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Authors: Robert Wagner 1 ; Dagmar Waltemath 2 ; Kristina Yordanova 3 and Markus Becker 1

Affiliations: 1 Leibniz Institute for Plasma Science and Technology (INP), Felix-Hausdorff-Str. 2, Greifswald, Germany ; 2 Medical Informatics Laboratory, University Medicine Greifswald, Felix-Hausdorff-Str. 8, Greifswald, Germany ; 3 Institute for Data Science, University of Greifswald, Felix-Hausdorff-Str. 18, Greifswald, Germany

Keyword(s): Data Management, FAIR Data Principles, Graph Database, Plasma Science.

Abstract: This paper focuses on the ongoing process of establishing a FAIR (Findable, Accessible, Interoperable and Reusable) data workflow for multidisciplinary research and development in applied plasma science. The presented workflow aims to support researchers in handling their project data while also fulfilling the requirements of modern digital research data management. The centerpiece of the workflow is a graph database (utilizing Neo4J) that connects structured data and metadata from multiple sources across the involved disciplines. The resulting workflow intents to enhance the FAIR compliance of the data, thereby supporting data integration and automated processing as well as providing new possibilities for user friendly data exploration and reuse.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wagner, R.; Waltemath, D.; Yordanova, K. and Becker, M. (2024). Towards FAIR Data Workflows for Multidisciplinary Science: Ongoing Endeavors and Future Perspectives in Plasma Technology. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-707-8; ISSN 2184-285X, SciTePress, pages 471-477. DOI: 10.5220/0012808000003756

@conference{data24,
author={Robert Wagner. and Dagmar Waltemath. and Kristina Yordanova. and Markus Becker.},
title={Towards FAIR Data Workflows for Multidisciplinary Science: Ongoing Endeavors and Future Perspectives in Plasma Technology},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA},
year={2024},
pages={471-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012808000003756},
isbn={978-989-758-707-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - DATA
TI - Towards FAIR Data Workflows for Multidisciplinary Science: Ongoing Endeavors and Future Perspectives in Plasma Technology
SN - 978-989-758-707-8
IS - 2184-285X
AU - Wagner, R.
AU - Waltemath, D.
AU - Yordanova, K.
AU - Becker, M.
PY - 2024
SP - 471
EP - 477
DO - 10.5220/0012808000003756
PB - SciTePress

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