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Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures

International Journal of Digital Earth 2023年第1期16卷 1510-1529页

作者： Julia Fischer Lukas Egli Juliane Groth Caterina Barrasso Steffen Ehrmann Heiko Figgemeier Christin Henzen Carsten meyer ralph müller-pfefferkorn Arne Rümmler michael Wagner Lars Bernard Ralf Seppelt Department of Computational Landscape Ecology UFZ—Helmholtz Centre for Environmental ResearchLeipzigGermany macroecology and Society Group German Centre for Integrative Biodiversity Research(iDiv)Halle-Jena-LeipzigLeipzigGermany Chair of Geoinformatics Technische Universität DresdenDresdenGermany Institute of Biology Leipzig UniversityLeipzigGermany Institute of Geoscience&Geography Martin Luther University Halle-WittenbergHalle(Saale)Germany Center for Information Services and High Performance Computing Technische Universität DresdenDresdenGermany

Geospatial data are fundamental in most global-change and sustainability-related ***,readily accessible information on data quality and provenance is often missing or hardly accessible for users due to technical or perceptual barriers,for example,due to unstructured metadata information or missing *** an interdisciplinary process encompassing perspectives of data users,data producers,and software developers,we identified major needs to facilitate effectivefitness-for-use assessments by data users and developed approaches to address *** provided a stylized analysis of large-scale land use data to showcase selected *** support data users,interoperable quality and provenance information need to be meaningfully *** producers need efficient workflows and tools supporting them in creating high-quality,structured and detailed quality and provenance *** newly developed approaches to increase the availability of structured metadata synthesize new and existing tools to extract metadata or to generate provenance data during *** our approaches to improve interoperability and accessibility we present novel tools to support(i)the creation of curated and linked registers of data quality indicators and thematic terms,and(ii)linked visualization of data quality and provenance *** our approaches increases transparency,facilitatesfitness-for-use assessments,and ultimately improves research quality.

关键词： Dashboard earthsystem science fitness forpurpose ISO 19157 landuseandland cover data ontology

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