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  • 1. Privacy and Security Aspects Related to the Use of Big Data – progress of work in the European Statistical System (ESS) Archived
    Articles and reports: 11-522-X201700014734
    Description:

    Data protection and privacy are key challenges that need to be tackled with high priority in order to enable the use of Big Data in the production of Official Statistics. This was emphasized in 2013 by the Directors of National Statistical Insitutes (NSIs) of the European Statistical System Committee (ESSC) in the Scheveningen Memorandum. The ESSC requested Eurostat and the NSIs to elaborate an action plan with a roadmap for following up the implementation of the Memorandum. At the Riga meeting on September 26, 2014, the ESSC endorsed the Big Data Action Plan and Roadmap 1.0 (BDAR) presented by the Eurostat Task Force on Big Data (TFBD) and agreed to integrate it into the ESS Vision 2020 portfolio. Eurostat also collaborates in this field with external partners such as the United Nations Economic Commission for Europe (UNECE). The big data project of the UNECE High-Level Group is an international project on the role of big data in the modernization of statistical production. It comprised four ‘task teams’ addressing different aspects of Big Data issues relevant for official statistics: Privacy, Partnerships, Sandbox, and Quality. The Privacy Task Team finished its work in 2014 and gave an overview of the existing tools for risk management regarding privacy issues, described how risk of identification relates to Big Data characteristics and drafted recommendations for National Statistical Offices (NSOs). It mainly concluded that extensions to existing frameworks, including use of new technologies were needed in order to deal with privacy risks related to the use of Big Data. The BDAR builds on the work achieved by the UNECE task teams. Specifically, it recognizes that a number of big data sources contain sensitive information, that their use for official statistics may induce negative perceptions with the general public and other stakeholders and that this risk should be mitigated in the short to medium term. It proposes to launch multiple actions like e.g., an adequate review on ethical principles governing the roles and activities of the NSIs and a strong communication strategy. The paper presents the different actions undertaken within the ESS and in collaboration with UNECE, as well as potential technical and legal solutions to be put in place in order to address the data protection and privacy risks in the use of Big Data for Official Statistics.

    Release date: 2016-03-24
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  • 1. Privacy and Security Aspects Related to the Use of Big Data – progress of work in the European Statistical System (ESS) Archived
    Articles and reports: 11-522-X201700014734
    Description:

    Data protection and privacy are key challenges that need to be tackled with high priority in order to enable the use of Big Data in the production of Official Statistics. This was emphasized in 2013 by the Directors of National Statistical Insitutes (NSIs) of the European Statistical System Committee (ESSC) in the Scheveningen Memorandum. The ESSC requested Eurostat and the NSIs to elaborate an action plan with a roadmap for following up the implementation of the Memorandum. At the Riga meeting on September 26, 2014, the ESSC endorsed the Big Data Action Plan and Roadmap 1.0 (BDAR) presented by the Eurostat Task Force on Big Data (TFBD) and agreed to integrate it into the ESS Vision 2020 portfolio. Eurostat also collaborates in this field with external partners such as the United Nations Economic Commission for Europe (UNECE). The big data project of the UNECE High-Level Group is an international project on the role of big data in the modernization of statistical production. It comprised four ‘task teams’ addressing different aspects of Big Data issues relevant for official statistics: Privacy, Partnerships, Sandbox, and Quality. The Privacy Task Team finished its work in 2014 and gave an overview of the existing tools for risk management regarding privacy issues, described how risk of identification relates to Big Data characteristics and drafted recommendations for National Statistical Offices (NSOs). It mainly concluded that extensions to existing frameworks, including use of new technologies were needed in order to deal with privacy risks related to the use of Big Data. The BDAR builds on the work achieved by the UNECE task teams. Specifically, it recognizes that a number of big data sources contain sensitive information, that their use for official statistics may induce negative perceptions with the general public and other stakeholders and that this risk should be mitigated in the short to medium term. It proposes to launch multiple actions like e.g., an adequate review on ethical principles governing the roles and activities of the NSIs and a strong communication strategy. The paper presents the different actions undertaken within the ESS and in collaboration with UNECE, as well as potential technical and legal solutions to be put in place in order to address the data protection and privacy risks in the use of Big Data for Official Statistics.

    Release date: 2016-03-24
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