Abstract
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].