  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.
