Nature Portfolio: This Open Science Library Showcases Ready-to-Run Software by Authors in Nature Journals

Artificial intelligence is playing a major role in the transformation of the life sciences industry. From enabling researchers to handle the growing amount of data to help them reproduce their prior work, artificial intelligence is endowing the industry with umpteen possibilities.

Recently, Code Ocean announced its partnership with Nature Portfolio to launch a curated Open Science Library, containing research software published by authors in popular Nature journals. It will include Nature Methods, Nature Computational Science, Nature Biotechnology, Nature Machine Intelligence, and more. The journals publish not only primary research but also reviews, critical comment, news, and analysis.

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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.

Reproducible Research Cloud – What Does it Do?

The Reproducible Research Cloud for research data and computational software 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.
• It provides full knowledge of the path a scientist took during discovery, making each stage of computation fully reproducible.

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What Readers Can do?

Erika Pastrana, Editorial Director, Nature Portfolio explains that the unique collection of compute capsules will enable readers to easily re-use code associated with the publications, and support the authors to gain more visibility, boost the usage of their work, and ensure reproducibility.

The Struggle so Far

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).

Simon Adar, Co-founder, and CEO, of Code Ocean, highlight that the brand ‘addresses the creative chaos inherent in computational science by providing one end-to-end platform for data and computational research in the wet and dry lab’. Nature’s highly esteemed research authors publish the world’s cutting-edge computational research on the Open Science Library.

With open access to all researchers, the library of ready-to-run research software will work towards enhancing the quality of life science research.

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Benjamin Haibe-Kains, Ph.D., Associate Professor, Medical Biophysics Department, University of Toronto, highlights that when recreating analysis code from scratch or having issues running the provided code, the process, most likely will be a ‘labor-intensive, lengthy, and risky initiative.’

With this new step, Code Ocean has simplified not only tracking but also reproducing while ensuring the results are accurate.

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