A Data Ecosystem offers a keystone-player or alliance-driven infrastructure that enables the interaction of different stakeholders and the resolution of interoperability issues among shared data. However, despite years of research in data governance and management, trustability is still affected by the absence of transparent and traceable data-driven pipelines. In this work, we focus on requirements and challenges that data ecosystems face when ensuring data transparency. Requirements are derived from the data and organizational management, as well as from broader legal and ethical considerations. We propose a novel knowledge-driven data ecosystem architecture, providing the pillars for satisfying the analyzed requirements. We illustrate the potential of our proposal in a real-world scenario. Lastly, we discuss and rate the potential of the proposed architecture in the fulfillment of these requirements.
翻译:数据生态系统提供了一个关键人物或联盟驱动的基础设施,使不同利益攸关方能够互动,并解决共享数据之间的互操作性问题。然而,尽管在数据治理和管理方面进行了多年研究,但由于缺乏透明和可追踪的数据驱动管道,可信任性仍然受到影响。在这项工作中,我们侧重于数据生态系统在确保数据透明度方面所面临的要求和挑战。要求来自数据和组织管理,以及更广泛的法律和道德考虑。我们提出了一个新的知识驱动的数据生态系统架构,为满足所分析的要求提供了支柱。我们展示了我们提案在现实世界情景中的潜力。最后,我们讨论并评估了拟议架构在满足这些要求方面的潜力。