By Matthew Archer, Stephen Dowsland, Rosa Filgueira, R. Stuart Geiger, Alejandra Gonzalez-Beltran, Robert Haines, James Hetherington, Christopher Holdgraf, Sanaz Jabbari Bayandor, David Mawdsley, Heiko Mueller, Tom Redfern, Martin O'Reilly, Valentina Staneva, Mark Turner, Jake VanderPlas, Kirstie Whitaker (authors in alphabetical order)
In our institutions, we employ multidisciplinary research staff who work with colleagues across many research fields to use and create software to understand and exploit research data. These researchers collaborate with others across the academy to create software and models to understand, predict and classify data not just as a service to advance the research of others, but also as scholars with opinions about computational research as a field, making supportive interventions to advance the practice of science.
Some of us use the term "data scientist" to refer to our team members, in others we use "research software engineer" (RSE), and in some both. Where both terms are used, the difference seems to be that data scientists in an academic context focus more on using software to understand data, while research software engineers more often make software libraries for others to use. However, in some places, one or other term is used to cover both, according to local tradition.
What we have in common
Regardless of job title, we hold in common many of the skills involved and the goal of driving the use of open and reproducible…Continue Reading