Computational Reproducibility: A Primer from UKRN

This is a preprint and may not have undergone formal peer review

Metadata

Item Type:	Preprint
Authors/Creators:	Schultze, A. Saul, L. Roesch, E. Rinke, E.M. https://orcid.org/0000-0002-5330-7634 Mahmoud, O. Kelson, M. DeBruine, L. Coca-Castro, A. Booth, F. Baykova, R.
Copyright, Publisher and Additional Information:	This is an open access preprint under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Dates:	Published: 26 March 2026
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Politics & International Studies (POLIS) (Leeds)
Date Deposited:	10 Apr 2026 16:41
Last Modified:	10 Apr 2026 16:41
Published Version:	https://zenodo.org/records/19232891
Identification Number:	10.5281/zenodo.19232891
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:239601

CORE (COnnecting REpositories)