Public debates on privacy often assume that personal data flows too freely. We argue the opposite: data frequently does not flow well enough, leading organizations to rely on inefficient, opaque, or even unlawful shortcuts to enable exchange. This workshop explores how personalized, tech-assisted trust can create lawful, sustainable, and economically valuable data-sharing ecosystems beyond the overreliance on consent. We will discuss emerging approaches in data protection engineering technologies, machine-readable agreements, and automated compliance tools that enable dynamic negotiation of legal grounds for data use. The workshop will combine (1) short expert presentations on topics such as techno-legal tools and the economic value of responsible data sharing, (2) facilitated small-group discussions to identify barriers and opportunities across sectors, and (3) a collaborative manifesto-writing session. The outcome will be an action-oriented manifesto outlining technical, legal, and governance steps to foster trusted data flows, to be shared across other conference sessions and communities.