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Official statistics in the era of big data opportunities and threats

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Abstract

In recent years, the quantity of digital data created, stored and processed in the world has grown exponentially. The demand for statistical information has never been so apparent. For ‘official statistics’, the public informational infrastructure provided by statistical authorities, this new era offers not only essential opportunities but also manifold threats. In order for official statistics to function as a language for all kinds of societal interactions and decision-making, it is essential that the product ‘information’ is fit for purpose. This is an essential shift in perspective. Quality of official statistics needs to be seen with a much wider scope, going beyond the side of production, including the use side and analysing scientifically how these two sides are interacting in a dynamic relationship.

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References

  1. Porter, T.M.: Trust in Numbers: The Pursuit of Objectivity in Science and Public Life. Princeton University Press, Princeton (1995)

    Google Scholar 

  2. Schlözer, A.L.V.: Theorie der Statistik. Nebst Ideen Ueber Das Studium Der Politik Überhaupt, Vandenhoek und Ruprecht, Goettingen (1804)

  3. Desroisières, A.: Birth of a new statistical language between 1940 and 1960. Courrier des statistiques (English series 11) 39 (2005)

  4. Eurostat: Quality Declaration of the European Statistical System. Eurostat, Luxembourg (2016)

    Google Scholar 

  5. Desroisières, A.: The Politics of Large Numbers—A History of Statistical Reasoning. Harvard University Press, Cambridge (1998)

    Google Scholar 

  6. Saetnan, A.R.: The Mutual Construction of Statistics and Society. Routledge, New York (2011)

    Google Scholar 

  7. Horn, D.G.: Social Bodies—Science, Reproduction, and Italian Modernity. Princeton University Press, Princeton (1994)

    Google Scholar 

  8. Patriarca, S.: Numbers and Nationhood—Writing Statistics in Nineteenth-Century Italy. Cambride University Press, Cambride (1996)

    Book  Google Scholar 

  9. Cao, L.: Data science: challenges and directions. Commun. ACM 80, 59–68 (2017)

    Article  Google Scholar 

  10. Petrucci, A., Verde, R.: SIS 2017—Statistics and data science: New challenges, new generations. Firenze University Press, Florence (2017)

    Google Scholar 

  11. von der Lippe, P.: Was hat uns die "Frankfurter Schule" der Statistik gebracht? Darstellung einer deutschen Fehlentwicklung am Beispiel der Indextheorie von Paul Flaskämper. Institut für Betriebswirtschaft und Volkswirtschaft (IBES) - Universität Duisburg-Essen, Duisburg (2012)

    Google Scholar 

  12. Hofstadter, D.R.: Gödel, Escher, Bach—An Eternal Golden Braid. Basic Books, New York (1979)

    MATH  Google Scholar 

  13. Saetnan, A.R., Lomell, H.M., Hammer, S.: By the very act of counting—the mutual construction of statistics and society. In: Saetnan, A.R., Lomell, H.M., Hammer, S. (eds.) The Mutual Construction of Statistics and Society. Routledge, New York (2012)

    Google Scholar 

  14. Cao, L.: Data science: a comprehensive overview. ACM Comput. Surv. 50, 1–42 (2017)

    Article  Google Scholar 

  15. Davies, W.: The Limits of Neoliberalism—Authority, Sovereignty and the Logic of Competition. SAGE Publications, London (2016)

    Google Scholar 

  16. De Clerck, J.-P.: What is the Internet of Things? Internet of Things definitions and segments. In i-SCOOP (2017). https://www.i-scoop.eu/internet-of-things/

  17. Diakopoulos, N.: Accountability in algorithmic decision-making. Commun. ACM 59, 56–62 (2015)

    Article  Google Scholar 

  18. Mance, H.: Britain has had enough of experts, says Gove. Financial Times (2016)

  19. Benessia, A., Funtowicz, S., Giampietro, M., Guimaraes, P.A., Ravetz, J., Saltelli, A.S.R., van der Sluijs, J.P.: The Rightful Place of Science: Science on the Verge. Consortium for Science, Policy and Outcomes, Tempe (2016)

    Google Scholar 

  20. Beck, U.: Risk Society Towards a New Modernity. Sage, London (1998)

    Google Scholar 

  21. EuropeanAlpbachForum.: An introduction to “new enlightenment”. In: E.B.o.t. EuropeanForumAlpbach (Ed.), Forum’16, Alpbach AT (2016)

  22. Kahnemann, D.: Thinking Fast and Slow. Penguin Books, London (2012)

    Google Scholar 

  23. Quetelet, A.: Sur L’homme Et Le Développement De Ses Facultes. Ou Essai De Physique Sociale, Bachelier, Imprimeur-libraire, Paris (1835)

  24. Grohmann, H.: Vom theoretischen Konstrukt zum statistischen Begriff - Das Adäquationsproblem. Allgemeines Statistisches Archiv Allg. Statist. Archiv 69, 1–15 (1985)

    MathSciNet  Google Scholar 

  25. Radermacher, W.: Methoden und Möglichkeiten der Qualitätsbeurteilung von statistischen Informationen aus der Fernerkundung / Methods and Possibilities of Assessing the Quality of Statistical Data of Remote Sensing. Jahrbücher für Nationalökonomie und Statistik, 169–179 (1992)

  26. Desrosières, A.: A politics of knowledge-tools—the case of statistics. In: Sangolt, L. (ed.) Between Enlightenment and Disaster. P.I.E. Peter Lang, Brussels (2010)

    Google Scholar 

  27. Supiot, A.: La Gouvernance par les nombres. Librairie Arthème Fayard, Nantes (2015)

    Google Scholar 

  28. Radermacher, W.J.: Official statistics 4.0—learning from history for the challenges of the future. In: Petrucci, A., Verde, R. (eds.) Statistics and Data Science: New Challenges, New Generations, pp. 800–820. Firenze University Press, Florence (2017)

    Google Scholar 

  29. Jasanoff, S.: States of Knowledge: The Co-production of Science and the Social Order. Routledge, London (2004)

    Book  Google Scholar 

  30. Foucault, M.: Governmentality. In: Burchell, G., Gordon, C., Miller, P. (eds.) The Foucault Effect, pp. 87–104. Chicago University Press, Chicago (1991)

    Google Scholar 

  31. Hand, D.J.: Measurement Theory and Practice: The World Through Quantification. Arnold, London (2004)

    MATH  Google Scholar 

  32. Diaz-Bone, R., Didier, E.: Conventions and Quantification - Transdisciplinary Perspectives on Statistics and Classifications. HSR (Special Issue) vol. 41. Historical Social Research (HSR) (2016). https://www.gesis.org/hsr/aktuelle-hefte/2016/412-conventions-and-quantification/

  33. Radermacher, W.J.: Les Statistiques Comptent - éviter le syndrome du lampadaire et avoir un citoyen européen éclairé. La Revue France Forum no 61 (2016)

  34. Zamora, D., Behrent, M.C.: Foucault and Neoliberalism. Cambridge (2014)

  35. Fukuda-Parr, S., Ely Yamin, A., Greenstein, J.: The power of numbers: a critical review of millennium development goal targets for human development and human rights. J. Hum. Dev. Capab. Multi Discip. J. People Cent. Dev. 15, 1–13 (2014)

    Google Scholar 

  36. Brown, W.: Undoing the Demos: Neoliberalism’s Stealth Revolution. MIT Press, London (2015)

    Google Scholar 

  37. Davis, K.E., Fisher, A., Kingsburry, B., Engle Merry, S.: Governance by Indicators—Global Power through Quantification and Rankings. Oxford University Press, Oxford (2012)

  38. Sangolt, L.: Between Enlightenment and Disaster: Dimensions of the Political Use of Knowledge. P.I.E Peter Lang, Ixelles (2010)

    Book  Google Scholar 

  39. Turnpenny, J.R., Jordan, A.J., Benson, D., Rayner, T.: The tools of policy formulation: an introduction. In: Jordan, A.J., Turnpenny, J.R. (eds.) The Tools of Policy Formulation, pp. 3–29. Edgar Elgar, Cheltenham (2015)

    Google Scholar 

  40. Davies, W.: How Statistics Lost Their Power–and Why We Should Fear What Comes Next. The Guardian, London (2017)

    Google Scholar 

  41. MarchforScience.: March for Science (2017). https://www.marchforscience.com. Accessed 20 Apr 2018

  42. Fukuda-Parr, S.: United Nations High Level Political Forum Opening Panel, 10 July, 2017—Statement by Sakiko Fukuda-Parr. United Nations, New York (2017)

    Google Scholar 

  43. Eurostat.: Sustainable Development in the European Union - A Statistical Glance from the Viewpoint of the UN Sustainable Development Goals. Publications Office of the European Union, Luxembourg (2016)

  44. Radermacher, W.: Indicators, green accounting and environment statistics : information requirements for sustainable development. Int. Stat. Rev. J. Int. Stat. Inst. Assoc. 67, 339–354 (1999)

    Google Scholar 

  45. Lehtonen, M.: Indicators: tools for informing, monitoring or controlling? In: Jordan, A.J., Turnpenny, J.R. (eds.) The Tools of Policy Formulation—Actors, Capacities, Venues and Effects, pp. 76–99. Edward Elgar Publishing, Cheltenham (2015)

    Google Scholar 

  46. Braungardt, J.: Immanuel Kant: What is Enlightenment? (1784). http://braungardt.trialectics.com/philosophy/early-modern-philosophy-16th-18th-century-europe/kant/enlightenment/. Accessed 20 Apr 2018

  47. OxfordDictionaries.: Oxford Dictionaries Word of the Year 2016 is... (2016). https://www.oxforddictionaries.com/press/news/2016/12/11/WOTY-16. Accessed 20 Apr 2018

  48. GfdS, GfdS wählt ”postfaktisch“ zum Wort des Jahres 2016. In: G.f.D. Sprache (Ed.) (2016)

  49. PopeFrancis.: Address to European Parliament, Strasbourg, France, on Tuesday November 25, 2014 (2014)

  50. Lohr, S.: Civility in the age of artificial intelligence—vital speeches of the day. In: R. Zicari (ed.) pp. 8–12, ODBMS.org (2016)

  51. ISI.: ISI Declaration on Professional Ethics, InternationalStatisticalInstitute, The Hague The Netherlands (2010)

  52. UnitedNations: Fundamental Principles of Official Statistics. UnitedNations, New York (2014)

    Google Scholar 

  53. Eurostat.: European Statistics Code of Practice Eurostat (2018). http://ec.europa.eu/eurostat/web/quality/european-statistics-code-of-practice. Accessed 25 Jan 2018

  54. EuropeanCommission.: Consolidated Version of the Treaty on the Functioning of the European Union, OfficialJournaloftheEuropeanUnion, Brussels, pp. 192–193 (2012)

  55. Eurostat.: Regulation (EC) No 223/2009 of the European Parliament and of the Council 2009R0223—EN-08.06.2015—001.001—1, Eurostat, Luxembourg (2015)

  56. Radermacher, W.J.: Quality declaration of the European Statistical System-Inauguration. CESS 2016, Budapest (2016)

  57. Radermacher, W.J., Baldacci, E.: Official statistics for democratic societies-dinner speech at the CESS 2016, Budapest. In: Conference of European Statistical Stakeholders, Budapest (2016)

  58. Eurostat: DIGICOM—Users at the Forefront. Eurostat, Luxembourg (2017)

    Google Scholar 

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Correspondence to Walter J. Radermacher.

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Radermacher, W.J. Official statistics in the era of big data opportunities and threats. Int J Data Sci Anal 6, 225–231 (2018). https://doi.org/10.1007/s41060-018-0124-z

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