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. 
Franke, Steffen 
Loffhagen, Detlef 
Vilardell Scholten, Laura 
Skwarek, Volker  
Tschirner, Simon 
Hoppe, Fabian 
Tietz, Tabea 
Sack, Harald 
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 
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 ( 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 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.
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

Show full item record

Page view(s)

checked on Mar 4, 2021

Google ScholarTM


Add Files to Item

Note about this record


Items in REPOSIT are protected by copyright, with all rights reserved, unless otherwise indicated.