The Turing Way

New upload


The Turing Way

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:

Curated by:
Curation policy:
Not specified
March 19, 2019
Harvesting API:
OAI-PMH Interface

Want your upload to appear in this community?

  • Click the button above to upload a record directly to this community.
    To add one of your existing records to the community, edit the record, add this community under the "Communities" section, save, and finally publish.
  • The community curator will then be notified to either accept or reject your upload (see community curation policy below).
  • If your upload is rejected by the curator, it will still be available on Zenodo, just not in this community.