Code Ocean, the world’s first Reproducible Research Cloud, announced today that it has partnered with Nature Portfolio to launch a curated Open Science Library containing research software published by authors in popular Nature journals, including Nature Method, Nature Computational Science, Nature Biotechnology, Nature Machine Intelligence and more. The software collection can be used with a free account at https://nature.codeocean.com/.
Nature Portfolio, a subsidiary of Springer Nature, serves the research community by publishing its most significant discoveries – insights that advance knowledge and address some of the biggest challenges we face as a society today. Its journals not only publish primary research, but also reviews, critical commentary, news, and analysis. “We are very excited to partner with Code Ocean,” said Erika Pastrana, Editorial Director, of Nature Portfolio. “This unique collection of journal calculators will allow readers to easily reuse code associated with our publications, and will help our authors gain greater visibility, increase utilization of their work, and ensure reproducibility.”
Until now, life scientists have struggled to keep up with a growing body of data and computer software that is not immediately reproducible and usable for future research. They are often unable to quickly duplicate research results and build new science on top of previous experiments. Unfortunately, this reproducibility crisis is slowing new discoveries because previous results are difficult or impossible to reproduce — more than 70% of computational research is irreproducible, according to an analysis by Proceedings of the National Academy of Sciences (PNAS).
Code Ocean provides a Reproducible Research Cloud for research data and computer software that empowers pharmaceutical and biotechnology researchers to collaborate faster and more effectively. One of the key differentiators of Code Ocean’s approach is its Compute Capsule™, which creates a software package that encompasses the essential triplet of any computational research experiment – code, data, and computing environment that enables 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 follows the path of research data, mapping each step in a detailed timeline and providing full knowledge of the path a scientist took during discovery, making each phase of the computation fully reproducible.
“Code Ocean addresses the creative chaos inherent in computing by providing an end-to-end platform for data and computational research in the wet and dry lab,” said Simon Adar, co-founder and CEO of Code Ocean. “Nature’s esteemed research authors publish the world’s most cutting-edge computational research in the Open Science Library. This is open access for all researchers. With a library of ready-to-use research software, our joint offering will help accelerate the speed and improve the quality of life science improve research.”
“If you need to build the analysis code from scratch or have trouble running the provided code, it’s likely going to be a labor-intensive, lengthy, and risky initiative,” said Benjamin Haibe-Kains, Ph.D., associate professor, Department of Medicine Biophysics, University of Toronto. “Code Ocean completely solves analyst tracking and replication for researchers and increases confidence in results.”
