Research data infrastructures are quickly evolving and show a wide variety, for instance in the way they address user requirements and use cases as well as how they provide user-required information through their software architecture. In this article, we discuss challenges and provide approaches to developing software architectures and software components for research data infrastructures in environmental sciences. Taking the GeoKur research project on harmonizing land use time series as the use case for curation and quality assurance of environmental research data, we designed, implemented, and tested approaches and software components with particular regard to data management planning as well as provenance and quality information management. We aim to illustrate how to better meet researchers’ needs and provide tightly interlinked software components.

中文翻译：

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环境科学研究数据基础设施——以软件组件集成为重点的挑战和实施方法

研究数据基础设施正在快速发展并呈现出各种各样的变化，例如它们满足用户需求和用例的方式以及它们如何通过软件架构提供用户所需的信息。在本文中，我们讨论了挑战并提供了为环境科学研究数据基础设施开发软件架构和软件组件的方法。以统一土地利用时间序列的 GeoKur 研究项目作为环境研究数据管理和质量保证的用例，我们设计、实施和测试了方法和软件组件，特别是数据管理规划以及来源和质量信息管理。我们的目的是说明如何更好地满足研究人员的需求并提供紧密互连的软件组件。