The main challenges to boosting sectoral data spaces

The Constituent Assembly of the Gaia-X Spain Association, whose headquarters are located in Talavera de la Reina, was held on 18 March. The event brought together more than 150 entities of all kinds, including companies, public bodies, universities and innovation institutions, with the aim of joining forces to create an open, federated and interoperable data infrastructure, following the values of digital sovereignty and data availability. The ultimate goal is to drive the transformation of strategic sectors within the framework of the Data Economy.

To advance in this area, a number of working groups have been set up. These groups seek to leverage the advantages of Gaia-X to develop sectoral data spaces where different actors share data in a voluntary and secure manner.

The Gaia-X national hub working groups

Among the various working groups that have been set up, we find both sectoral groups, as well as horizontal groups focused on enabling technologies, ethics and legislation. The aim is to develop the vision of the data space in each sector of activity, as well as to obtain common and guiding principles for all of them.

The working groups of the Gaia-X national hub facilitate the connection between companies, administrations and other entities that offer and demand data services and technologies, with the aim of obtaining an adequate development and interoperability of the sectorial data spaces. They also act as a meeting point to disseminate experiences, success stories and lessons learned.

These groups also participate in various events. One of them was Global Mobility Call, organised by IFEMA MADRID and Smobhub on 16 June to discuss sustainable mobility. It was attended by members of the mobility working group of the national Gaia-X Hub. During the session, several challenges related to the creation of data spaces came up, which, although focused on the field of mobility, can be applicable to other sectors.

4 challenges to consider

1. Moving from Theory to Practice

The creation of a data space must be done from a clear bottom-up approach, starting from concrete use cases, and making the most of the technological building blocks already available.

To this end, the first step is to identify the needs and opportunities that can be addressed by the exchange and exploitation of data within each sector. Use cases must address a specific business need. An economic model must be agreed and the responsibilities to be acquired by the actors involved, as well as an incentive scheme, must be established. Beyond the technical components, certainty is needed about the operational, legal and commercial considerations that will govern the data exchanges.

In developing the use cases, it is essential to establish the data catalogues to be exchanged and exploited, as well as the semantics of the data. It is also important that the solution created seeks interoperability with analogous solutions, as well as establishing mechanisms for continuous improvement of the quality of the data exchanged.

The use cases must demonstrate the value derived from data sharing. This can be done by taking advantage of the experimentation spaces available within the Data Spaces Business Alliance (DSBA) hubs, as well as by using agile methodologies that allow results to be visualised early on.

2. Standardisation

The recently proposed EU Data Act provides for the development of interoperability standards for the re-use of data across sectors, in an attempt to remove barriers to data exchange. In the absence of applicable standards, the Commission will adopt implementing orders in this respect.

In this regard, there is a need to change the way in which standards are generated in order to gain agility. Working group members can identify specific standardisation needs and even propose solutions that become de facto standards.

On the other hand, it is necessary to focus on the convergence of the different perspectives and approaches to the creation of data spaces that currently exist. Their development should not be conceived in isolation, or from the exclusive vision of a single association, but as holistically as possible.

3.Awareness raising and change management actions

In order to share data externally, there must be a mindset of sharing internally. This change of mindset involves complex change management where top management support is essential. A data culture needs to be embedded in organisations to maximise the value of data.

4.Communication and dynamisation actions to disseminate the model

It is also essential to develop workshops and congresses to address common problems, best practices and seek synergies of action. In order to raise awareness, it is necessary to evangelise about the profitability that data sharing generates for the sector's agents. This profitability is not only derived from its sale, but also from the generation of new products or the enrichment of existing ones, which adds value to the business.

These four general considerations must be nuanced by taking into account the specific needs of each sector to drive the development of effective sectoral data spaces. These spaces will facilitate the creation of innovative solutions based on data and disruptive technologies, such as artificial intelligence, helping to boost the competitiveness of companies and the advancement of society in general.