Research Data Management and Tools in NFDI4Energy – An Introduction for Early-Career Researchers

Corinna Seiwerth Research Data Management and Tools in NFDI4Energy –An Introduction for Early-Career Researchers © Friedrich-Alexander-Universität ErlangenNürnberg About Me •Name & Position •Corinna Seiwerth, M. Sc. •Research Associate, Chair of Computer Networks and Communication Systems, FAU Erlangen-Nürnberg •Background •M.Sc. Computer Science, FAU Erlangen-Nürnberg •Working student at Siemens Mobility (during studies) •Current Research •Since June 2023: Research in NFDI4Energy project •Focus: Distributed simulation of energy systems 13.10.2025 NFDI4Energy 2 13.10.2025 NFDI4Energy 3 Computer Networks and Communication Systems Lab Reinhard German 15 PhDs + externals, 4 Postdocs Quality-of-Service and Connected Mobility (Dr. Kai-Steffen Hielscher) -performance/dependability/real-time analysis -5G/6G, vehicular/industrial/satellite communications Network Security (Dr. Loui Al-Sardy) -Network Fuzzing, Intrusion Detection Systems -Network Security Simulation Smart Energy (Dr. Peter Bazan) -power system, sector coupling, electric mobility -(distributed) simulation, QoS of ICT for energy Collaborations Motivation NFDI4Energy 4 Why create a research data infrastructure for energy system research? 13.10.2025 [1] [2] [3] [4] [5] [6] [7] [8] What do we need to better handle research data? 13.10.2025 NFDI4Energy 5 Planning Production Analysis Storage Access Re-Use What is Research Data Management (RDM)? •Definition •RDM includes all activities to organize, document, store, and share research data across the entire research process. •Goals •Make data findable & understandable •Increase quality, transparency & reproducibility •Enable reuse & collaboration •Fulfill funders’ & journals’ requirements 13.10.2025 NFDI4Energy 6 Reusable Research Artifacts •Principles to make research artifacts reusable by Wilkinson et al. [1] •Research artifacts should be: 13.10.2025 NFDI4Energy 7 Findable Accessible Interoperable Reusable [1] M. D. Wilkinson et al., “The FAIR Guiding Principles for scientific data management and stewardship,” Sci Data, vol. 3, no. 1, Art. no. 1, Mar. 2016, doi: 10.1038/sdata.2016.18. Research Data Management Course for Energy Research •Focus: FAIR Data Principles •Practical: Data Management Plans, handling simulation/software data •Topics: Lifecycle, Preservation, Sharing, Legal & Ethical aspects •Interactive course with real-world examples •Platform: LiaScript •Funded by EFZN, developed by Univ. Oldenburg, supported by ZDIN & NFDI4Energy 13.10.2025 NFDI4Energy 8 https://liascript.github.io/course/?https://raw.githubusercontent.com/NFDI4Energy/EFZN_rdm/ main/README.md#1 NFDI 13.10.2025 NFDI4Energy 10 NFDI4Energy Service Portfolio •Leibniz Data Manager •Terminology Service •Simulation-as-a-Service Hub •Research Data Management Course •Open Research Knowledge Graph •Open Energy Platform •Open Energy Database •Open Energy Databus •Open Energy Factsheets 13.10.2025 NFDI4Energy 17 Terminology Service •Conceptual representation of knowledge with relationships between concepts in lists of standard terms (classifications), and lexical tools that facilitate the search for terms. •Single point of access to terminologies from domains such as architecture, chemistry, computer science, mathematics and physics •Browse ontologies through the website or use its API to retrieve terminological information to use it in technical services 13.10.2025 NFDI4Energy 18 Domain Ontology Represents knowledge in the energy systems domain. Establishes groundwork for the other NFDI4Energy ontologies. Socio-Political Ontology Represents energy-relevant social and political policy factors. Energy Simulation Software Ontology Represents software for energy systems modeling & simulation. Simulation Scenario Ontology Represents energy systems modeling & simulation scenarios (including laboratory and hardware-in-the-loop testing) Long-Term Scenario Ontology Represents long-term energy system scenarios; standardizes scenario structure to simplify comparisons. Ontology Scope and Applications 13.10.2025 NFDI4Energy 19 Existing Ontology Investigation: Collection An NFDI4Energy Terminology Service collection now contains several existing energy ontologies. 13.10.2025 NFDI4Energy 20 Open Energy Platform •Open infrastructure to make energy system modelling transparent, reproducible, and collaborative. •Key purpose: share data, scenarios, models; provide tools and standards for openness. •Supports community engagement: uploading data, using open licenses, contributing ontology & scenario bundles. Database Upload, browse, download datasets under open license. Scenario Bundles Combine datasets, models, metadata to describe energy system scenarios. Ontology (Open Energy Ontology, OEO) Shared vocabulary & relationships to annotate and connect data. Academy Tutorials, courses, documentation to teach how to use OEP / OEF tools. 13.10.2025 NFDI4Energy 21 Open Energy Database •Purpose: •Central repository within OEP for structured, version-controlled, and validated energy datasets. •Supports both human and machine-readable data access via API. •Designed to ensure reproducibility and long-term availability of energy data. •Key Features: • FAIR-compliant metadata (schema.org, DCAT, etc.) • Version control for datasets • REST API access for integration with models and scripts • Data validation and quality checks • Open licensing 13.10.2025 NFDI4Energy 22 Open Research Knowledge Graph (ORKG) •The ORKG is a digital infrastructure that represents scientific knowledge in a machine-readable, structured way. •Instead of just storing papers as text, it captures their core contributions (e.g., problem, method, results) as interlinked data. •Developed by the TIB Hannover, it is part of the NFDI4Energy ecosystem to enhance research transparency and comparability. Structured Contributions Machine Readable Semantic Linking Comparison view 13.10.2025 NFDI4Energy 23 Comparing research via ORKG NFDI4Energy 2417.06.2024 NFDI4Energy and NFDI in Romania 13.10.2025 NFDI4Energy 25 NFDI on European Level •European Open Science Cloud (EOSC) focuses on supporting researchers on the European level •NFDI •is the mandated organization for Germany in the EOSC •ensures the interoperability with European and International standards in respect to research data management •European activities to integrate diverse data space activities, including esp. industry driven 26 13.10.2025NFDI4Energy