Preprints

Filtering by Subject: Data Infrastructure

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 [...]