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The professionalisation of data science

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  • Michael A. Walker

Abstract

Data science is establishing basic foundations to become a profession. Like the professionalisation of law and medicine in the past 100 years, the data science field is at the very beginning of becoming a profession - with competency standards, a code of professional conduct, specialised graduate-level curriculums, certification and licensure and self-regulation. All professions require highly specialised education and training, an ethical code, self-regulation by a professional association and certification and licensing. Data science should become a profession for the same reasons medicine and law became professions: each requires practitioners to have a specialised body of knowledge, a code of conduct and self-regulation by knowledgeable professionals to assure competency and protect the public. The data science community can follow a roadmap for how data science can be professionalised by reviewing the history of the medical and legal professions. Suggested is a seven-step process for the professionalisation of data science.

Suggested Citation

  • Michael A. Walker, 2015. "The professionalisation of data science," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 1(1), pages 7-16.
    • Handle: RePEc:ids:ijdsci:v:1:y:2015:i:1:p:7-16
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