CODECHECK is a collaboration project lead by Stephen Eglen and Daniel Nüst together with a community of codecheckers, collaborators in the scientific, publishing and scholarly infrastructure communities, and a codecheckers team.


Stephen Eglen (PI)

Stephen Eglen is a reader in Computational Neuroscience at the University of Cambridge. He has over 20 years experience as a researcher in Computational Neuroscience, and has worked on several projects encouraging more code and data sharing in Neuroscience. Most recently this led to a trial project with the journal Nature Neuroscience, and our guidelines for sharing in Neuroscience. Stephen is also a fellow of the Alan Turing Institute (ATI), based in the British Library, and a member of the International Neuroinformatics Coordinating Facility which will provide logistical support e.g. on supercompute infrastructure.

Stephen will contribute his domain-specific expertise in computational neuroscience.

Daniel Nüst (Co-PI)

Daniel Nüst is researcher and open source software developer at the Institute for Geoinformatics (ifgi), University of Münster. In the project Opening Reproducible Research (o2r) he develops new specifications and tools to support scientists in working more reproducible using containers. He is also engaged in the Open Source and Open Science communities and has held workshops on Reproducible Research in geosciences, GIScience, and digital humanities.

Daniel will contribute his technical expertise in reproducible research infrastructure.


The codecheckers team does the hard work of conducting CODECHECKs. Become a codechecker!



The following journals have completed at least one CODECHECK.

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The project is supported by a Mozilla Open Science Mini-Grant (see official announcement) from February 2019 to May 2020.

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