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Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics

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  • William S. Cleveland

Abstract

An action plan to enlarge the technical areas of statistics focuses on the data analyst. The plan sets out six technical areas of work for a university department, and advocates a specific allocation of resources devoted to research in each area and to courses in each area. The value of technical work is judged by the extent to which it benefits the data analyst, either directly or indirectly. The plan is also applicable to government research labs and corporate research organizations.

Suggested Citation

  • William S. Cleveland, 2001. "Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics," International Statistical Review, International Statistical Institute, vol. 69(1), pages 21-26, April.
    • Handle: RePEc:bla:istatr:v:69:y:2001:i:1:p:21-26
    DOI: 10.1111/j.1751-5823.2001.tb00477.x
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    Cited by:

    1. Jennifer Lewis Priestley & Robert J. McGrath, 2019. "The Evolution of Data Science: A New Mode of Knowledge Production," International Journal of Knowledge Management (IJKM), IGI Global, vol. 15(2), pages 97-109, April.
    2. Shalini R. Urs & Mohamed Minhaj, 2023. "Evolution of data science and its education in iSchools: An impressionistic study using curriculum analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 606-622, June.
    3. Situngkir, Hokky, 2015. "Indonesia embraces the Data Science," MPRA Paper 66048, University Library of Munich, Germany.
    4. Ulrich Rendtel & Willi Seidel & Christine Müller & Florian Meinfelder & Joachim Wagner & Jürgen Chlumsky & Markus Zwick, 2022. "Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“ [Statistics between data science, artificial intelligence and big da," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(2), pages 97-147, June.
    5. Claude E. Concolato & Li M. Chen, 2017. "Data Science: A New Paradigm in the Age of Big-Data Science and Analytics," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 119-143, July.
    6. Stephan R. Sain, 2023. "Data science and climate risk analytics," Environmetrics, John Wiley & Sons, Ltd., vol. 34(2), March.
    7. Costa, Carlos & Santos, Maribel Yasmina, 2017. "The data scientist profile and its representativeness in the European e-Competence framework and the skills framework for the information age," International Journal of Information Management, Elsevier, vol. 37(6), pages 726-734.
    8. Hassani, Hossein & Beneki, Christina & Silva, Emmanuel Sirimal & Vandeput, Nicolas & Madsen, Dag Øivind, 2021. "The science of statistics versus data science: What is the future?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Nils Hachmeister & Katharina Weiß & Juliane Theiß & Reinhold Decker, 2021. "Balancing Plurality and Educational Essence: Higher Education Between Data-Competent Professionals and Data Self-Empowered Citizens," Data, MDPI, vol. 6(2), pages 1-15, January.
    10. Daphne R. Raban & Avishag Gordon, 2020. "The evolution of data science and big data research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1563-1581, March.
    11. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
    12. Göran Kauermann & Helmut Küchenhoff, 2016. "Statistik, Data Science und Big Data [Statistics, data science, and big data]," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 10(2), pages 141-150, October.
    13. Marynia Kolak, 2018. "Ian Foster, Rayid Ghani, Ron S Jarmin, et al. (eds), Big data and social science: A practical guide to methods and tools," Environment and Planning B, , vol. 45(2), pages 388-389, March.

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