Trust and control are complementary to each other: as one of them increases, the need for the other decreases. In successful Data Exchange collaborations, the parties must always be sure that the others are worthy of trust.
Esko Kilpi, a brilliant mind and a thinker ahead of his time, put it in words: a democratic society is an interactive trust system, and at the same time, a trust-based interaction system1. In both points of view, trust and interaction are the key elements holding society together.
Throughout history, we have created many kinds of agreements to strengthen trust. Once a raised hand was showing that one did not carry a weapon, then a handshake was the form to confirm an agreement and now we get a shop receipt as a legal document proving that an agreement was made. We make these kinds of agreements all the time in our everyday life. We need these control mechanisms to generate trust.
"Trust but verify". Trust and control are compliments for each other. In the situation of full trust, there is no need for any control. In case of full control, trusting becomes unnecessary.
We have defined the cornerstones of trustworthy data exchange at Platform of Trust. They are identification, agreeing, and monitoring, which are the very essentials in Data Exchange on our platform:
- Data exchange on our platform takes place between identified parties
- The utilization & further sharing and use of the data are agreed upon in the exchange of data
- The rules of the data exchange are monitored and controlled as part of the data exchange
As digitalization evolves, digital services and solutions become more and more essential parts of the society. One of the biggest hurdles slowing down digitalization and the emerging data economy is the lack of trust regarding the rights of data, and the lack of trust regarding the motives of data users. That's why we want to improve organizations' control over the data they choose to exchange.
We’re guided by our Operating Principles, that influence to significant areas of business operations. See the other sections of our Operating Principles:
EU Data Strategy Compliance »
Europe and EU are boosting data-based economy across sectors. We help our customers to align themselves to these objectives.
Ontological Data Mesh »
We base our offering on Ontological Data Mesh - a decentralized domain driven architecture, that lets business domains more control over the data.