Preprints
Filtering by Subject: Data Infrastructure
Current practices and barriers for adoption of Software Management Plans
Inga Ulusoy, Giacomo Lanza, David Walter, et al.
Data Infrastructure
Research software is nowadays fundamental to scientific advances; however, it remains under-recognised compared to data and publications, with challenges affecting reproducibility and quality. To address this, Software Management Plans (SMPs) have been proposed as structured tools to document and organise software development throughout its lifecycle. We conducted a survey among researchers and [...]
NFDI-RFC - A Community Driven Standardization Service for Research Data Management
Michael Selzer, Christian Langenbach
Data Economics, Data Ethics, Data Governance, Data Infrastructure, Data Literacy, Data Management Software, Data Sets
Standardization is pivotal for making research data FAIR, this means findable, accessible, interoperable, and reusable - across disciplines and infrastructures. Inspired by the Inter- net Engineering Task Force’s (IETF) Request for Comments (RFC) model, we introduce NFDI-RFC, a community-driven service for the specification, discussion, and dissemination of research data management (RDM) [...]
Digital platforms for transport research - status quo and future perspectives
Regine Gerike, Matthias Fuchs, Sebastian Dengel, et al.
Data Governance, Data Infrastructure, Data Literacy
This research article systematizes the current state and future perspectives of digital platforms in transport research, driven by increasing digitalization and data availability. Following an interdisciplinary expert workshop and a desk review of 36 non-commercial platforms, the study identifies EU regulatory frameworks (e.g., the ITS Directive) and viable commercial business models as primary [...]
Searching for a vision on research data management providing guidance, decision support, tools and automation
Tobias Hamann M.Sc., Katja Jansen, Giacomo Lanza, et al.
Data Governance, Data Infrastructure, Data Literacy, Data Management Software
Arising demands of funding organisations, universities and institutions towards research data management (RDM) force researchers to provide reusable data. Jarves provides the overall process with decision. RDMO and Coscine add DMPs, data annotation and storage respectively. Progressing digitalisation and newly arising technologies are continually increasing the demand for reusable data and the [...]
PRO Research Process 4Ing: Project- and RDM-Oriented Research Process for Engineering Sciences
Tobias Hamann M.Sc., Michèle Robrecht, Marcos Alexandre Galdino, et al.
Data Governance, Data Infrastructure
In a first paper [1], we have shown the absence as well as the importance of a project-oriented research data management (RDM) process for engineering sciences. We argue that the integration of RDM into the practice would greatly benefit by the availability of such project-oriented RDM process. While many RDM and engineering research processes already exist, a combination of both was only [...]
Pragmatic Research Data Management for Heterogenous Sensor Data
Matthias Bodenbenner, Tobias Hamann M.Sc., Mario Moser, et al.
Data Infrastructure, Data Management Software
Research Data Management (RDM) is essential to facilitate open, effective, and accountable research. However, embedding RDM in researchers’ workflows is mainly hampered by two aspects: lack of incentives for RDM adoption, and limited knowledge about tools and services supporting RDM. We address this issue by implementing a standardized data description model and describe how we applied effective [...]
Towards a Specification for Recombinable Benchmarks and Software Tools
Simon Dierl, Falk Howar
Data Governance, Data Infrastructure
We consider research that is based on implementing software tools from novel ideas and evaluating them by executing the tools against benchmarks. Subsequent research project would benefit from freely recombining existing and novel tools and benchmarks to acquire data. However, existing approaches for distributing tools and artifacts do not allow recombination. We propose an approach for packaging [...]
Envisioning and proposing Data Mesh for Research Data Management in the Engineering Sciences
Mario Moser, Tobias Hamann, Anas Abdelrazeq, et al.
Data Infrastructure
Research Data Management (RDM) in the engineering sciences relies on repositories to publish and reuse datasets. However, data from the various engineering sciences disciplines is scattered in a fragmented landscape of generic and discipline-specific repositories. This makes discoverability more difficult, especially for interdisciplinary dataset search. Due to their nature, generic repositories [...]
Semantic modeling patterns for application-specific metadata profiles fostering interoperability and consistency illustrated using an example from mechanical and process engineering
Nils Preuß, Matthias Bodenbenner, Benedikt Heinrichs, et al.
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 single one widely used subject-specific metadata schemata or terminologies have been established for the field of mechanical engineering especially in experimental contexts (as well as for other disciplines in engineering and beyond facing similar [...]
Matching Data Life Cycle and Research Processes in Engineering Sciences
Tobias Hamann M.Sc., Michèle Robrecht, Max Leo Wawer, et al.
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.
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.
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
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.
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.
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 [...]