Preprints
Filtering by Subject: Data Management Software
Plot Serializer - A Tool for Creating FAIR Data for Scientific Figures
Michaela Leštáková, Ning Xia, Julius Florstedt
2025-04-14 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.
2024-12-16 Data Management Software
Optimising the operation of physical systems can lead to significant energy savings. This underscores the importance of researchers, planners and operators to focus on innovative control strategies. \textbf{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 [...]
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 [...]
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 [...]
h5RDMtoolbox - A Python Toolbox for FAIR Data Management around HDF5
Matthias Probst, Balazs Pritz
2023-10-11 Data Management Software
Sustainable data management is fundamental to efficient and successful scientific research. The FAIR principles (Findable, Accessible, Interoperable and Reusable) have been proven to be successful guidelines to enable comprehensible analysis, discovery and re-use. Although the topic has recently gained increasing awareness in both academia and industry, the engineering sciences in particular are [...]
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 [...]
From Ontology to Metadata: A Crawler for Script-based Workflows
Giuseppe Chiapparino, Benjamin Farnbacher, Nils Hoppe, et al.
2023-04-27 Data Management Software
The present work introduces HOMER (High Performance Measurement and Computing tool for Ontology-based Metadata Extraction and Re-use), a python-written metadata crawler that allows to automatically retrieve relevant research metadata from script-based workflows on HPC systems. The tool offers a flexible approach to metadata collection, as the metadata scheme can be read out from an ontology file. [...]
Agile Research Data Management with Open Source: LinkAhead
Daniel Hornung, Florian Spreckelsen, Thomas Weiß
2023-03-28 Data Management Software
Research data management (RDM) in academic scientific environments increasingly enters the focus as an important part of good scientific practice and as a topic with big potentials for saving time and money. Nevertheless, there is a shortage of appropriate tools, which fulfill the specific requirements in scientific research. We identified where the requirements in science deviate from other [...]
Betty’s (Re)Search Engine: A client-based search engine for research software stored in repositories.
Vasiliy Seibert, Andreas Rausch, Stefan Wittek
2023-03-09 Data Management Software
Promoting research, without providing the source code that was used to conduct the research, means a greater effort for every researcher down the line. Existing solutions that aim to make research software FAIR [1], fail to provide a wholesome solution, for they do not sufficiently consider already existing research software stored on platforms like GitHub or organizational GitLabs. We therefore [...]
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 [...]
Evaluation of tools for describing, reproducing and reusing scientific workflows
Philipp Diercks, Dennis Gläser, Ontje Lünsdorf, et al.
2022-12-06 Data Management Software
In the field of computational science and engineering, workflows often entail the application of various software, for instance, for simulation or pre- and postprocessing. Typically, these components have to be combined in arbitrarily complex workflows to address a specific research question. In order for peer researchers to understand, reproduce and (re)use the findings of a scientific [...]
plotID - a toolkit for connecting research data and visualization
Martin Hock, Hannes Mayr, Manuela Richter, et al.
2022-09-05 Data Management Software
The highest amount of published information on paper is contained in visualizations such as 2D and or 3D plots. Supporting a generic research workflow, plotID provides tools that can a) create and anchor a reference (ID code, URL,...) for and b) package figures, data, code and parameters used to create the figure. The code is provided as tools with small impact, that need to be used [...]