Code Ocean, the world's first Reproducible Research Cloud, has partnered with Nature Portfolio to launch a curated Open Science Library, containing research software published by authors in popular Nature journals, including Nature Methods, Nature Computational Science, Nature Biotechnology, Nature Machine Intelligence, and more. The software collection is available for use with a free account at https://nature.codeocean.com/.
A subsidiary of Springer Nature, Nature Portfolio serves the research community by publishing its most significant discoveries — findings that advance knowledge and address some of the greatest challenges that we face as a society today. Its journals publish not only primary research but also reviews, critical comment, news, and analysis.
Until now, life science researchers have struggled to keep pace with a growing amount of data and computational software that is not immediately reproducible and usable for future research. They often find themselves unable to quickly duplicate research results and build new science on prior experiments. Unfortunately, this reproducibility crisis slows new discoveries, because past results are difficult or impossible to reproduce — in fact, more than 70% of computational research is non-reproducible, according to an analysis by Proceedings of the National Academy of Sciences (PNAS).
Code Ocean provides a Reproducible Research Cloud for research data and computational software that empowers pharmaceutical and biotech researchers to collaborate more quickly and effectively. One of the key differentiators of Code Ocean's approach is its Compute Capsule™, which creates a software package comprising the essential triplet of any computational research experiment – code, data, and computing environment enabling researchers to reproduce, reuse, and collaborate. Capsules, input datasets, and results become assets and are managed in a secure, shareable repository. This system of cloud-based Capsules automatically traces the path of research data, mapping each step in a detailed timeline, and provides full knowledge of the path a scientist took during discovery, making each stage of computation fully reproducible.
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