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Presentation . 2022
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Presentation . 2022
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Catalysis Research Data Management – From Ontologies to Electronic Lab Notebooks

Authors: Behr, Alexander; Kockmann, Norbert;

Catalysis Research Data Management – From Ontologies to Electronic Lab Notebooks

Abstract

The slides were created for a workshop at the NFDI Satellite Event at the Joint Conference of Digital Libraries (JCDL) 2022. Workshop abstract: Catalysis research is interdisciplinary, data are generated in several sub-steps and, thanks to new tools, in large quantities. Currently, data management in catalysis is mostly organized at the working group level or, at most, at the institute level and is based on local conventions. As a result, much of the data remains unused. A fundamental, digital transformation in catalysis science, process and chemical engineering is needed to get the most value out of the data, for example: standardizing concepts, vocabularies, and data formats, as well as creating networked information architectures that enable the storage and exchange of semantically rich data. NFDI4Cat has created this 90-minute workshop to help you understand the importance of RDM, present some key tech skills in catalysis research, and show you where to start if you want to start shaping the future of catalysis.

Keywords

NFDI, Electronic Lab Notebooks, Ontology development, Catalysis, NFDI4Cat

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selected citations
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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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