Preprints
Filtering by Subject: Data Infrastructure
Creating application-specific metadata profiles while improving interoperability and consistency of research data for the engineering sciences
Nils Preuß, Matthias Bodenbenner, Benedikt Heinrichs, et al.
2024-10-14 Data Infrastructure, Data Management Software
Due to the heterogeneity of data, methods, experiments, and research questions and the necessity to describe flexible and short-lived setups, no widely used subject-specific metadata schemata or terminologies have been established for the field of engineering (as well as for other disciplines facing similar challenges). Nevertheless, it is highly desirable to realize consistent and [...]
Matching Data Life Cycle and Research Processes in Engineering Sciences
Tobias Hamann M.Sc., Michèle Robrecht, Max Leo Wawer, et al.
2024-06-20 Data Governance, Data Infrastructure, Data Literacy, Data Management Software
Research data management (RDM) has become increasingly significant, focusing on ensuring the most benefit from data creation. This especially applies within the engineering sciences, where many different sources generate big amounts of heterogeneous data. However, integrating RDM into day-to-day work is difficult. Thus, methods need to be defined to effectively and conveniently manage research [...]
Collaborative creation and management of rich FAIR metadata: Two case studies from robotics field research
Christian Backe, Veit Briken, Atefeh Gooran Orimi, et al.
2024-06-10 Data Infrastructure
This paper presents lessons learned from the creation and management of FAIR (Findable, Accessible, Interoperable, Reusable) data and metadata in two recent robotics projects, in order to derive principles and building blocks for collaborative (meta)data management in field research. First, an inventory of metadata purposes and topics is presented, distinguishing between executive metadata [...]
How to Make Bespoke Experiments FAIR: Modular Dynamic Semantic Digital Twin and Open Source Information Infrastructure
Manuel Rexer, Nils Preuß, Sebastian Neumeier, et al.
2024-06-03 Data Infrastructure, Data Sets
In this study, we apply the FAIR principles to enhance data management within a modular test environment. By focusing on experimental data collected with various measuring equipment, we develop and implement tailored information models of physical objectes used in the experiments. These models are based on the Resource Description Framework (RDF) and ontologies. Our objectives are to improve data [...]
How to teach good research data management to next generation researchers?
Syed Ashfaq Hussain Shah, Frank Petzold
2024-04-11 Data Governance, Data Infrastructure, Data Literacy
These days research work is subject to comply with FAIR principles. Additionally, it is subject to the practices of Open Science. Different stakeholders e.g. DFG are setting the goals of reproducible research work. This not only requires adequate handling of data but also the record of related information and practices during the research work. In this way, different tools and workflows are being [...]
A survey on the dissemination and usage of research data management and related tools in German engineering sciences
Tobias Hamann M.Sc., Amelie Metzmacher, Patrick Mund, et al.
2024-02-28 Data Governance, Data Infrastructure, Data Literacy, Data Management Software
As the amount of collected and analysed data increases, a need for data management arises to ensure its usability. This also applies in research. This challenge can be addressed by Research Data Management (RDM), which brings clear focus on the reusability of data. To understand the status quo of the application of research data management in engineering sciences in Germany, as well as possible [...]
Challenges in publishing research data – a Fraunhofer Case Study
Andrea Wuchner, Michèle Robrecht, Pierre Kehl, et al.
2023-08-14 Data Infrastructure
Sharing of research data is becoming more and more established as part of the scientific process, triggered by corresponding requirements of research funders. A large number of subject-specific and institutional research data repositories were created as publication agents for the research data. Nevertheless, the publication processes are not yet established and need to find a way to best [...]
An Empirical Study of the State of Research Data Management in the Semiconductor Manufacturing Industry
Dirk Ortloff, Sabrina Anger, Martin Schellenberger
2023-06-07 Data Infrastructure, Data Management Software
The paper presents insights into the situation concerning research data management (RDM) in the high-tech manufacturing industry and respective research institutions. Besides standards and guidelines, data management and its degree of formalization play a decisive role in digital transformation in all organizations. The authors of this study benefited from the opportunity arising within the [...]
RDM Platform Coscine - FAIR play integrated right from the start
Ilona Lang, Marcel Nellesen, Marius Politze
2023-05-05 Data Infrastructure, Data Management Software
Nowadays, researchers often need to distribute their research data among a multitude of service providers with varying (if any) levels of maturity in terms of FAIR research data management (RDM). To provide researchers with a single point of access to their project data and to add a FAIR layer to already established services, the RDM platform Coscine was developed. Within Coscine different [...]
Towards Improved Findability of Energy Research Software by Introducing a Metadata-based Registry
Stephan Ferenz, Astrid Nieße
2023-03-01 Data Infrastructure, Data Management Software
Research software in the energy domain becomes increasingly important for the analysis, simulation, and optimization of energy systems and supports design decisions in the required transition of energy systems to tackle the climate crisis. To make energy research software (ERS) more findable, it should be described with metadata following the FAIR (findable, accessible, interoperable, and [...]