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

Research output: Contribution to journalResearch articleContributedpeer-review


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.


Original languageEnglish
Article number41
Number of pages7
JournalAGILE: GIScience Series
Publication statusPublished - 1 Jun 2021

External IDs

ORCID /0000-0003-4689-1227/work/110632169
ORCID /0000-0002-5181-4368/work/144671054



  • automated metadata extraction, data quality, ISO 19115, metadata management

Library keywords