to oppose them. At the beginning of the paper, simulation is defined. Then, some central myths about computer simulation will are identified from a general computer science perspective. The first central myth is that simulation is a virtual experiment. This view is contradicted by the argument, that computer simulation is located in between theory and experiment. Furthermore, access to reality is possible indirectly via representation. The second myth is that simulation is said to be exact. This myth can be falsified by examining technical and conceptual limitations of computer technology. Moreover, arguments are presented as to why ideal exactness is neither possible nor necessary. A third myth emerges from the general overstatement of computer technology: Everything can be simulated. It will be shown that simulation can only solve problems that can be formalized and calculated—and can only produce results that are within the scope of the models they are based on.}, author = {Schembera, Bj{\"o}rn}, booktitle = {The Science and Art of Simulation I}, pages = {51--63}, publisher = {Springer}, title = {Myths of Simulation}, url = {http://link.springer.com/chapter/10.1007%2F978-3-319-55762-5_5}, year = 2017 }
  Link
  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, in International Conference on Theory and Practice of Digital Libraries. Springer, 2017, pp. 140--151. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-319-67008-9_12
  - BibTeX
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  BibTeX
  @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.}, author = {Schembera, Bj{\"o}rn and B{\"o}nisch, Thomas}, booktitle = {International Conference on Theory and Practice of Digital Libraries}, organization = {Springer}, pages = {140--151}, 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 }
  Link
  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
  - BibTeX
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  BibTeX
  @article{skvortsov2017optimized, abstract = {Today, location-based applications and services such as friend finders and geo-social networks are very popular. However, storing private position information on third-party location servers leads to privacy problems. In our previous work, we proposed a position sharing approach for secure management of positions on non-trusted servers , which distributes position shares of limited precision among servers of several providers. In this paper, we propose two novel contributions to improve the original approach. First, we optimize the placement of shares among servers by taking their trustworthiness into account. Second, we optimize the location update protocols to minimize the number of messages between mobile device and location servers. }, author = {Skvortsov, Pavel and Schembera, Björn and Dürr, Frank and Rothermel, Kurt}, journal = {arXiv.org}, month = {02}, pages = {1-26}, title = {Optimized Secure Position Sharing with Non-trusted Servers}, url = {https://arxiv.org/abs/1702.08377}, year = 2017 }
  Link
  https://arxiv.org/abs/1702.08377
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
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  @article{kaminski2016simulation, abstract = {Die Durchführung einer Simulation ist geleitet durch die Idee einer formalen Übersetzung: Ein (häufig physikalisches) Gegenstandsmodell soll in ein mathematisches, dieses in ein algorithmisches Modell übersetzt werden. Dabei soll die formale Struktur erhalten bleiben. Die Praxis der Simulation zeigt nun zwar, dass diese Idee leitend ist, aber nicht nahtlos umgesetzt werden kann. Es treten vielmehr grundlegende Probleme auf, die eine direkte Übersetzung unmöglich machen. Die These des Beitrags ist: Wo immer ein Bruch in diesem Übersetzungsprozess auftritt, wird eine List ersonnen, um das, was direkt nicht möglich ist, doch, in gewisser Weise zumindest, möglich werden zu lassen. Die Simulation erweist sich dadurch also als ein ungemein listenreicher Prozess. Dies schärft den Blick für die Technik und das Handwerk der Simulation. Denn der Begriff der List ist von vornherein auf die Tricks, Kniffe, Finten und verblüffenden Effekte von Technik bezogen.}, address = {Zürich, Berlin}, author = {Kaminski, Andreas and Schembera, Björn and Resch, Michael and Küster, Uwe}, booktitle = {Technik, List und Tod}, editor = {Gamm, Gerhard and Gehring, Petra and Hubig, Christoph and Kaminski, Andreas and Nordmann, Alfred}, journal = {Jahrbuch Technikphilosophie}, pages = {93–121}, series = 2, title = {Simulation als List}, url = {https://www.diaphanes.net/buch/detail/2474}, volume = 2, year = 2016 }
  Link
  https://www.diaphanes.net/buch/detail/2474
2015
1. J. van Wezel et al., “Towards an Interoperable Data Archive,” 2015.
  - BibTeX
  BibTeX
  @inproceedings{vanwezel2015towards, abstract = {Scientific and cultural organisations, international collaborations and projects have a need to preserve and maintain access to large volumes of digital data for several decennia. Existing systems supporting these requirements span from simple databases at libraries to complex multi-tier software environments developed by scientific communities. All communities see an increasing volume of data that must be stored efficiently and economically which today, is usually a combination of a dynamic proportion of storage on magnetic disk and on magnetic tape. The bwDataArchiv project at KIT and HLRS is developing an infrastructure for secure and reliable archival storage that functions as a uniform platform for multiple scientific domains and international projects. Access to the actual storage in the data centre is enabled through an abstracted bit-preservation layer that offers features selected for long term storage such as special metadata tags, takes into account the higher latencies of tape or cloud storage and can be used for infrastructure as a service (IaaS) offerings. At the same time access to the storage remains backward compatible for existing applications. Several projects serving different communities i.e. HPC users, libraries, archives, using the interface are presented as are the collection of requirements and the architecture of the prototype implementation. }, author = {van Wezel, Jos and Hammad, Ahmad and Krauß, Peter and Kurze, Tobias and Meyer, Jörg and Potthoff, Jan and Schembera, Björn}, eventtitle = {EUMETSAT}, title = {Towards an Interoperable Data Archive}, year = 2015 }
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
  - BibTeX
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  BibTeX
  @mastersthesis{schembera2011platzierungsoptimierung, author = {Schembera, Björn}, institution = {University of Stuttgart}, publisher = {IPVS}, title = {Platzierungsoptimierung für vertrauliche Verwaltung der verteilten Positionsinformationen}, url = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-3102/DIP-3102.pdf}, year = 2011 }
  Link
  ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/DIP-3102/DIP-3102.pdf

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