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Access to Enterprise Data at Statistics Finland: Introducing the Practices of the Research Laboratory Satu Nurmi

Learn about the practices of the Research Laboratory Satu Nurmi at Statistics Finland, which offers academic researchers the opportunity to access enterprise-level data for their research projects. Discover the access rules, available data sets, and future challenges in utilizing this valuable resource.

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Access to Enterprise Data at Statistics Finland: Introducing the Practices of the Research Laboratory Satu Nurmi

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  1. Access to enterprise data at Statistics Finland: introducing the practices of the Research Laboratory Satu Nurmi OECD Conference: Assessing the feasibility of micro-data access Luxembourg 26-27 October 2006

  2. Background • Increased demand for comprehensive micro-level databases for research purposes • Rich linkable administrative register databases are goldmines for empirical economic analysis • The challenge: protection of confidentiality vs. providing researchers with the relevant data cost-effectively • Development of micro data Statistics Finland/Satu Nurmi

  3. Legislation • Statistical data can only be released in unidentifiable form, with a few exceptions • Data can be released for scientific research and statistical surveys only • Sample data on individual persons can be released to outside researchers • By contrast, protected data on enterprises can only be accessed at the premises of Statistics Finland Statistics Finland/Satu Nurmi

  4. Research Laboratory of enterprise data • Offers academic researchers the possibility to use enterprise-level data in their research projects • Operation started in 2001, around 20 projects/year • Customers from universities and research institutes • Basic setting up cost €883/project and a rent of €18/hour • Data guidance and customised research services are central in the operation Statistics Finland/Satu Nurmi

  5. Access rules • A user licence is required • Statistics Finland’s Ethics Committee considers exceptions • Data limitations: • encryption of unit identifiers • removal of sensitive information • Physical limitations: • on-site access • conditions of use Statistics Finland/Satu Nurmi

  6. ENTERPRISE LEVEL DATA Business Register and Group Register Financial Statements panel Business Aid Database R&D panel ICT panel Patent Register Innovation Surveys ESTABLISHMENT LEVEL DATA Business Register Industrial Statistics panel Employment Statistics panel (labour characteristics) Worker Flow panel Technology Survey Commodity Statistics Research Laboratory’s main data sets • LINKED EMPLOYER-EMPLOYEE DATA • Finnish Longitudinal Employer-Employee Data (FLEED) & demo version Statistics Finland/Satu Nurmi

  7. An example of linking data sets Industrial Employment Statistics Statistics Background information on individuals is aggregated to establishment level. (Establishment) (Individual) ICT aggregation Survey analysis Financial Data from different sources are linked through encrypted establishment or enterprise identifiers. Statements Statistics Innovation R&D Survey Survey Statistics Finland/Satu Nurmi

  8. Future challenges • Development of the databases and documentation • Increased co-operation between research services in different statistical units • Improved communication with the research community • On-line access as an alternative mode of use: + Regional equality + User-friendliness + Data protection – High costs • International co-operation Statistics Finland/Satu Nurmi

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