Code Ocean and Springer Nature expand partnership across the Nature Portfolio to help authors better share their code and data
Improving computational reproducibility, making code peer review easier and enhancing the author experience
London｜Cambridge, 20 September 2024
Authors submitting primary papers to the Nature branded journals, including Nature and all the Nature Research journals, can now share their code and data via the Code Ocean platform as part of the manuscript submission process. This extended partnership between Code Ocean and Springer Nature enables more authors to benefit from enhanced reproducibility, transparency and research efficiency, enhancing the author experience and helping to eliminate hurdles in sharing data and code.
Code Ocean's CEO Simon Adar commented:
"This partnership demonstrates our commitment to computational reproducibility and accessibility in scientific research. The integration of Code Ocean with Nature Portfolio’s submission platform streamlines code sharing as part of the article submission process and ensures that code submitted to these journals meets rigorous standards for reproducibility."
Erika Pastrana, Editorial Director, Nature Journals, said:
“This collaboration represents a significant step forward in our commitment to computational reproducibility in published research. We want to support all authors in being able to openly share and publish key research objects. Enabling this integrated workflow across the Nature branded journals means more authors will benefit from a streamlined experience - increasing transparency in research, reducing duplication of effort and facilitating the faster advancement of science.”
Code Ocean is a Computational Science platform for researchers, supporting them with a fast and efficient way to start, scale, collaborate, and reproduce computational research central to their work. As part of the integration, Nature journals also allow authors who have other means of sharing code, for example, via GitHub or Zenodo, to provide those details directly through the journal submission platform. Using this integration, editors will be able to track the sharing of code directly on the submission platform, and where appropriate, will automatically see the relevant information and instructions to reviewers to peer review the code.
Springer Nature has long been committed to advancing reproducibility and open research practices. This includes steps taken to improve reproducibility of published research by the Nature portfolio journals, the first of its kind pilot exploring reproducibility on highly selective titles, the introduction of Springer Nature Data policies and continued support for protocol sharing, including through our open repository for community-contributed protocols, Protocol Exchange.
Code Ocean is a Computational Science platform for life science R&D teams who want a fast and efficient way to start, scale, collaborate, and reproduce computational research. It helps Computational Scientists set up and scale their workflows, work closer together, and lets them support non-coding bench scientists with accessible, intuitive applications. Built on FAIR data principles, it helps avoid technical debt, improves data architecture, and improves organizational compliance and quality.is a Computational Science platform for life science R&D teams who want a fast and efficient way to start, scale, collaborate, and reproduce computational research. It helps Computational Scientists set up and scale their workflows, work closer together, and lets them support non-coding bench scientists with accessible, intuitive applications.
For more information, please visit codeocean.com, or click here to explore the Open Science Library (OSL).
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Katie Baker | Corporate Affairs | Springer Nature
katie.baker@springernature.com
