Speakers
Description
Making research data reusable in an open and FAIR [1] way is part of good scientific practice and is increasingly becoming part of the scientific workflow. Where and how "FAIR" research data is published alongside a research paper, is often not tracked by research institutes. In a pilot project of the Helmholtz Metadata Collaboration (HMC) Hub Matter we developed an approach to automatically find and catalogue publicly accessible datasets published by researchers of selected Helmholtz centers. These datasets are assessed with respect to the FAIR data guidelines using the F-UJI tool. [2,3] The results are gathered and visualized in an interactive pilot dashboard. This assists HMC Hub Matter to identify and characterize repositories used by the Matter community and to identify key actions for engaging with repository infrastructure and research communities. In this poster, we discuss the different steps of the data collection and the first results.
[1] https://doi.org/10.1038/sdata.2016.18
[2] https://doi.org/10.5281/zenodo.4063720
[3] https://doi.org/10.5281/zenodo.6461229
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HMC Hub Matter
In addition please add keywords.
Data-Management, Data-Mining, FAIR, Matter
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