About

Why?

The world’s most valuable resource is no longer oil, it is data. In the Information Age, data powers growth and change, and offers new opportunities for fairer and more efficient societies. But this prospect is hampered for various reasons. One of these is that less than 1% of all data is actually used, shared and analysed. Because of uncertainty about security, privacy and other legal issues such as data ownership, organisations do not share data at all or resort to individual contracts for exchanging data. Which means we are missing big opportunities.

What is it?

AMdEX is an innovation fieldlab in which parties collaborate to develop and test trusted, fair and scalable technologies to support the emergence of datamarkets in which its members can freely decide with whom to interact and under which conditions. We do this by researching, testing and deploying:

  • A neutral exchange infrastructure that provides and executes reliable data sharing archetypes.
  • That technology providers can integrate into their products to service datamarkets and datatrusts.
  • Which is language-and operating system agnostic so users remain free to choose their IT infrastructure, development platform or programming model.
  • Which is not owned by a few parties, but operates as a public facility by all and for all.

Benefits

The benefits of AMdEX:

  • Cost savings – technology providers and datamarkets can implement datasharing archetypes offered by AMdEX as a service. There is no need to invest in physical hardware and software.
  • High speed – AMdEX replaces one-off solutions that take a long time to implement and allows parties to swiftly spin up secure and fair data sharing solutions.
  • Competitive edge – with AMdEX you can rapidly deploy and iterate faster with a focus on innovation, not on managing infrastructure.

The AMDEX pitch:

A real data economy

'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.

Keep control of your data

'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.

Digital enforcement

'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.

Data exchange facilities

'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.

An open market for data

'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.

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