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Cornelia Hammer, Ms. Diane C Kostroch, and Mr. Gabriel Quiros-Romero
Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.
Cornelia Hammer, Ms. Diane C Kostroch, and Mr. Gabriel Quiros-Romero

official statistics big data strategy action plan and road map with the wider governance strategy. Eurostat stressed that the typical use of big data in the EU member states will not be in isolation but in combination with already existing data sources ( EC 2017 ). Indeed, the global statistical community is working on demystifying big data and embracing this novel data source as both a challenge and an opportunity going forward. 31. Strategies for integrating big data into official statistics could range from partially to entirely replacing existing statistical