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A Roadmap for Cross-Border Data Flows: Future-Proofing Readiness and Cooperation in the New Data Economy

Core Content

This white paper outlines a Roadmap for Cross-Border Data Flows designed to support the development of a global, secure and efficient data economy. It emphasizes the importance of data mobility for innovation and economic growth, particularly in the context of the Fourth Industrial Revolution technologies such as AI, IoT, and blockchain. The paper advocates for a balanced approach to data sharing that ensures security, privacy, and trust, while also promoting international cooperation and regulatory interoperability.

Main Views

• Cross-border data flows are essential for the development of data-intensive technologies and the global digital economy.
• Data localization requirements are increasingly common and can hinder innovation, increase costs, and create digital walls between countries.
• Trust is a foundational element in enabling cross-border data sharing, and it must be built through consistent and transparent policies.
• Cybersecurity and data protection are critical but should not be used as justification for restrictive data policies.
• International cooperation is necessary to create accountability mechanisms and interoperable frameworks that reduce regulatory complexity and support global trade.
• Future-proofing is important to adapt to emerging technologies and evolving data governance models.

Key Information

Part A: Establishing the Building Blocks of Trust

1. Allow data to flow by default

   • Prohibit data localization requirements unless necessary for specific national security or public policy objectives.
   • Ensure non-discriminatory, non-arbitrary, and trade-neutral exceptions.
   • Maintain access to data for law enforcement and compliance without restricting flows.

2. Establish a level of data protection

   • Implement national legal frameworks that protect private individuals' data.
   • Complement this with laws that protect proprietary rights.
   • Ensure data protection laws are robust and apply regardless of where data is stored.

3. Prioritize cybersecurity

   • Enact transparent cybersecurity legislation aligned with international norms.
   • Maintain robust data security infrastructure.
   • Avoid geographic restrictions in favor of security controls that are effective and scalable.

4. Prioritize connectivity, technical interoperability, data portability and data provenance

   • Develop connectivity infrastructure to support a local data economy.
   • Encourage technical standards for interoperability.
   • Facilitate data portability at the B2B level to support SMEs.
   • Promote data integrity through data provenance mechanisms.

Part B: Incentivizing Cooperation Between Nations

5. Hardwire accountability between nations
   • Create cooperation mechanisms between national authorities to ensure accountability for data security and confidentiality.
   • Allow compliance flexibility while maintaining trust and transparency.

Part C: Future-Proofing International Data Sharing Policies

6. Future-proof the policy environment
   • Allow for future alternative models such as federated learning and data trusts.
   • Ensure policy adaptability to new technologies and economic developments.

Conclusion

The Roadmap is a collaborative and inclusive tool aimed at guiding governments in creating robust, trust-based, and interoperable data policies. It is not a one-size-fits-all solution but rather a flexible framework that can be tailored to the needs and ambitions of different countries. The paper emphasizes that countries must first ensure their own data governance is in order before they can effectively engage in international data sharing.

Case Studies and Examples

• Bahrain's experience: The country has taken steps to facilitate cross-border data flows, including the removal of legacy localization requirements, expansion of connectivity infrastructure, and the introduction of data protection laws.
• Trans-Pacific Partnership (TPP): Article 14.11.3 and 14.13.3 of the Comprehensive and Progressive Agreement outlines permissible exceptions for data localization, ensuring legitimate public policy objectives are met without impeding global data flows.
• Anti-money laundering (AML): Data localization can hinder AML efforts by making it more difficult to detect and monitor fraud and illicit financial activities across borders.

Final Notes

• Data localization is often misguided and can lead to fragmentation of the global data economy.
• Regulatory certainty and transparency are crucial for business confidence and technological innovation.
• Global cooperation is essential for building trust and ensuring secure and efficient data sharing.
• SMEs and startups benefit most from seamless data flows, which enable access to high-quality data and cloud computing services.
• No country should compel its industries to share data across borders without their consent.

This Roadmap is a practical guide for governments, businesses, and stakeholders to navigate the complexities of cross-border data flows in a post-pandemic, data-driven world.