Preprints
There are 32 Preprints listed.
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 [...]
The Applicability of the Persistent Identification of Instruments (PIDINST) Metadata Schema for complex compound instruments
Sac Medina, Federico Guillermo Diaz Capriles, Christian Langenbach, et al.
Data Literacy
The Persistent Identification of Instruments (PIDINST) schema, developed by the Research Data Alliance (RDA), provides a standardized framework for globally unique, persistent identifiers to scientific instruments. In this paper, we explore the applicability of the PIDINST metadata schema to three experimental facilities from different research areas of the German Aerospace Center (DLR). We aim [...]
Plot Serializer - A Tool for Creating FAIR Data for Scientific Figures
Michaela Leštáková, Ning Xia, Julius Florstedt
Data Management Software
To fight the reproducibility crisis in science, more and more researchers are adopting the practice of sharing their research data. However, making research data comprehensible and reusable for others often takes significant amount of time and effort. This software descriptor introduces Plot Serializer, a Python package for supporting researchers in creating FAIR datasets corresponding to the [...]
SOFIRpy - Co-Simulation Of Functional Mock-up Units (FMUs) with Integrated Research Data Management
Daniele Inturri, Kevin Logan, Michaela Leštáková, et al.
Data Management Software
Optimising the operation of physical systems can lead to significant energy savings. This underscores the importance for researchers in academia and industry to focus on innovative control strategies. SOFIRpy, a framework for co-simulation of functional mock-up units (FMUs) with integrated research data management proposed in this paper, aims to assist them in studying and implementing these [...]
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.
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.
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 [...]
Simplified Object Detection for Manufacturing: Introducing a Low-Resolution Dataset
Jonas Maximilian Werheid, Shengjie He, Tobias Hamann, et al.
Data Sets
Machine learning (ML), particularly within the domain of computer vision (CV), has establishedsolutions for automated quality classification using visual data in manufacturing processes.Object detection as a CV method for quality classification provides a distinct advantagein enabling the assessment of items within the manufacturing environment, regardless oftheir location in images. However, [...]