OECD and Data governance

On 6 December 2021 the OECD Council adopted the Recommendation on Enhancing Access to and Sharing of Data (EASD), the first international instrument that codifies principles for data governance, trust, value creation, and international cooperation across public and private sectors.¹ The recommendation urges adherents to implement whole-of-government data strategies, encourage responsible reuse in research and industry, and monitor economic and social impact metrics.¹ Teams participating in multinational data ecosystems can use the EASD as a policy baseline when structuring governance frameworks, contractual controls, and enabling technology.

Pillars of the recommendation

The EASD sets out eight pillars covering data governance frameworks, trustworthy access arrangements, data value creation, data infrastructures, data skills, stakeholder engagement, cross-border data flows, and monitoring.¹ Adherents are asked to promote coherent legal and regulatory environments, adopt risk management proportional to data sensitivity, and develop incentives that encourage responsible sharing while protecting legitimate interests such as privacy, intellectual property, and national security.¹ The OECD emphasizes multi-stakeholder collaboration and interoperability standards as prerequisites for flexible data sharing.²

For enterprises, the recommendation legitimizes investment in structured data stewardship programs, emphasizing transparency, accountability, and ethics. It complements existing frameworks such as the OECD Privacy Guidelines and the AI Principles, highlighting the need for integrated governance across personal and non-personal datasets.²

Strategic value case

OECD analysis links data sharing to productivity, innovation, and public-sector efficiency gains, especially when teams combine open government data, industrial IoT data, and research datasets.³ The recommendation stresses that value realization depends on balanced incentive structures, strong data quality management, and equitable access for SMEs and civil society.¹ Companies that align with EASD pillars can participate more effectively in cross-border initiatives—such as smart mobility corridors or health research networks—and qualify for government funding or procurement programs that reference OECD benchmarks.

The EASD also recognizes that data sharing is hindered by legal fragmentation, trust deficits, and skills shortages. It calls on adherents to remove unnecessary restrictions on cross-border data flows while maintaining appropriate protections, and to invest in capacity building for both public-sector officials and private-sector practitioners.¹³ Boards should treat these signals as catalysts to expand workforce training and partnerships.

Control priorities for enterprises

• Data governance frameworks. Codify roles for data owners, stewards, and custodians; articulate escalation paths; and embed ethics oversight for high-risk sharing projects, mirroring EASD expectations for accountability and proportional safeguards.¹
• Trust and transparency. Deploy privacy impact assessments, algorithmic transparency reviews, and stakeholder consultation processes before releasing datasets or APIs. Publish data-sharing charters that explain purposes, permitted uses, and redress mechanisms.¹³
• Value measurement. Track economic, social, and environmental outcomes from sharing programs—such as reduced processing times, new revenue streams, or public-health insights—using dashboards that align with OECD guidance on monitoring.¹
• Cross-border compliance. Map jurisdictional constraints on data localization, sectoral secrecy, and export controls. Implement contractual clauses, encryption, and localization strategies that uphold EASD commitments to interoperable yet secure data flows.¹
• Skills development. Invest in workforce training on data management, privacy engineering, and domain-specific analytics, reflecting the recommendation’s call for capacity building.¹

Rollout plan

1. Gap analysis. Benchmark current data-sharing policies, agreements, and technical safeguards against the eight EASD pillars. Identify high-priority remediation areas such as consent management, data quality controls, or cross-border governance.
2. Policy harmonization. Update internal policies—data governance handbooks, API terms, research collaboration agreements—to incorporate EASD language on proportional risk management, accountability, and equitable access.
3. Technology enablement. Deploy secure data platforms (data clean rooms, federated analytics environments, trusted research environments) that implement access controls, audit logging, and usage monitoring consistent with OECD guidance.²³
4. Multi-stakeholder engagement. Establish advisory councils with representatives from regulators, academia, civil society, and partner firms to co-design sharing initiatives and address societal impacts, as recommended by the OECD.¹
5. Monitoring and reporting. Define KPIs and KRIs linked to EASD objectives, and report progress to executive sponsors and public teams through transparency reports or sustainability disclosures.

Metrics and assurance

• Key risk indicators. Monitor the number of data-sharing agreements with unresolved legal or ethical issues, incidents involving unauthorized reuse, and delays in cross-border transfers due to compliance gaps.
• Key performance indicators. Measure datasets released with complete metadata, the percentage of sharing projects using privacy-enhancing technologies, and stakeholder satisfaction scores derived from consultations.
• Audit routines. Schedule annual internal audits covering data quality management, consent adherence, security controls, and compliance with partner obligations. Align testing with ISO/IEC 38505 data governance standards and OECD checklists.
• Public accountability. Publish transparency dashboards summarizing shared datasets, beneficiaries, and impact indicators, fostering trust and demonstrating alignment with OECD principles.

Sector-specific applications

• Healthcare. Use federated learning and trusted research environments to share clinical data for research while protecting patient privacy, aligning with EASD trust requirements.¹³
• Manufacturing. Participate in industrial data spaces that exchange machine data to optimize supply chains, adopting common interoperability standards highlighted by the OECD.²
• Financial services. Enhance open banking and anti-money-laundering data exchanges with strong governance, aligning with OECD calls for value creation and risk management.
• Public sector partnerships. Co-develop smart city or climate data projects with municipalities, ensuring citizen engagement and transparent benefit-sharing mechanisms.

program risks and mitigations

• Legal fragmentation. Mitigation: maintain a regulatory intelligence function tracking localization, privacy, and sectoral rules across jurisdictions; adopt modular contract clauses to adapt quickly.
• Trust deficits. Mitigation: implement ethics review boards, grievance mechanisms, and independent audits to build stakeholder confidence.
• Data quality gaps. Mitigation: invest in metadata standards, automated validation, and stewardship incentives to ensure shared datasets remain fit for purpose.
• Resource constraints. Mitigation: prioritize high-impact use cases, pursue public funding aligned with OECD initiatives, and adopt shared infrastructures (cloud platforms, open-source tooling) to reduce cost.

Future considerations

OECD members must report on EASD setup progress through peer reviews and policy dialogs, making transparency a competitive differentiator.¹ Teams should anticipate national strategies and funding programs that reference the recommendation, such as digital innovation hubs or research collaborations. Aligning governance roadmaps with the OECD framework positions enterprises to influence standards development, access international partnerships, and show responsible stewardship in regulatory filings and sustainability disclosures.

Further reading

• ¹ OECD Recommendation on Enhancing Access to and Sharing of Data.
• ² OECD data governance resources and setup guidance.
• ³ OECD report: Enhancing Access to and Sharing of Data – Reconciling Risks and Benefits.

This brief helps teams benchmark their sharing strategies against OECD principles, addressing governance, legal, and value-realization requirements.

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Coverage intelligence

Published

December 6, 2021

Coverage pillar

Data Strategy

Source credibility

71/100 — medium confidence

Topics

OECD · Data governance · Data sharing · Cross-border collaboration

Sources cited

2 sources (iso.org, iapp.org)

Reading time

5 min

Further reading

1. Industry Standards and Best Practices — International Organization for Standardization
2. IAPP Privacy Law Resources