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Code Execution during peer review with CODECHECK

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If you have a question about this talk, please contact Jack Atkinson.

Data and software are the foundation for a vast variety and volume of computational research in all scientific disciplines. This is how we make sense of small and huge datasets using everything from one-off scripts to high-performance computing infrastructures. Nowadays, most of these works are eventually presented to a scientific community in form of a paper for the recognition of research outputs and career advancement. Research papers are increasingly accompanied by data and software to ensure transparency, reproducibility, and reusability. This change is driven by shifting community practice as well as by publisher guidelines. However, the actual inspection of these building blocks is not a common part of the publication and peer review process. The CODECHECK initiative tries to make code execution standard practice in peer review using a particular focus and a set of principles. We present variants of CODECHECK and highlight the possibilities for research software engineers to participate in academic peer review as codecheckers. Furthermore, we demonstrate the AGILE conference’s Reproducibility Review as a concrete implementation of CODECHECK . The Reproducible AGILE initiative demonstrates how good scientific and development practices can be encouraged and spread through communication and collaboration.

Daniel is a research software engineer and postdoc at the Chair of Geoinformatics, TU Dresden, Germany. He develops tools for open and reproducible geoscientific research and is a proponent for open scholarship and reproducibility in the projects NFDI4 Earth (https://nfdi4earth.de/), OPTIMETA (https://projects.tib.eu/optimeta), and CODECHECK (https://codecheck.org.uk/).

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This talk is part of the RSE Seminars series.

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