Journal cover Journal topic
AGILE: GIScience Series Open-access proceedings of the Association of Geographic Information Laboratories in Europe
Journal topic
Articles | Volume 2
AGILE GIScience Ser., 2, 41, 2021
https://doi.org/10.5194/agile-giss-2-41-2021
AGILE GIScience Ser., 2, 41, 2021
https://doi.org/10.5194/agile-giss-2-41-2021

  04 Jun 2021

04 Jun 2021

A Research Data Infrastructure Component for the Automated Metadata and Data Quality Extraction to Foster the Provision of FAIR Data in Earth System Sciences

Michael Wagner1, Christin Henzen2, and Ralph Müller-Pfefferkorn1 Michael Wagner et al.
  • 1Centre for Information Services and High Performance Computing (ZIH), Technische Universität Dresden, Germany
  • 2Chair of Geoinformatics, Technische Universität Dresden, Germany

Keywords: Metadata management, automated metadata extraction, data quality, ISO 19115

Abstract. Metadata management is core to support discovery and reuse of data products, and to allow for reproducibility of the research data in Earth System Sciences (ESS). Thus, ensuring acquisition and provision of meaningful and quality assured metadata should become an integral part of data-driven ESS projects.

We propose an open-source tool for the automated metadata and data quality extraction to foster the provision of FAIR data (Findable, Accessible, Interoperable Reusable). By enabling researchers to automatically extract and reuse structured and standardized ESS-specific metadata, in particular quality information, in several components of a research data infrastructure, we support researchers along the research data life cycle.

Publications Copernicus
Download
Citation