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].