HUB Energie | Ressourcen

Beiträge

  • Schmidt, A., Münch, T. (2026). Low-Code Web Database Integration: Enhancing Workflow Efficiency and Collaboration with Web Components and Generic Web Services. In: Marchiori, M., García Peñalvo, F., Aberer, K. (eds) Web Information Systems and Technologies. WEBIST 2024. Lecture Notes in Business Information Processing, vol 583. Springer, Cham. https://doi.org/10.1007/978-3-032-25534-1_2

  • P. Schmurr et al., "Generating RSCAD FX Models for Real-Time EMT-Simulation using Component Graphs and PyAPI-RTS," 2026 Open Source Modelling and Simulation of Energy Systems (OSMSES), Karlsruhe, Germany, 2026, pp. 1-7, doi:10.1109/
    OSMSES69376.    2026.11457225

  • Schmidt, A. (Hrsg.). (2026). Proceedings of the Eighteenth International Conference on Advances in Databases, Knowledge, and Data Applications : DBKDA / IARA. ThinkMind

  • Münch, T., Schmidt, A., Heil, S., Gaedke, M. (2026). MoralWeb: Reimagining the Web with Solid, Low-Code Tools, and Moral Codes for a Democratic and Equitable Future. In: Verma, H., Bozzon, A., Mauri, A., Yang, J. (eds) Web Engineering. ICWE 2025. Lecture Notes in Computer Science, vol 15749. Springer, Cham. https://doi.org/10.1007/978-3-031-97207-2_11

  • Nieße, A., Ferenz, S., Auer, S., Engel, F., Finke, O., Forberg, J., Fuentes Grau, L., German, R., Hagenmeyer, V., Hoffart, F. M., Huber, J., Hülk, L., Karras, O., Kotthoff, F., Kuhlmann, L., Lehnhoff, S., Lilliestam, J., Monti, A., Niemann, L., … Werth, O. (2026). NFDI4Energy – National Research Data Infrastructure for Interdisciplinary Energy System Research: Progress Report. Zenodo. https://doi.org/10.5281/zenodo.18744051

  • Liu, N., Schmidt, A., Stucky, KU., Suess, W., Hagenmeyer, V. (2026). OniOn: An RGCN-Based Ontology Alignment Approach for Energy Data Integration. In: Curry, E., et al. The Semantic Web: ESWC 2025 Satellite Events. ESWC 2025. Lecture Notes in Computer Science, vol 15832. Springer, Cham. https://doi.org/10.1007/978-3-031-99554-5_16

  • Schmurr, P., Schmidt, A., Friedrich, M., Stucky, KU., Suess, W., Hagenmeyer, V. (2026). Utilizing ER Model Extraction for an Industry Data Validation Use Case. In: Bernardino, J., et al. Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2024. Communications in Computer and Information Science, vol 2703. Springer, Cham. https://doi.org/10.1007/978-3-032-06878-1_14

  • Liu, N., Koubaa, MA., Schmidt, A., Stucky, KU., Suess, W., Hagenmeyer, V. (2026). Embedding-Based Ontology Term Recommendation System for FAIR Data Publishing Workflows. In: Cappiello, C., Hartig, O., Sellami, M., Ouni, A. (eds) Cooperative Information Systems. CoopIS 2025. Lecture Notes in Computer Science, vol 15535. Springer, Cham. https://doi.org/10.1007/978-3-032-15538-2_35

  • Schmidt, A.; Münch, T. (2025). A Low-Code Approach for Creating Dynamic Map-Based Web Applications Using W3C Web Components. Proceedings of the 17th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2025). Ed.: C. Kotropoulos, 72–74, International Academy Research and Industry Association (IARIA)

  • Schmidt, A.; Münch, T. (2025). A Lightweight Web Component Toolbox for Database-Driven Web Applications. International Journal on Advances in Software, 18 (1 & 2), 6–15

  • Genderjahn, S.; Meistring, M.; Vleugel, M.; Brune, S.; Frickenhaus, S.; Murphy, B.; Nimptsch, K.; Nunes da Rocha, U.; Selzer, M.; Süß, W.; Weber, F.
    (2025). 4th Helmholtz Open Science Forum on the NFDI - "Helmholtz Contributions to FAIRness and Data Quality". (S. Genderjahn & M. Meistring, Hrsg.), Helmholtz Open Science Office. doi:10.48440/os.helmholtz.082

  • Liu, N.; Koubaa, M.-A.; Suess, W.; Hagenmeyer, V. (2025). From Strings to Semantics: A Graph-based Reranking Approach for Annotating Tables using Domain Ontologies. ISWC-C 2025 : Industry, Doctoral Consortium, Posters and Demos at ISWC 2025 ; Joint Proceedings of Industry, Doctoral Consortium, Posters and Demos of the 24th International Semantic Web Conference (ISWC-C 2025), Nara, Japan, November 2-6, 2025. Ed.: I. Celino, 187–192, CEUR-WS

  • Gerlich, S. C.; Kubin, M.; Kulla, L.; Lemster, C.; Schmidt, A.; Schweikert, J.; Shankar, S.; Stucky, K.-U. (2025). A survey on the status quo, gaps and needs among research data professionals in the Helmholtz Association. Helmholtz Metadata Collaboration (HMC). doi:10.3289/HMC_publ_08

  • Shankar, S., Gerlich, S. C., Kubin, M., Kulla, L., Lemster, C., Schmidt, A., Schweikert, J., & Stucky, K.-U. (2025, August 4). Research Data Management in Helmholtz – Findings from Data Professionals Survey 2024. 2nd Conference on Research Data Infrastructure (CoRDI), Aachen, Germany. https://doi.org/10.5281/zenodo.16735802

  • Koubaa, M.-A., Liu, N., Martens, F., Schmidt, A., Stucky, K.-U. and Süß, W. (2025). Toolchain for Dataset Description with Contextual Recommendation from Machine-Actionable Data Management Plans. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS; ISBN 978-989-758-769-6; ISSN 2184-3228, SciTePress, pages 506-513. doi:10.5220/0013786300004000

  • Schmidt, A.; Münch, T. 2024). Enable Business Users to Embed Dynamic Database Content in Existing Web-Based Systems Using Web Components and Generic Web Services. (Proceedings of the 20th International Conference on Web Information Systems and Technologies, 296–306, SciTePress. doi:10.5220/0013000000003825

  • Schmidt, A.; Münch, T.: Low-Code in Web-Applikationen. (2024). fachabteilungen stärken – IT Abteilung entlasten. Forschung aktuell, 18–21

  • Schmidt, A.; Buchmann, E. (Hrsg.). (2024). DBKDA 2024 : the Sixteenth International Conference on Advances in Databases, Knowledge, and Data Applications. March 10th –14th, 2024, Athens, Greece. Think Mind

  • Schmidt, A.; Munch, T. (2024). Web Components for Database Developers. DBKDA 2024 : the Sixteenth International Conference on Advances in Databases, Knowledge, and Data Applications : March 10th-14th, 2024. Ed.: A. Schmidt, 20–22, International Academy Research and Industry Association (IARIA)

  • Süß, W.; Hoyer-Klick, C.; Ferenz, S.; Hofmann, C.; Werth, O. (2024, Oktober 22). FAIR Data for Energy Systems Research. EOSC Symposium (2024), Berlin, Deutschland, 21.–23. Oktober 2024

  • Duchon, M.; Buchenberg, P.; Matar, J.; Shoyari, M. F.; Kessler, I.; Perzylo, A.; Kuhn, P.; Hamacher, T.; Suriyamoorthy, G.; Schlachter, T.; Süß, W.; Nguyen, X. T.; Salari, H. E.; Latko, J.; Xu, M.; Shamovich, M.; Schlütter, D.; Frisch, J.; Kraft, M.; Rustagi, K.; Ayasse, C.; Steinke, F.; Metzger, M.; Kuper, L. (2024). A Platform Ecosystem Providing New Data For The Energy Transition. DACH+ Energy Informatics Conference 2024, Lugano, CH, Association for Computing Machinery (ACM)

  • Meisenbacher, S.; Galenzowski, J.; Förderer, K.; Suess, W.; Waczowicz, S.; Mikut, R.; Hagenmeyer, V. (2024). Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications. Energy Informatics – 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23–25, 2024, Proceedings, Part I. Ed.: B. Jørgensen, 277–297, Springer Nature Switzerland. doi:10.1007/978-3-031-74738-0_18

  • P. Schmurr, A. Schmidt, K.-U. Stucky, W. Suess, und V. Hagenmeyer. (2024). Performing Entity Relationship Model Extraction from Data and Schema Information as a Basis for Data Integration. 16th International Conference on Knowledge Management and Information Systems, Nov. 2024, S. 316–322. doi:10.5220/0013012600003838

  • A. Schmidt, M. A. Koubaa, N. Liu, P. Schmurr, K.-U. Stucky, und W. Süß. (2024). FAIRlead: A Conceptual Framework for a Model Driven Software Development Approach in the Field of FAIR Data Management. 16th International Conference on Knowledge Management and Information Systems, Nov. 2024, S. 323–330. doi:10.5220/0013013700003838

  • A. Schmidt, M. A. Koubaa, N. Liu, P. Schmurr, K.-U. Stucky, und W. Süss. (2024). FAIRlead - A Domain Independent, Model Driven Approach to follow the FAIR Data Avenue. 3rd Helmholtz Metadata Collaboration Conference 2024, Online, 04.11.2024 – 06.11.2024, 2024. https://doi.org/10.5281/zenodo.14065464.

  • Schmidt, A.; Koubaa, M. A.; Liu, N.; Stucky, K.-U.; Süß, W. (2024). Metadata Extraction from a Huge Time Series Database. Proceedings of the first NFDI4Energy Conference, Zenodo. doi:10.5281/zenodo.10625406

  • Stucky, K.-U.; Koubaa, M. A.; Liu, N.; Schmidt, A.; Süß, W.; Hagenmeyer, V. (2024). Towards a Conception and the Implementation of FAIR Data Management Tools for the Energy Domain. 1. NFDI4Energy Conference, 5 S., Zenodo. doi:10.5281/zenodo.10614813

  • Schmidt, A.; Koubaa, M. A. (2023). Practical Data Science Using the Shell. Proceedings of the 20th International Conference Applied Computing (AC 2023), Funchal, Madeira, P, October 21-23, 2023

  • Curdt, C.; Günther, G.; Jejkal, T.; Koch, C.; Krebs, F.; Pfeil, A.; Pirogov, A.; Schweikert, J.; Videgain Barranco, P.; Weinelt, M. (2023). Helmholtz Metadata Collaboration, Helmholtz Kernel Information Profile. HMC Office, GEOMAR Helmholtz Centre for Ocean Research. doi:10.3289/HMC_publ_03

  • Schmidt, A.; Koubaa, M.; Schweikert, J.; Stucky, K.-U.; Süß, W.; Hagenmeyer, V. (2023). ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles. Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 303–310, SciTePress. doi:10.5220/0012254300003598

  • Schmidt, A.; Koubaa, M. A.: Schmidt, A.; Koubaa, M. A. (2023). Practial Data Science Using the Shell. Proceedings of the 20th International Conference Applied Computing 2023, Funchal, Madeira, Portugal, 21st-23rd October 2023

  • Ballani, F.; Schaller, T.; Steinmeier, L.; Koubaa, M. A.; Schweikert, J.; Stucky, K.-U.; Süß, W. (2023). Report on research data management interviews conducted for HMC Hub Energy in 2022. doi:10.5445/IR/1000164395

  • Kulla, L.; Bröder, J.; Curdt, C.; Kubin, M.; Kollai, H.; Lemster, C.; Nolden, M.; Schmieder, K.; Strupp, A.; Stucky, K.-U.; Söding, E.; Walter, K. P.; Witold, A. (2023). The HMC Information Portal for Enhanced Metadata Collaboration in the Helmholtz FAIR Data Space. 1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities, Karlsruhe, 12th - 14th September 2023, 4 S., Karlsruher Institut für Technologie (KIT). doi:10.52825/CoRDI.v1i.383

  • Koubaa, M. A.; Suess, W.; Stucky, K.-U.; Schmidt, A. (2023). Semantico – Toolchain for literature classification. Zenodo. doi:10.5281/zenodo.8420493

  • Schmidt, A.; Koubaa, M. A.; Schweiker, J.; Stucky, K.-U.; Süß, W. (2023). Zeitgeist : An Interactive FAIR Data Publishing System for Time Series Data. Zenodo. doi:10.5281/zenodo.8382658

  • Schweikert, Jan; Stucky, Karl-Uwe; Süß, Wolfgang; Hagenmeyer, Veit.(2023). A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies. In: Energies 16 (3), S. 1444, https://doi.org/10.3390/en16031444

  • Heidrich, B.; Turowski, M.; Phipps, K.; Schmieder, K.; Süß, W.; Mikut, R.; Hagenmeyer, V. (2023). Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. Applied Intelligence https://doi.org/10.1007/s10489-022-03742-7

  • Arndt, W., Gerlich, S. C., Hofmann, V., Kubin, M., Kulla, L., Lemster, C., Mannix, O., Nolden, M., Rink, K., Schweikert, J., Shankar, Söding, E., Steinmeier, L., & Suess, W. (2022). HMC Community Survey 2021 (Version 1.0.0) [Data set]. GESIS, Cologne. https://doi.org/10.7802/2433

  • Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P. V.; Krebs, F.; Koch, C.; Günther, G.; Curdt, C.; Weinelt, M. (2022, 21. Juni). A common PID Kernel Information Profile for the German Helmholtz Association of Research Centres. 19th International Data Week : A Festival of Data / Plenary meeting (RDA 2022), Seoul, Südkorea, 20.–23. Juni 2022

  • Günther, G.; Schweikert, J.; Mannix, O.; Süß, W. (2022, Oktober 6). Use Cases in HMC - from Generation to Reuse of Data. https://doi.org/10.5281/zenodo.7157694

  • Schweikert, J.; Stucky, U.; Süß, W.; Hagenmeyer, V. (2022). A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies. 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 10-12 August 2022, Institute of Electrical and Electronics Engineers (IEEE) https://doi.org/10.1109/SEGE55279.2022.9889768

  • Schweikert, J.; Stucky, K.-U.; Koubaa, M. A.; Süß, W.; Hagenmeyer, V. (2022). Implementation of a Photovoltaic System Model Using FAIR Digital Objects. Research Ideas and Outcomes https://doi.org/10.3897/rio.8.e93929

  • Gerlich, S.; Hofmann, V.; Kubin, M.; Lemster, C.; Mannix, O.; Rink, K.; Schweikert, J.; Shankar, S.; Söding, E.; Steinmeier, L.; Süß, W. (2022). HMC Community Survey: A Survey on research data management practices among researchers in the Helmhotz-Association. https://doi.org/10.7802/2433

  • Helmholtz Metadata Collaboration (HMC); Buttigieg, P. L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Kubin, M.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Port, B.; Stucky, K.-U. (2022). An interpretation of the FAIR principles to guide implementations in the HMC digital ecosystem. (S. Lorenz, Hrsg.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel https://doi.org/10.3289/HMC_publ_01

  • Buttigieg, P. L.; Cristiano, L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Koch, C.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Stucky, K. U. (2022). Guidance on Versioning of Digital Assets. Helmholtz Metadata Collaboration (HMC) (S. Lorenz, A. Finke, C. Langenbach, K. Maier-Hein, S. Sandfeld & R. Stotzka, Hrsg.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel https://doi.org/10.3289/HMC_publ_04

  • Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P.; Krebs, F.; Koch, C.; Guenther, G.; Curdt, C.; Weinelt, M. (2022). Realizing FAIR Digital Objects for the German Helmholtz Association of Research Centres. Research Ideas and Outcomes, 8, Art.Nr. e94758 https://doi.org/10.3897/rio.8.e94758

  • Hoyer-Klick, Carsten und Frey, Johannes und Frey, Ulrich und Gardian, Hedda und Giannousakis, Anastasis und Göpfert, Jan und Hecking, Tobias und Hofmann, Christian und Jentzsch, Sophie Freya und Knosala, Kevin und Kotzur, Leander und Kronshage, Stefan und Kuckertz, Patrick und Muschner, Christoph und Pehl, Michaja und Sehn, Vera und Stolten, Detlef. (2021). Implementing FAIR through a distributed data infrastructure. Energy Modelling Plattform Europe (EPM-E) 2021, 26.-28. Okt. 2021

  • Wierling, August und Schwanitz, Valeria Jana und Altinci, Sebnem und Balazinska, Maria und Barber, Michael J. und Biresselioglu, Mehment Efe und Celino, Massimo und Demir, Muhittin Hakan und Dennis, Richard und Dintzer, Nicolas und el Gammal, Adel und Fernandes-Peruchena, Carlos M. und Gilcrease, Winston und Gladysz, Pawel und Hoyer-Klick, Carsten und Joshi, Kevin und Kruczek, Marius und Lacroix, David und Molgorzata, Markowska und Mayo-Garcia, Rafael und Morrrison, Robbie und Paier, Manfred und Perenato, Guiseppe und Ramakrishan, Mahendranath und Reid, Janeita und Sciullo, Allessandro und Solark, Berfu und Suna, Demet und Süß, Wolfgang und Unger, Astrid und Fernandez Vanoni, Maria Luisa und Vasiljevic, Nicola. (2021). FAIR Metadata Standards for Low Carbon Energy Research - A Review of Practices and How to Advance. Energies, 14, Seite 6692. Multidisciplinary Digital Publishing Institute (MDPI) https://doi.org/10.3390/en14206692

  • Hoyer-Klick, Carsten und Frey, Johannes. (2021). Improved Discovery and Access to Research Data in Energy Systems Analysis. Open Search Symposium, 13.-15. Okt. 2021, Geneva

  • Boosheri, Meisam und Emele, Lukas und Flügel, Simon und Förster, Hannah und Frey, Johannes und Frey, Ulrich J und Glauer, Martin und Hastings, Janna und Hofmann, Christian und Hoyer-Klick, Carsten und Hülk, Ludwig und Kleinau, Anna und Knosala, Kevin und Kotzur, Leander und Kuckertz, Patrick und Mossakowski, Till und Muschner, Christoph und Neuhaus, Fabian und Pehl, Michaja und Robinius, Martin und Sehn, Vera und Stappel, Mirjam. (2021). Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis. Energy and AI, 5. Elsevier https://doi.org/10.1016/j.egyai.2021.100074

  • Lorenz, S.; Denker, M.; Finke, A.; Langenbach, C.; Stotzka, R.; Ückert, F.; Görzig, H.; Höpker, T.; Süß, W.; Jejkal, T.; Soeding, E. (2020, März). The Helmholtz Metadata Collaboration (HMC) - addressing the meta-data problem. Helmholtz AI Kick-Off Meeting (2020), München, Deutschland, 4.–5. März 2020

  • Schmidt, A., Hochmuth, M., Koubaa, M. A., Martens, F., Liu, N., Schmurr, P., Stucky, K.-U., & Süß, W. (2026). Timely – A Domain Specific Language Extension of HTML to Visualize and Query Time Series Data using W3C Web Components [Graphic]. Zenodo. https://doi.org/10.5281/zenodo.19922706

  • Kubin, M., Kulla, L., Lemster, C., Malinovskiy, S., Schmidt, A., Shankar, S., & Stucky, K.-U. (2026). Key Approaches and Insights from the HMC Survey Task Force [Graphic]. Zenodo. HMC Conference 2026, Heidelberg. https://doi.org/10.5281/zenodo.19857979

  • Liu, N.; Koubaa, M.-A.; Suess, W. (2025). From Strings to Semantics: Semi-Automatic Ontology Suggestions for FAIR Energy Data Publication Workflows [Graphic]. Zenodo. DiTraRe Symposium on Digitalisation of Research 2025 (DiTraRe 2025), Karlsruhe, Germany. https://doi.org/10.5281/zenodo.17853511

  • Brendike-Mannix, O., Gerlich, S. C., Kubin, M., Kulla, L., Lemster, C., Schmidt, A., Schweikert, J., Shankar, S., & Stucky, K.-U. (2025). Key Insights from the HMC Data Professionals Survey 2024: Enhancing Research Data Management Practices (Version 1.0) [Graphic]. Zenodo. DAPHNE4NFDI Annual Meeting 2025, Berlin. https://doi.org/10.5281/zenodo.15074724

  • Gerlich, S. C., Kubin, M., Kulla, L., Lemster, C., Schmidt, A., Schweikert, J., Shankar, S., Stucky, K.-U., & Helmholtz Metadata Collaboration. (2025). Sustainable Research Data Management in Helmholtz - Insights from HMC Data Professionals Survey 2024 (Version 1.0) [Graphic]. Zenodo. HMC Conference 2025, Cologne, Germany. https://doi.org/10.5281/zenodo.15438429

  • Kubin, M.; Kulla, L.; Schmidt, A.; Shankar, S. (2024). Results and Insights into the HMC Data Professionals Survey 2024, November 4. 3rd Helmholtz Metadata Collaboration Conference, Online, 4.–6. November 2024

  • Koubaa, M. A.; Schmurr, P.; Süß, W.: Automatic Metadata Registration using regimo. 2024. Zenodo. doi:10.5281/zenodo.10671031

  • Schmidt, A.; Koubaa, M.; Schweikert, J.; Stucky, U.; Süß, W.: An Interactive FAIR Data Publishing System for Time Series Data. 2023, Oktober 10. Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2023), Online, 10.–12. Oktober 2023

  • Schweikert, J.; Turowski, M.; Köbe, V.; Süß, W.; Hagenmeyer, V.: RO-Crate Time Series Exporterfor the Buuilding Consumption Data of KIT Campus North. 2023. 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Deutschland, 12.–14. September 2023. doi:10.5281/zenodo.8423342

  • Süß, W.; Stucky, K. U.; Schweikert, J.; Koubaa, M. A.; Ballani, F.; Steinmeier, L.: Use Cases and Tools in HMC Hub Energy. 2022, Oktober 10. https://doi.org/10.5281/zenodo.7180896

  • Steinmeier, L.; van den Boogaart, K. G.; Rau, F.; Schaller, T.: A metadata and data entry and editing tool using ontologies for knowledge graph creation. HMC Conference 2022, 05.-06.10.2022, Online, Deutschland. https://doi.org/10.5281/zenodo.7413894

  • Suess, W.; Schweikert, J.; Stucky, K.-U.; Koubaa, M. A.; Steinmeier, L.; Ballani, F.; Hoyer-Klick, C.: Helmholtz Metadata Collaboration (HMC) - FAIR Metadata for Energy = FAIRE Metadaten für die Energieforschung. 2022, November 8. 6. Jahrestreffen des Forschungsnetzwerks Energiesystemanalyse (2022), Berlin, Deutschland, 8.–9. November 2022

  • Steinmeier, L.; van den Boogaart, K. G.; Rau, F.; Schaller, T.: A metadata and data entry and editing tool using ontologies for knowledge graph creation. IAMG 2022 21th Annual Conference, 29.08.-03.09.2022, Nancy, France. https://www.hzdr.de/publications/Publ-34371

  • Steinmeier, L.; Schaller, T.; Rau, F.; Schweikert, J.: Metadatamanagement - How to make your data FAIR. Helmholtz Energy Young Scientists Workshop 2022, 30.-31.05.2022, Maintal (Hessen), Germany. https://www.hzdr.de/publications/Publ-34754

  • Schaller, T.; Steinmeier, L.; Rau, F.: Metadatamanagement - How to make your data FAIR. Jahrestagung der Deutschen Geophysikalischen Gesellschaft, 07.-10.03.2022, München, Deutschland. https://www.hzdr.de/publications/Publ-34336

  • Redder, F.; Braun, E.; Düpmeier, C.; Liu, J.; Westphal, L.; Stucky, U.; Xhonneux, A.; Hagenmeyer, V.; Müller, D.: ICT-Platform for Designing, Testing and Evaluating Energy System Solutions in Real-World Laboratories. 2020, September. ES2050-Abschlusskonferenz (2020), Berlin, Deutschland, 28.–30. September 2020 https://publikationen.bibliothek.kit.edu/1000124388

  • Schmidt, A.; Münch, T.; Berger, T. (2025, Oktober 21). A Practical Introduction to the W3C Standard "Web Components". 21th International Conference on Web Information Systems and Technologies (WEBIST 2025), Marbella, Spanien, 21.–23. Oktober 2025

  • Schmidt, A.; Crowe, M.; Laux, F.; Sinha, A.; Willocx, M.; Naik, S. (2025, März 12). Panel: Data, Social Media, and Trust. 17th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2025), Lissabon, Portugal, 9.–13. März 2025

  • Schmidt, A.: Web Components for Database Developers. (2024, März 10). 16th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2024), Athen, Griechenland, 10.–14. März 2024

  • Crowe, M.; Schmidt, A.; Buchmann, E.; Zhou, X.; Kotropoulos, C.: AI-technologies and Computation Challenges. (2024, März 14). 16th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2024), Athen, Griechenland, 10.–14. März 2024

  • Schmidt, A., Koubaa, M. A., Liu, N., Stucky, K.-U., & Süß, W. (2024, April 8). Metadata Extraction from a Huge Time Series Database. 1st NFDI4Energy, Leibnizhaus, Hannover, Germany. https://doi.org/10.5281/zenodo.10943975

  • Schmidt, A.; Koubaa, M. A. Practical Data Science Using the Shell. (2023, Oktober 21). 20th International Conference Applied Computing (AC 2023), Funchal, Portugal, 21.–23. Oktober 2023

  • Koubaa, M. A., Süß, W., & Förderer, K. M. (2026, May 6). Effective use of PIDINST in the automation of data sets publication: Verifiable Research Objects using RO-Crate and PROV-O. Institute for Automation and Applied Informatics. https://doi.org/10.5281/zenodo.20053865