International data spaces (IDS): safe and easy data exchange

Data sharing

Data sharing is becoming increasingly important. Combining, enriching and analysing data in a safe and efficient manner can be of great benefit to participating parties. However, the emerging data economy also poses challenges. International Data Spaces (IDS) is therefore developing a secure environment for data sharing. TNO is contributing to the creation of this open data sharing infrastructure.

The data economy challenge

We share data en masse within sectors but also between organisations across sectors. This is because data is only really interesting if you combine it with other data sources. Data sharing accelerates innovations in and between sectors and produces new solutions. For an ever-increasing number of companies, this makes data a strategic asset over which they want to maintain control.

At the same time, data sharing is becoming more complex. The data economy – including artificial intelligence (AI), Internet of Things (IoT) and big data – offers all kinds of opportunities but also raises questions. Who does the data belong to? Which analyses can be carried out on the basis of the available data? And how do you make data exchangeable between companies without violating the privacy of citizens?

IDS for organisations

Large-scale data sharing is currently hampered by concerns about trust and the lack of control mechanisms for sharing secure and trusted data.

IDS is a building block to overcome these barriers, such as by utilising the advantages of artificial intelligence (AI) in order to accelerate the sharing of input data or the results of an algorithm. Examples include a more efficient logistics chain and zero-defect production processes using AI, for which clear usage and access policies have been defined.

Need for data sovereignty

Data sovereignty – the assignment of binding legal and technical restrictions on the use of information – is becoming more and more important and is increasingly a condition before parties will be willing to share their (potentially sensitive) data.

This requires secure and trusted data sharing infrastructure based on standards. International Data Spaces (IDS) is an initiative for the development of a European standard for independent and controlled data sharing. After all, there can be no secure data sharing without agreements. IDS is seen as a promising basis for companies to work on AI, IoT and big data.

International Data Spaces (IDS) explained

First and foremost, trusted infrastructures are the basis for guaranteeing data sovereignty. Such infrastructures must be equipped with a number of operational components (such as identity management or dynamic trust management) and ensure unambiguous digital identities. The IDS initiative has developed a software architecture that guarantees data freedom by enabling secure data exchanges between parties.

Certified users are given access to the data ecosystem, where they can impose usage restrictions on their data before it is made available to other users. This is possible thanks to a special gateway software component, the so-called IDS Connector, which can share data in a safe and trusted manner.

Contribute to safe data sharing

IDS is managed by the International Data Spaces Association (IDSA), a European non-profit association with a hundred members spread across 18 (mostly European) countries. TNO is a member of IDSA and is active in various working groups.

This fits in well with TNO’s research into blockchain, Self-Sovereign Identity (SSI) and secure Multi-Party Computation (MPC), among other things, for which the aim is always to apply them in practice. In this way, we contribute to the development of a secure data sub-infrastructure and make knowledge and experience available to Dutch businesses so that they can use it to realise their own applications.

Success factors deployment data space

What are the critical success factors in deploying a data space? Based on an exploration of practical cases, specialists from TNO Vector have identified several generic recommendations. Read their findings in this whitepaper.

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