Data Integration and Processing
The research group “Data Integration and Processing (DIP)” develops innovative solutions for the sovereign and sustainable handling of energy-relevant data - from raw data acquisition to its integration and intelligent use. Our aim is to provide a reliable database for research, industry, local municipalities and politics.
One focus is on the development of modern data platforms and data spaces that enable the cross-sectoral exchange of energy data - open, secure and interoperable. The focus is on open data and structured, FAIR-compliant research data management: we develop concepts and tools that make research data findable, accessible, interoperable and reusable. In this way, we create the basis for transparency, reuse and collaborative research in the energy sector.
To ensure data quality, we rely on automated data integration, validation and standardization processes. This is supplemented by the use of artificial intelligence, in particular large language models (LLMs), to efficiently analyze heterogeneous data sets, semantically index them and make them usable in context.
Another field of application is the Internet of Things (IoT): here we analyze sensor data from energy infrastructures in real time, link it with other data sources and make it accessible via our platforms - also as open data wherever possible.
Our work combines application-oriented research with active involvement in shaping national and European data strategies. We drive cultural and technical change towards open, data-driven energy research - transparent, collaborative and innovation-promoting.
Persons 
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Dr. rer. nat. Jan Reinkensmeier
E-Mail: jan.reinkensmeier(at)offis.de, Phone: +49 441 9722-227, Room: Flx-E
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Projects
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InEExS
Innovative Energy (Efficiency) Service Models for Sector Integration via Blockchain
Duration: 2022 - 2025N
NFDI4Energy
National Research Data Infrastructure for the Interdisciplinary Energy System Research
Duration: 2023 - 2028T
Transparency in Pig Production (TiPP)
Digitale Rückverfolgbarkeit und Transparenz entlang der Wertschöpfungskette Schwein in der Region Oldenburger Münsterland
Duration: 2023 - 2025 W
WWNW
WärmewendeNordwest – Digitalisierung zur Umsetzung von Wärmewende- und Mehrwertanwendungen für Gebäude, Campus, Quartiere und Kommunen im Nordwesten
Duration: 2021 - 2025 Publications
2025
Monitoring Germany's Core Energy System Dataset: A Data Quality Analysis of the Marktstammdatenregister
Kotthoff, Florian and Muschner, Christoph and Tepe, Deniz and Vogt, Esther and Hülk, Ludwig; SIGENERGY Energy Inform. Rev.; February / 2025
2024
Beyond the Border – A Taxonomic Analysis of the Adoption of Boundary Objects in Information Systems Research
Oliver Werth, Julia Köhlke, Robert C. Nickerson; Proceedings of the Forty-Fifth International Conference on Information Systems; Dezember / 2024
Developing Interoperable Ontologies for Research Data Management in the Energy Domain
Amanda Wein, Alexandro Steinert, Jan Sören Schwarz, Laura Fuentes-Grau, Zhiyu Pan, Antonello Monti, Astrid Nieße; Juli / 2024
DigiSchwein: Cross Innovation und Digitalisierung in der tiergerechten Schweinehaltung unter Berücksichtigung des Ressourcenschutzes
Lieboldt, Marc-Alexander and Reinkensmeier, Jan and Gomez, Jorge Max and Hölscher, Philipp and Kemper, Nicole and Traulsen, Imke and Drücker, Harm; Bauernzeitung: Das Wochenblatt für Landwirtschaft, Dorf und Familie; 2024
Examining the adoption of electromobility concepts across social contexts for energy transition
Julia Köhlke, Adam Lechowicz, Oluwole Fabikun, Noman Bashir, Abel Souza, Prashant Shenoy, Sebastian Lehnhoff; ACM BuildSys; November / 2024
Mapping Solar Potential: Comprehensive PV System Detection with Aerial and Satellite Images Using SolarSAM
Matar, Jessy and Albrecht, Michael and Kandelaki, Aleksandre and Kotthoff, Florian and Duchon, Markus; 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm); 2024
open-mastr: A Python Package to Download and Process the German Energy Registry Marktstammdatenregister
Florian Kotthoff and Christoph Muschner and Deniz Tepe and Guido Pleßmann and Ludwig Hülk; Journal of Open Source Software; 2024
Towards FAIR Data in Energy System Research: Challenges and Perspectives
Wein, Amanda and Bechara, Mazen and Rohde, Philipp D. and Vidal, Maria-Esther; Proceedings of the Workshop on Metadata and Research (objects) Management for Linked Open Science (4.2024, Online); Juni / 2024
Wind farm virtual Site Assistant for O&M decision support - advanced methods for big data analysis (WiSAbigdata) - Abschlussbericht
Asswad, Jad and Bastine, David and Böer, Tabea and Bette, Henrik and Bendlin, Dirk and Eguchi, Alexander and Freund, Jan and Gansel, Kai and Fankhänel, Matthias and Guhr, Thomas and Haghani, Adel and Heißelmann, Henrik and Kühn, Martin and Lichtenstein, Timo and Marx Gomez, Jorge and Pelka, Karoline and Maltzahn, Victor von and Peinke, Joachim and Häckel, Moritz Werther and Schwarzkopf, Marie-Antoinette and Seifert, Janna Kristina and Solsbach, Andreas and Wächter, Matthias and Wiedemann, Christian and Walgern, Julia and Reinkensmeier, Jan and Zurborg, Stefan; 2024
2023
DigiSchwein-Cross Innovation und Digitalisierung in der tiergerechten Schweinehaltung unter Berücksichtigung des Ressourcenschutzes
Lieboldt, Marc-Alexander and Sagkob, Stefan and Reinkensmeier, Jan and Marx Gomez, Jorge and Hölscher, Philipp and Kemper, Nicole and Traulsen, Imke and Drücker, Harm; Leistungs-und Qualitätsprüfungen sowie Projekte in der Tierhaltung: Jahresbericht; 2023
