 The professionalisation of data scienceMichael A. Walker International Journal of Data Science, 2015, vol. 1, issue 1, 7-16 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. Keywords: data science profession; data science professionalisation; licensure; certification; regulation; self-regulation; code of professional conduct; specialised knowledge; code of ethics; data science education; competency standards; ethical codes. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdsci:v:1:y:2015:i:1:p:7-16 Access Statistics for this article More articles in International Journal of Data Science from Inderscience Enterprises Ltd |
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