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].