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Auflistung nach Schlagwort "research data management"

1 - 3 von 3
  • Textdokument
    Including Data Management in Research Culture Increases the Reproducibility of Scientific Results
    (INFORMATIK 2022, 2022) Riedel,Christian; Geßner,Hendrik; Seegebrecht,Anja; Ayon,Safial Islam; Chowdhury,Shafayet Hossen; Engbert,Ralf; Lucke,Ulrike
    Reproducible research results are among the pillars of sustainable science, and considerable progress has been achieved in this direction recently. However, there is much room for improvement across the research communities. Here we analyze the reproducibility of 108 publications from an interdisciplinary Collaborative Research Center on applied mathematics in various scientific fields. Based on a previous reproducibility study in hydrology, we identify the rate of reproducible scientific results and why reproducibility fails. We identify the main problems that hinder reproducible results and relate them to previous interventions targeting the research culture of reproducible scientific findings. Thus, the success of our measures can be estimated, and specific recommendations for future work can be derived. In our study, the number of publications that allow for at least partly reproducible research results increased over time. However, we see an ongoing need for directives and support in research data management among research communities since issues concerning data accessibility and quality limit the reproducibility of scientific results. We argue that our results are representative of other interdisciplinary research areas.
  • Konferenzbeitrag
    On the Lack of Recognition of Software Artifacts and IT Infrastructure in Educational Technology Research
    (20. Fachtagung Bildungstechnologien (DELFI), 2022) Kiesler, Natalie; Schiffner, Daniel
    In the context of educational technology research, it is common practice that computer scientists and IT specialists provide support in terms of software and infrastructure for data gathering and processing, storage, analysis and many other services. Ever since Big Data, Learning Analytics and machine learning algorithms have become increasingly feasible, the implementation of programs can be considered a cornerstone of today’s professional research. Contrary to this trend, software as a method for research is hardly recognized within the community, conferences and publication organs. The same applies to processed research data. Therefore, the authors question the current practices and lack of FAIRness related to the publication of software artifacts by discussing the challenges in terms of acknowledgements, review processes, reproducibility and reuse. The paper concludes with recommendations for future FAIR and Open Science practices.
  • Textdokument
    pSTAIX - A Process-Aware Architecture to Support Research Processes
    (INFORMATIK 2017, 2017) Politze, Marius; Decker, Bernd; Eifert, Thomas
    Universities IT service providers are faced with rising demands on existing IT systems and higher degrees of individualization. The challenge thus is to provide services that researchers can use today but that are flexible and sustainable enough to also support tomorrows’ research processes. Emerging from previous projects supporting administrative and learning processes, a reference architecture is proposed that aims at providing a general guideline to build process-aware services supporting eResearch. The proposed architecture gives guidance on structuring development and operation of services and formalizes how existing IT systems transition into process-aware services.