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Enhancing Cross-Border Access to Microdata: Insights from the Paris Group

This report by Heather Dryburgh, Ph.D., from Statistics Canada discusses the ongoing efforts of the Paris Group to improve international access to microdata for statistical purposes. Established in May 2009, the group focuses on ethical frameworks, international metadata standards, and models for accessible data. Key challenges such as legislation, costs, and confidentiality are addressed, alongside practical steps taken by statistical institutes. The session highlights the importance of collaboration, communication, and best practices to facilitate effective cross-border data sharing for researchers and policymakers.

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Enhancing Cross-Border Access to Microdata: Insights from the Paris Group

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  1. Advancing cross-border access to microdata: Work of the ‘Paris Group’ Heather Dryburgh, Ph.D. Statistics Canada Prepared for the Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality, October 26-28, Tarragona, Spain

  2. Background • First meeting May 2009 • Statistical Journal of the IAOS (International Association for Official Statistics) • Discussion paper on a framework for international access to microdata • 2010 • Mandate, values and ethics • Discussion paper on moving to becoming an OECD group • 2011 • Series of models for international access to microdata • Discussion on adopting an international metadata standard Statistics Canada • Statistique Canada

  3. Mandate and work • Statistical Institutes working together on practical steps to advance cross-border access to, and analysis of, microdata by leading the way and taking into account the needs of researchers and policy makers. Statistics Canada • Statistique Canada

  4. Mandate and work (continued) • Increasing coordination and communication between institutes and other expert groups to adopt best practices. • Establishing procedures for efficient integrated cross-border access to microdata held by statistical institutes for statistical purposes • Conducting practical country experiments with actual data files. • Advising and making recommendations to Chief Statisticians based on the Group’s work. Statistics Canada • Statistique Canada

  5. Challenges • Legislation • Costs • Technical expertise • Other risks associated with all microdata access, such as ensuring data confidentiality and maintaining good respondent relations. Statistics Canada • Statistique Canada

  6. Models • Model 1: Current model • Model 2: Syndicated discovery model • Model 3: Syndicated discovery and interrogation model • Model 4: Integrated access model Statistics Canada • Statistique Canada

  7. Model 1 Statistics Canada • Statistique Canada

  8. Model 2 Statistics Canada • Statistique Canada

  9. Model 3 Statistics Canada • Statistique Canada

  10. Model 4 Statistics Canada • Statistique Canada

  11. Ongoing work • Communicating the vision – to decision makers • Maximising the power of metadata – working toward standardisation - DDI • Linkages with other developing systems and projects • Meeting legal requirements of data custodians • Accreditation system - of researchers and of projects • Technical infrastructure • Costs modelling • Logistics of a gateway Statistics Canada • Statistique Canada

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