|Publisher DOI:||10.5281/zenodo.4091401||Title:||Metadata schema and ontologies for FAIR research data in plasma technology||Language:||English (United States)||Authors:||Becker, Markus M.
Vilardell Scholten, Laura
|Issue Date:||6-Oct-2020||Project:||Blockchains und Knowledge Graphen zur Entwicklung und Erprobung von Qualitätskriterien und semantischen Metadaten für Forschungsdaten in der Plasmatechnologie||Conference:||Gaseous Electronics Conference 2020||Abstract:||
The findability (F), accessibility (A), interoperability (I), and re-usability (R) of research data are essential and acknowledged factors for an efficient re-use of data, e.g. for data driven science. However, in the field of plasma technology there is currently a lack of common standards and tools to publish data according to these FAIR data principles. To address this issue, the present contribution reports on the development of a modular metadata model for the representation of subject- and method-specific metadata in the field of plasma technology, which is based on the core plasma metadata schema, Plasma-MDS (https://arxiv.org/abs/1907.07744). The linking and semantic description of the metadata modules are carried out via ontologies. The developed tools and services are made available via a plasma technology knowledge graph and the data platform https://www.inptdat.de/. They are intended to be reviewed and further developed by the low-temperature plasma community to provide a common basis for open science and research data management according to the FAIR principles.
|URI:||https://reposit.haw-hamburg.de/handle/20.500.12738/10009||Institute:||Forschungs- und Transferzentrum Digitale Wirtschaftsprozesse
Fakultät Life Sciences
|Type:||Poster||Funded by:||Bundesministerium für Bildung und Forschung|
|Appears in Collections:||Publications without full text|
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