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

Research data infrastructures in environmental sciences—Challenges and implementation approaches focusing on the integration of software components

“…tu-dresd en. de/ ) (Fischer et al, 2023), we focussed on an integrated approach considering the topic-related problems across software components and phases of the data lifecycle from the user perspective and developed an architecture (Figure 3) based on standards and open-source software that will be described in detail in the following sections. We selected and developed specific tools with particular F I G U R E 3 Overview of the RDI software components in GeoKur-* components relevant for DMP, ° components for provenance information tracking, management, and visualization, 'components for quality information extraction, management, and visualization.…”

“…tu-dresd en. de/ ) project (Fischer et al, 2023), we took the use case of creating global land use time series data to evaluate, integrate, and test curation and quality assurance approaches along the research data lifecycle. We therefore focus on both curation-driven and use case-driven aspects.…”

“…Next, when evaluating the relevance of datasets as potential input data, data users endeavor to evaluate how the datasets have been used in other use cases (Figure 1, usage documentation). Fischer et al (2023) focus on the user perspective and describe their approach to analyze the availability and accessibility of metadata and to collect user requirements. Moreover, they developed the conceptual framework to co-develop tools and produce and use data that we build upon.…”