Poster presented by Esther Plomp for the Research Data Alliance 16th Plenary Meeting.
\n\nReproducible research is necessary to ensure that scientific work can be trusted. By sharing data, analysis code and the computational environment used to generate the results, researchers can more effectively stand on the shoulders of their peers and colleagues and deliver high quality, trustworthy and verifiable outputs. This requires skills in data management, library sciences, software development, and continuous integration techniques: skills that are not widely taught or expected of academic researchers. Skills that are unreasonable, in fact, to expect in one individual team member. The Turing Way (https://the-turing-way.netlify.com) is a handbook to support students, their supervisors, funders and journal editors in ensuring that reproducible research is "too easy not to do". It includes training material on version control, analysis testing, collaborating in distributed groups, open and transparent communication skills, and effective management of diverse research projects. The Turing Way is openly developed and any and all questions, comments and recommendations are welcome at our GitHub repository (https://github.com/alan-turing-institute/the-turing-way).
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Reproducible research is necessary to ensure that scientific work can be trusted. Funders and publishers are beginning to require that publications include access to the underlying data and the analysis code. The goal is to ensure that all results can be independently verified and built upon in future work. This is sometimes easier said than done. Sharing these research outputs means understanding data management, library sciences, sofware development, and continuous integration techniques: skills that are not widely taught or expected of academic researchers and data scientists. The Turing Way is a handbook to support students, their supervisors, funders and journal editors in ensuring that reproducible data science is "too easy not to do". It will include training material on version control, analysis testing, and open and transparent communication with future users, and build on Turing Institute case studies and workshops. This project is openly developed and any and all questions, comments and recommendations are welcome at our github repository: https://github.com/alan-turing-institute/the-turing-way.
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