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The Future of Access to European Confidential Data for Scientific Purposes

Explore the current situation, long-term targets, and architectural principles for accessing European confidential data for scientific research. Learn about diversifying access means, distributing access, simplifying procedures, minimizing duplicates, integrating research use, maximizing value-added and the long-term vision of the "Schengen" approach.

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The Future of Access to European Confidential Data for Scientific Purposes

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  1. The Future of Access to European Confidential Data for Scientific Purposes Aleksandra Bujnowska, Jean-Marc Museux, Eurostat Joint UNECE/Eurostat Work Session on Statistical Data Confidentiality (Tarragona, Spain, 26-28 October 2011)

  2. Current situation

  3. Long term target – architectural principles Diversify means of access (public use files - online query system - anonymised files - fat remote access centre) Distribute access Simplify procedures Minimise the number of data duplicates Integrate research use into the statistical value chain Maximise value added of available data through involvement professional partners/agents

  4. Long term vision - the `Schengen` approach The strategic objective is to consider all the data collected under European legislation as a common good of the ESS To empower any NSI to grant access to all the European data given that commonly agreed basic principles are met. To enable access to the whole set of European data from any accredited entry point To set up minimal coordination function

  5. Solution Unique accreditation mechanism for institutions and researchers accessing EU datasets Distributed database with local version of confidential data sets prepared by NSIs, credentials being set locally A central directory of files and access maintained by Eurostat Access to the network through terminal server solution (remote access technology)

  6. Implementation New legal frameworks Development of methodological guidelines Pilot project on decentralized access

  7. Pilot solution

  8. Thank you for your attention

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