A Geo-Dashboard Concept for the Interactively Linked Visualization of Provenance and Data Quality for Geospatial Datasets

Research output: Contribution to conferencesPosterContributedpeer-review

Contributors

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.

Details

Original languageEnglish
Pages1-8
Number of pages8
Publication statusPublished - Apr 2021
Peer-reviewedYes

Conference

Title24th AGILE Conference on Geographic Information Science
SubtitleGeospatial Technologies: on the verge of change
Abbreviated titleAGILE 2021
Conference number24
Duration8 - 11 June 2021
Locationonline

External IDs

ORCID /0000-0002-5181-4368/work/145224193
Mendeley 8a0195dd-01e1-3b22-9009-6f9c501a7368

Keywords

Keywords

  • provenance, data quality, geo-dashboard, metadata