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Summary: Discussion of the EU Data Strategy's potential to position Europe as a frontrunner in the data-driven economy.

Discourse at a Center for Data Innovation event featuring policymakers and industry leaders centered around the European Union's data strategy. There was consensus among the panelists that this strategy provides a prime chance to tackle essential data-sharing issues, data quality concerns, and...

Discussion Summary: Will the European Union's Data Strategy Propel Europe to the Forefront of the...
Discussion Summary: Will the European Union's Data Strategy Propel Europe to the Forefront of the Data-Driven Economy?

Summary: Discussion of the EU Data Strategy's potential to position Europe as a frontrunner in the data-driven economy.

The European Union (EU) has unveiled a comprehensive data strategy aimed at providing individuals with the tools to exercise better control over their data. However, the success of this strategy hinges on individuals' understanding of these tools.

Companies are pivotal players in the implementation of the EU data strategy. To incentivize their participation, a voluntary framework is proposed. Education, skills, and digital literacy are deemed crucial for individuals to effectively manage their data.

One area underrepresented in the data strategy is data quality. Improving data quality could create a more robust data market, helping companies expand globally. Notably, companies such as Facebook and Google are already involved in data transfer projects that allow users to move their data across platforms.

The EU data strategy also seeks to give individuals more agency and control over their data, including for altruistic purposes. However, challenges persist. For instance, 80% of respondents have reported difficulties in accessing and using data from other companies.

To address these challenges, the EU is committed to the global free flow of data and multilateral systems of data flows with partners. The General Data Protection Regulation's (GDPR) data portability rights are being adjusted to facilitate this.

Other obstacles to data sharing include restricted access, costs of acquiring data, compliance costs, and legal security in data use. To overcome these, common European data spaces are being established. These spaces will enable stakeholders to participate in defining data governance and lower data sharing costs.

The European project Gaia-X, supported by various European authorities and institutions, is a significant initiative in this regard. Gaia-X builds a federated, open-source-based data infrastructure to enable sovereign, trusted data exchange. The project is planned to support multilateral data flows and global free data streaming by linking diverse data spaces, ensuring providers retain control over their data.

Existing data sharing initiatives within industry, codes of conducts, and self-regulation frameworks exist. However, a growing number of data management companies acting as data intermediaries can help address these challenges.

It's important to note that digital sovereignty should not lead to regimes that mandate data sharing without justification, to regulatory divergence, or to data localization which is detrimental to the free flow of data. Instead, a greater focus on data quality, as suggested by Eline Chivot, could address challenges in data sharing, privacy concerns, and AI system inaccuracy.

Lastly, Andreas Hartl supports the creation of sector-specific data spaces with governance approaches tailored for each sector's challenges. This approach could foster a more diversified and decentralized data economy.

In conclusion, the EU data strategy aims to empower individuals, boost businesses, and foster digital sovereignty. By addressing challenges such as data quality, data sharing, and digital literacy, the EU hopes to create a more robust and inclusive data economy.

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