Becoming a steward of data science
This article introduces the concept of the steward: the individual to whom the public, and other practitioners, can entrust the integrity of their field. The concept will be defined, particularly with respect to what about stewardship can be demonstrated by the practitioner so that others – including other stewards – can recognize this professional identity. Stewardship is an important aspect of professionalism, and although data science is a very new profession, its growth in terms of the number of practitioners should also include growth in the commitment to integrity in practice. Although an undergraduate program may seem early to begin understanding what this commitment means, and how to generate evidence of that commitment for yourself, those with a strong understanding of stewardship and how to recognize it will be better able to select jobs in contexts where this commitment to integrity is nurtured and valued. Learning about stewardship engages students in taking responsibility for their role in the profession, and so taking responsibility for the profession and the professional community. Once the construct is understood, learners can focus on the nature of the evidence they can compile - as well as the types of activities that can generate that kind of evidence- and on why this is meaningful over their career.