title: [Big data in official statistics].
abstract: The concept of "big data" stands to change the face of official statistics over the coming years, having an impact on almost all aspects of data production. The tasks of future statisticians will not necessarily be to produce new data, but rather to identify and make use of existing data to adequately describe social and economic phenomena. Until big data can be used correctly in official statistics, a lot of questions need to be answered and problems solved: the quality of data, data protection, privacy, and the sustainable availability are some of the more pressing issues to be addressed. The essential skills of official statisticians will undoubtedly change, and this implies a number of challenges to be faced by statistical education systems, in universities, and inside the statistical offices. The national statistical offices of the European Union have concluded a concrete strategy for exploring the possibilities of big data for official statistics, by means of the Big Data Roadmap and Action Plan 1.0. This is an important first step and will have a significant influence on implementing the concept of big data inside the statistical offices of Germany.
authors.affiliation: Goethe-Universität Frankfurt, Grüneburgplatz 1, 60323, Frankfurt am Main, Deutschland. zwick@econ.uni-frankfurt.de.|Statistisches Amt der Europäischen Union (Eurostat), Europäische Kommission, 2920, Luxembourg, Luxembourg. zwick@econ.uni-frankfurt.de.
authors.forename: Markus
authors.initials: M
authors.lastname: Zwick
mesh_terms: D001699:Biometry / Q000379:methods; D016494:Computer Security; D003219:Confidentiality; D000068598:Data Accuracy; D003627:Data Interpretation, Statistical; D057225:Data Mining / Q000379:methods*; D066264:Datasets as Topic / Q000706:statistics & numerical data*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005858:Germany; D006302:Health Services Research / Q000458:organization & administration; D012307:Risk Factors