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To address the need for regulating digital technologies without hamperinginnovation or pre-digital transformation regulatory frameworks, we provide amodel to evolve Data governance toward Information governance and precise therelation between these two terms. This model bridges digital and non-digitalinformation exchange. By considering the question of governed data usagethrough the angle of the Principal-Agent problem, we build a distributedgovernance model based on Autonomous Principals defined as entities capable ofchoice, therefore capable of exercising a transactional sovereignty. Extendingthe legal concept of the privacy sphere to a functional equivalent in thedigital space leads to the construction of a digital self to which rights andaccountability can be attached. Ecosystems, defined as communities ofautonomous principals bound by a legitimate authority, provide the basis ofinteracting structures of increasing complexity endowed with a self-replicatingproperty that mirrors physical world governance systems. The model proposes agovernance concept for multi-stakeholder information systems operating acrossjurisdictions. Using recent software engineering advances in decentralisedauthentication and semantics, we provide a framework, Dynamic Data Economy todeploy a distributed governance model embedding checks and balance betweenhuman and technological governance. Domain specific governance models are leftfor further publications. Similarly, the technical questions related to theconnection between a digital-self and its physical world controller (e.gbiometric binding) will be treated in upcoming publications.

Distributed Governance: a Principal-Agent Approach to Data Governance -- Part 1 Background & Core Definitions