Abstract
Abstract. In Earth System Sciences, a data-driven research domain, several communities discuss the importance, guidance and implementation of making research data findable, accessible, interoperable, and reusable. To foster these principles, in particular to support reusability, users need easy-to-use user interfaces with meaningful visualizations for detailed metainformation, e.g. on dataset’s origin and quality. However, visualization tools to facilitate the evaluation of fitness for use of ESS research data on domainspecific metainformation, do hardly exist.We provide a Geo-dashboard concept for user-friendly interactive and linked visualizations of provenance and quality information using standardized geospatial metadata. A provenance graph visualization serves as overview and entry point for further evaluations. Quality information is essential to evaluate the fitness for use of data. Therefore, we developed quality visualizations on several levels of detail to foster evaluation, e.g. by enabling users to choose and classify quality parameters based on their use-case-specific needs.
Highlights
In recent years, the publication of research data as a major output of research projects in Earth System Sciences (ESS) has become more established
Quality information is strongly linked to provenance information, describing characteristics of the data and is essential to evaluate the fitness for use of data
Provenance information describes the origin or history of data and is essential to evaluate the fitness for use
Summary
The publication of research data as a major output of research projects in Earth System Sciences (ESS) has become more established. Reproducibility Network: https://reproducibilitynetwork.de/, methods of research data management, like openness, reuse and reproducibility, making data findable, accessible, interoperable, and reusable (FAIR) (Wilkinson et al, 2016, Roos et al, 2016, Magagna et al, 2020). They strengthen the relevance of detailed descriptions of the data, in particular data quality and provenance. We provide a user-friendly visualization concept for linked provenance and quality information to support the evaluation of ESS research data. In the proposed Geo-dashboard concept, we include established visualization concepts, like a graph-based visualization for provenance, tabular/chart views for data quality and a map, built on available, well-known and well-used, metadata schemas for ESS data
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