The gates to the profession are open: the alternative institutionalization of data science.

In this study, I examine the institutional model of data science as a nascent profession undergoing an occupational founding phase. Drawing on interviews with sixty data scientists, senior managers, and professors from Israel as well as observations at the local professional community's events, I argue that data scientists endorse an open institutional model, upholding largely internet-based institutions focusing on knowledge sharing, networking, and collaboration. This model grants data scientists expertise, autonomy, and authority vis-à-vis clients, employers, and states; provides them with continued credentialing independent of employing organizations; encourages the wide entry of new members; and helps them deal with the accelerated temporality of their field. This open model enables an omnivorous spreading of data science expertise and is used to challenge professionalization as an occupational-institutional model in other professions. Still, this model faces many challenges. [ABSTRACT FROM AUTHOR]