Evidencing the Impact of Research Software Engineers: survey database

Evidencing the Impact of Research Software Engineers: survey database This is the evidence base gathered in support of Evidencing the Impact of Research Software Engineers on Arts & Humanities Scholarship Authors David Beavan, The Alan Turing Institute André Piza, The Alan Turing Institute Oscar Seip, University of Manchester Rob Hearn Pieter Francois, The Alan Turing Institute/University of Oxford Stephanie Fagan, The Alan Turing Institute Authors of this work retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Acknowledgements We would like to thank all those who have contributed, under anonymity, to the evidence base. Without these rich responses we could not have created such a community inspired document. The credit framework we use is the Contributor Roles Taxonomy CRediT – a high-level taxonomy comprising 14 roles that can be used to describe contributions to a research output. While the contributor roles definition can be open to interpretation, we consider that they fit well the types of contributions we have attributed to the authors. Conceptualisation, Investigation, Methodology, Project administration: David Beavan, André Piza Conceptualisation, Data curation, Formal analysis, Investigation: Rob Hearn Conceptualisation, Funding acquisition, Project administration, Supervision: Pieter Francois Writing – review & editing: David Beavan, Rob Hearn Data curation, Supervision: David Beavan Conceptualisation, Project administration: Stephanie Fagan Investigation: Oscar Seip This work was supported by the Arts and Humanities Research Council [grant number AH/Y00745X/1].