@misc{67410, abstract = {{Business Process Model and Notation (BPMN) is an established standard for describing business processes and workflows. It can also be used to document research activities and processes in collaboration with researchers who have limited knowledge of process modelling. However, processes documented in BPMN cannot be directly transferred into a semantic representation (e.g., as triples). Several approaches to developing a BPMN ontology exist, but they are no longer actively maintained. Metadata4Ing (M4I) is an actively maintained ontology for describing research processes, with a focus on engineering. In this poster, we present our approach to mapping processes modelled in BPMN to Metadata4Ing and discuss potential challenges involved in implementing this mapping. Our approach draws on foundational concepts from the literature on ontology matching and ontology evaluation and comprises four steps: “process model analysis”, “semantic mapping”, “conceptual derivation of the ontological structure”, and “assessment of transferability”. Transferability is assessed using the criteria of “mappability”, “granularity”, and “extensibility”. We apply the approach to a concrete example from the enableATO project, which focuses on automated maintenance management in the railway sector. The overall process of the subproject was iteratively documented in BPMN through interviews with the six project team members. The process is then transferred to M4I using the mapping developed. This translates the BPMN process steps into a semantic notation and makes it possible to associate the resulting research data with those steps.}}, author = {{Schultz, Andreas Maximilian and Müller, Laura and Stichternath, Jasper and Kesselmeier, Lea and Mozgova, Iryna}}, keywords = {{BPMN, Metadata4Ing, Mapping, Ontology}}, publisher = {{LibreCat University}}, title = {{{Mapping von BPMN-Prozessen in die Metadata4Ing Ontologie}}}, doi = {{10.5281/ZENODO.23180250}}, year = {{2026}}, } @misc{67427, abstract = {{The successful provision of research data does not depend solely on the technical quality of individual systems. Rather, what is crucial is how technical, organizational, and communicative dimensions are interconnected and whether this results in recognizable added value for researchers in their day-to-day work. In this context, both intrinsic and extrinsic motivational factors influence the willingness to actively and continuously use research data management (RDM) systems.This article synthesizes experiences from two collaborating subprojects on information infrastructure (INF) within two Collaborative Research Centers. Both develop and operate RDM structures for interdisciplinary research consortia in the field of engineering and face comparable challenges: Adhering to the rules of good scientific practice when handling data is under pressure in today’s world; the benefits of individual data entries sometimes remain abstract, and additional process steps can reduce acceptance of technical solutions. The effort involved is primarily evaluated based on whether, from the researchers’ perspective, it yields a recognizable benefit. Based on this, specific approaches for user-oriented integration of different RDM levels are presented. These include the integration of RDM tools into existing research tools and workflows, cross-subproject access to information, as well as SPARQL-based search capabilities and future approaches to knowledge exploration. One concrete example is an implemented adapter that automatically transfers data sets from existing Excel files and electronic lab notebook entries from eLabFTW into the RDM system, thereby reducing the number of required process steps. Since the adapter was deployed, a measurable increase in the number of datasets imported into the RDM system has been observed. Such technical and procedural measures are complemented by workshops, personalized support, systematic feedback, and the continuous adaptation of the systems to the needs of researchers.This poster illustrates that RDM systems must be understood as sociotechnical systems. It is only through the interplay of infrastructure, process integration, communication, and perceived benefits that individual RDM developments can be transformed into a practical service. The collaboration between the two INF subprojects makes it possible to pool experiences, solution approaches, and transferable design principles across institutions and research consortia.}}, author = {{Stichternath, Jasper and Müller, Laura and Schultz, Andreas Maximilian and Koepler, Oliver and Mozgova, Iryna}}, keywords = {{Research Data Management, Research Data Management Systems, User Acceptance, Sociotechnical Systems, Perceived Usefulness, Collaborative Research Centres}}, publisher = {{LibreCat University}}, title = {{{Der Erfolg von FDM-Systemen: Die Rolle von wahrgenommenem Nutzen und Motivation der Anwendenden}}}, doi = {{10.5281/ZENODO.23187775}}, year = {{2026}}, } @misc{67439, abstract = {{Predictive maintenance is a key requirement for autonomous systems, particularly in the rail sector where it enables autonomous rail operation. In order to perform effective condition monitoring and predictive maintenance the integration of operational data, engineering models, and hybrid predictive models is necessary and enables a centralised access to all necessary data. The digital twin (DT) concept fulfils this requirements and is technically realised in the Eclipse BaSyx Asset Administration Shell (AAS) environment as a central hub for capturing models, measuring data and maintenance information. The implementation makes use of Industrial Digital Twin Association-Standards (IDTA) and models the train components in a hierarchical structure. However, in the current BaSyx implementation manually creating the hierarchical DT structures is error-prone and difficult to standardize. This paper presents an adapter that creates and maintains hierarchical DT structures based on predefined concepts. The adapter facilitates the annotation of heterogeneous data and models, their mapping to a desired DT hierarchy, and their deployment into a standardized BaSyx-based AAS infrastructure by providing an easy-to-use user interface. The hierarchical DT structure resembles the hierarchical structure of the system and its models and allows the exchange of parts or components physically and virtually. The development of the adapter accompanied the development of physical, data-driven and hybrid models to enable predictive maintenance for rubber-metal springs in rail bogies. The application is illustratively for predictive maintenance in the rail sector and yielded practical insights for engineering cyber-physical systems. By addressing current user interface limitations, this work provides a scalable, standard-compliant approach for integrating different data sources, creating the initial DT structure and continuously operating a DT in rail maintenance management.}}, author = {{Schultz, Andreas Maximilian and Linneweber, Jill Mercedes and Kelber, Max and Hark, Janik and Müller, Laura and Sextro, Walter and Mozgova, Iryna}}, title = {{{Digitaler Zwilling für die Zustandsüberwachung und vorausschauende Instandhaltung im ATO}}}, year = {{2026}}, } @inproceedings{62728, author = {{Müller, Laura and Hinterthaner, Marc and Ortlieb, Eduard and Mohnfeld, Norman and Schultz, Andreas Maximilian and Uhe, Johanna and Koepler, Oliver and Mozgova, Iryna}}, booktitle = {{IFIP Advances in Information and Communication Technology}}, isbn = {{9783032097033}}, issn = {{1868-4238}}, pages = {{140--150}}, publisher = {{Springer Nature Switzerland}}, title = {{{Getting Things Done: How to Make Simulation Data FAIR and Ready to Reuse}}}, doi = {{10.1007/978-3-032-09704-0_14}}, year = {{2025}}, } @misc{63716, author = {{Schultz, Andreas Maximilian and Mozgova, Iryna and Altun, Osman and Karras, Oliver and Koepler, Oliver and Müller, Laura and Nuenberger, Florian and Röwenstrunk, Daniel and Wawer, Max Leo}}, publisher = {{LibreCat University}}, title = {{{Strukturierte FDM-Plattformen: Aktuelle Lösungen und Herausforderungen in Informationsinfrastrukturprojekten}}}, doi = {{10.5281/ZENODO.17670597}}, year = {{2025}}, } @phdthesis{60469, abstract = {{Wissensmanagement ist im unternehmerischen Kontext ein etabliertes Feld der Forschung und Praxis, das auf die Verbesserung von Effizienz und Wettbewerbsfähigkeit abzielt. In den Organisationen der zivilen Gefahrenabwehr hingegen gibt es erhebliche Defizite bei der Erfassung und Weitergabe von Wissen, obwohl auch hier große Abhängigkeiten vom Erfahrungswissen bestehen. Diese Arbeit analysiert am Beispiel der Feuerwehr die Gründe für diese Diskrepanz und entwickelt ein Konzept, das das Wissensmanagement im Feuerwehrwesen nachhaltig verankern soll. Eine deutschlandweite Umfrage mit 577 Einsatzkräften ergab, dass eine digitale Verwaltungsunterstützung bereits verbreitet ist, das Wissen jedoch vornehmlich per E-Mail, Chat, mündlich oder per Aushang verteilt wird. Die Teilnehmenden wünschen sich eine Lösung für das Wissensmanagement, die im Einsatz, bei Aus- und Weiterbildung sowie der Verwaltungsarbeit unterstützt. Auf der Umfrage und einer systematischen Literaturrecherche aufbauend, wurde der Handlungsbedarf identifiziert. Darauf basieren die Ableitung der Anwendungsbereiche sowie Rahmenbedingungen, welche sich in den Anforderungen an ein Wissensmanagementsystem widerspiegeln. Das Umsetzungskonzept beschreibt die Systemarchitektur der Lösung, die auf einem open-source Wiki mit passenden Erweiterungen beruht. Zentrales Element ist die Möglichkeit zum Austausch von Wissen über Organisationsgrenzen. Abgeschlossen wird die Arbeit mit der Demonstration und Evaluation der Lösung.}}, author = {{Schultz, Andreas Maximilian}}, publisher = {{LibreCat University}}, title = {{{Konzeptionierung eines digitalen Wissensmanagementsystems für die zivile Gefahrenabwehr am Beispiel der Feuerwehr}}}, doi = {{10.17619/UNIPB/1-2315}}, year = {{2025}}, } @inbook{56299, author = {{Schultz, Andreas Maximilian and Dotzki, Fabian and Eisenbach, Thomas and Mozgova, Iryna}}, booktitle = {{Next Chapter in Mobility}}, isbn = {{9783658426460}}, location = {{Duisburg}}, publisher = {{Springer Fachmedien Wiesbaden}}, title = {{{Sicherheit bei Großveranstaltungen – Mobilitätsverhalten und Personenströme im Fokus}}}, doi = {{10.1007/978-3-658-42647-7_54}}, year = {{2024}}, } @misc{63714, author = {{Schultz, Andreas Maximilian and Mozgova, Iryna}}, title = {{{Wissensmanagement in Feuerwehren skalierbare IT-Architektur für Erweiterung und Austausch}}}, year = {{2024}}, } @inproceedings{56655, author = {{Müller, Laura and Schultz, Andreas Maximilian and Altun, Osman and Uhe, Johanna and Koepler, Oliver and Auer, Soeren and Mozgova, Iryna}}, booktitle = {{Proceedings of NordDesign 2024}}, pages = {{514--520}}, publisher = {{The Design Society}}, title = {{{Requirements Analysis of a Research Data Management System in Collaborative Projects}}}, doi = {{10.35199/norddesign2024.55}}, year = {{2024}}, } @inproceedings{57445, abstract = {{Knowledge management is essential for successful disaster management. This paper conducts a Systematic Literature Review at the intersection of the knowledge management field and disaster management and examines the available body of literature. Fire departments are chosen as the focus group as they are the most prevalent emergency services. There are many publications that deal with knowledge management during the response phase of an emergency. Often, the literature focuses on the application of knowledge management in large-scale disasters to link the various organizations on-scene. What is missing in most approaches is a prior step of implementing and training the knowledge management system. Therefore, this literature review seeks to provide an overview of approaches for daily routines and small-to-medium incidents that serve as a training ground. However, literature on non-incident phases and smaller incidents is scarce. As information technologies are developing rapidly, there is no modern and recent description of the current use of knowledge management solutions in this area.}}, author = {{Schultz, Andreas Maximilian and Dotzki, Fabian and Mozgova, Iryna}}, booktitle = {{Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management}}, keywords = {{Knowledge Management, Civil Protection, Systematic Literature Review, Fire Brigade}}, location = {{Porto, Portugal}}, publisher = {{SCITEPRESS - Science and Technology Publications}}, title = {{{Knowledge Management in Civil Protection at the Example of Fire Brigades}}}, doi = {{10.5220/0012947700003838}}, year = {{2024}}, } @inproceedings{54301, author = {{Schultz, Andreas Maximilian and Dotzki, Fabian and Mozgova, Iryna}}, booktitle = {{Proceedings of the 21st ISCRAM Conference}}, editor = {{Penkert, Berthold and Hellingrath, Bernd and Rode, Monika and Widera, Adam and Middelhoff, Michael and Boersma, Kees and Kalthöner, Matthias}}, location = {{Münster}}, title = {{{State of Knowledge Management among German firefighters}}}, doi = {{https://doi.org/10.59297/ndd24w94}}, year = {{2024}}, } @article{22898, author = {{Schultz, Andreas Maximilian and Lamers, Christoph and Koch, Rainer and Lüke, Richard and Sauerland, Torben}}, journal = {{vfdb-Zeitschrift}}, title = {{{IRiS – Intelligente Rettung im SmartHome}}}, volume = {{4}}, year = {{2020}}, } @techreport{48369, author = {{Schultz, Andreas Maximilian and Sauerland, Torben and Werner, Thomas and Rammert, Sebastian and Habig, Therese and Marterer, Robin and Scheuermann, Lars}}, pages = {{44}}, title = {{{Digitale Transformation in der zivilen Gefahrenabwehr}}}, year = {{2019}}, } @techreport{44447, author = {{Schultz, Andreas Maximilian and Di Giovanni, Daniele and Carestia, Mariachiara and Gaudio, Pasquale and Van Heuverswyn, Kathleen and Vybornova, Olga and Cauwenberghs, Bavo and Kiehl, Maximilian and Reich, Wolfgang and Surer, Elif and Pokora, Magdalena and Benson, Elizabeth}}, title = {{{D2.5 Framework and Sustainability plan for the European CBRN Training Centres network}}}, year = {{2019}}, } @techreport{44449, author = {{Schultz, Andreas Maximilian and Kiehl, Maximilian and Marterer, Robin}}, title = {{{D3.8 Report on eNOTICE information and communication platform full operational version (V1)}}}, year = {{2019}}, } @techreport{44450, author = {{Schultz, Andreas Maximilian and Marterer, Robin and Dusserre, Gilles and Di Giovanni, Daniele and Van Heuverswyn, Kathleen and Kiehl, Maximilian and Vybornova, Olga and Reich, Wolfgang and Winter, Sarah}}, title = {{{D3.15 - Links to other CBRN networks and platforms, integration and interface functions on the eNOTICE information and communication platform Report 1}}}, year = {{2019}}, } @techreport{44453, author = {{Schultz, Andreas Maximilian and Van Heuverswyn, Kathleen and Vybornova, Olga and Comas, Fra and Raulin, Nicolas and Pratzler-Wanczura, Sylvia and Carestia, Mariachiara and Di Giovanni, Daniele and Kiehl, Maximilian}}, title = {{{D5.5 eNOTICE Progress report 3}}}, year = {{2019}}, } @techreport{44446, author = {{Schultz, Andreas Maximilian and Raulin, Nicolas and Comas, Francis and Vybornova, Olga and Van Heuverswyn, Kathleen and Cauwenberghs, Bavo and Carestia, Mariachiara and Di Giovanni, Daniele and Kiehl, Maximilian and Surer, Elif}}, title = {{{D2.2 CBRN Training Capacity quality label}}}, year = {{2018}}, } @techreport{44448, author = {{Schultz, Andreas Maximilian and Kiehl, Maximilian and Japs, Anna Maria and Winrter, Sarah}}, title = {{{D3.6 Report on eNOTICE information and communication platform basic version (V0)}}}, year = {{2018}}, } @techreport{44452, author = {{Schultz, Andreas Maximilian and Van Heuverswyn, Kathleen and Vybornova, Olga and Comas, Francis and Raulin, Nicolas and Pratzler-Wanczura, Sylvia and Carestia, Mariachiara and Di Giovanni, Daniele and Kiehl, Maximilian and Johansson, Per-Erik}}, title = {{{D5.4 eNOTICE Progress report 2}}}, year = {{2018}}, }