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Based on Research Data Management (RDM) and the FAIR data principles, we will focus on the reproducibility of results and in particular measures to make scientific experiments including all their artifacts transparent and available in an appropriate manner along the research data lifecycle. Our vision is to interoperably integrate and extend existing infrastructures for research data, software, and documentation into a modular digital research toolkit that supports reproducible research management (RRM). The HeFDI Data Talks are a bi-weekly open information and discussion event around the topic of data management in the context of science, in which relevant NFDI consortia as well as research data management services present themselves. The series discusses current topics and introduces numerous tools and services, including local and regional ones. If you have suggestions or feedback regarding topics, please feel free to contact the HeFDI office (hefdi@uni-marburg.de). If you would like to receive regular updates on our offerings and events, sign up for our newsletter or follow us on Twitter @He_FDI.
The HeFDI Data Talks are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).
FDM, FAIR principles, Datenmanagement, maschinelles Lernen, Forschungsdatenmanagement, FAIR-Prinzipien, machine learning, RDM, Reproduzierbarkeit, Datenlebenszyklus, data management, data life cycle, research data management, reproducibility, Software
FDM, FAIR principles, Datenmanagement, maschinelles Lernen, Forschungsdatenmanagement, FAIR-Prinzipien, machine learning, RDM, Reproduzierbarkeit, Datenlebenszyklus, data management, data life cycle, research data management, reproducibility, Software
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |