'principles' for trusted data sharing
Promote trusted and secure market opportunities with data sovereignty.
In the physical world, the economic markets are a well-developed domains of human practices and transactions. Such a data market does not yet exist, with transparent and trusted data exchange services independent from any proprietary service. Domestic solutions for safe and trusted data transactions are too costly, not trusted and/or unsecure. Both individuals and organisations do not feel at ease with this market situation as it emerged in the last decade. It is not only about unsure privacy and property rights, and trust to control data, but also resistance against a non-existing fair and equal market playing field. This is different when data holders have the right to decide which of their data may be shared with other entities of their choice and with their conditions. Such a trusted market will offer new opportunities for cooperation that each of the market participants are not likely to achieve separately or in the current data market practice.
'agreements' for data control
Collaborative agreements are based on your decisions. Which data to share, with whom, and under what conditions.
Individuals, organisations and communities producing data (data holders) have the right to decide which data may be shared with other entities of their choice and with their conditions. Some may want to open up data without restriction, others to exposing data subsets for identified organisations, or will only allow that third parties may view or use results from algorithm-processed data. An Open Market for Data has to bring such options into feasible and enforceable practice. ‘Feasible’ with respect to simplicity for users and scalability of service performance. ‘Enforceable’ with respect to software embedded legal rules for conditional data sharing between different entities, thus ensuring trust with safe data transactions. Individuals, organisations, and communities accepting these ‘market’ rules for trust will shape together a trusted data market.
'technology' for securing trust
Generic models of data agreements (rules) should serve to accommodate different data share requirements. These legal models are design built in supporting software for securing trust and audit.
The different ways for data sharing or transactions may be generalized to a limited number of modes, related to similarly generic data exchange agreements. This allows for scalable software enforced contracts and supporting infrastructure, as well for compliance assessment tools to enable trusted interactions of market actors. Both, software code as by design compliant with generic data exchange agreements, and archived individual agreements will secure audit practices for performance and disputes.
'neutral support' for a transparent data market
Data Exchange Facility Market provide neutral (infrastructure and rules) mechanisms in the background for controlled, trusted and secure data transactions. Participants accepting the market rules benefit from the change mechanisms and shape together an open market for data.
The feasible and enforceable practice of an Open Market for Data will be facilitated by Data Exchange mechanisms following the principles of data control and digital enforcement. Similar to the Internet exchange mechanisms or inter-bank cash transfer services, the Data Exchange mechanisms provide neutral (infrastructure and rules) facilities, operating in the background, allowing for controlled, trusted and secure data transactions. Fast and real time services are already offered for some specific industrial and other cooperation. Now these initiatives may transform to generic services and not restricted to data sharing in between only a few organisations.
Amsterdam Data Exchange is bringing this into practice through cooperation of many private, public, and scientific organisations.
'audit proof' as conditional for networking in Europe
The connected facilities secure an open market for data in a feasible and scalable way. Data Exchange Mechanisms are auditable, and any conflict resolution in data transactions is based on traceable actions.