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

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 

机构地区：[1]Department of Computational Landscape Ecology,UFZ—Helmholtz Centre for Environmental Research,Leipzig,Germany [2]Macroecology and Society Group,German Centre for Integrative Biodiversity Research(iDiv)Halle-Jena-Leipzig,Leipzig,Germany [3]Chair of Geoinformatics,Technische Universität Dresden,Dresden,Germany [4]Institute of Biology,Leipzig University,Leipzig,Germany [5]Institute of Geoscience&Geography,Martin Luther University Halle-Wittenberg,Halle(Saale),Germany [6]Center for Information Services and High Performance Computing,Technische Universität Dresden,Dresden,Germany

出　　处：《International Journal of Digital Earth》2023年第1期1510-1529,共20页国际数字地球学报（英文）

基　　金：funding GeoKur under grant numbers 16QK04A,16QK04B,and 16QK04C.

摘　　要：Geospatial data are fundamental in most global-change and sustainability-related domains.However,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 references.Within 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 these.We provided a stylized analysis of large-scale land use data to showcase selected approaches.To support data users,interoperable quality and provenance information need to be meaningfully represented.Data producers need efficient workflows and tools supporting them in creating high-quality,structured and detailed quality and provenance information.Our newly developed approaches to increase the availability of structured metadata synthesize new and existing tools to extract metadata or to generate provenance data during processing.Within 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 information.Following 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 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]