The Switzerland of Computational Science

The Code Ocean team is still buzzing from a fantastic week in Basel Switzerland at BioTech X Europe, where we met with some of the best minds in computational research to discuss the importance of reproducibility and how to make science more collaborative.  

As the first and only integrated library and workbench that guarantees reproducibility and speeds up discovery,  Code Ocean provides one place for researchers to share research data and computational assets, collaborate more quickly, and communicate effectively.  Of course, there are a lot of other great tools out there, but most of them function in a prescriptive way that requires researchers to replace their existing solutions with a new SaaS platform, and to insist that everyone in their networks adopt that platform.  

Code Ocean takes a completely neutral, agnostic approach (not unlike Switzerland!), by prioritizing flexibility to meet the needs of scientists, rather than requiring researchers to change their preferred working methodologies. Rather than replacing existing cloud-based platforms such as Amazon Web Services and Google Cloud, Code Ocean integrates with these platforms and enhances their functionality by preserving a record of all coding, data and software, thereby maintaining complete visibility, lineage, and reproducibility.

Code Ocean recognizes that professionals who are working in collaborative science are already contending with a lot of “noise” in their work environment, coming from an array of technical and communications platforms.  Instead of adding to that noise, we aim to streamline the collaboration process for  a wide array of research organizations, from universities to global biotech and pharma enterprises to publishing organizations like Nature Portfolio, Elsevier, IEEE, and the American Association of Cancer Research. 

This week,  Code Ocean will introduce a new offering for Academic Research Labs, offering deeper support and more robust capabilities, including the ability to not only publish, but also to build upon work that has been previously published by other institutions and teams.  Academic institutions have been requesting more robust support for their research labs, but many do not have the budget to support a cloud-based enterprise platform.  

Code Ocean is now making many of the features that were previously associated only with our enterprise platform available to university academic labs free of charge, in order to support better collaboration within the research sector.  Academic labs that were holding off on migrating to the cloud due to budgetary concerns will now be able to better leverage their existing on-premise infrastructure.  This offering will dramatically improve the traceability and reproducibility of computational science across academia.

Through its Open Science Library (OSL), a unique development and library platform that allows researchers to publish and share computational research, Code Ocean already serves more than 1,000 universities, including Princeton, Stanford, MIT, Harvard, Oxford the London School of Economics, ETH Zurich, Ecole Polytechnique Fédérale de Lausanne, and many others.  The Code Ocean OSL is available, accessible and free, containing more than 3,000 published computational experiments that can be launched on AWS or GCP, duplicated for further research, or fully exported to run on a local computing environment. In addition, the Code Ocean OSL has a collaborative space for teams to work together, with more than 40,000 projects to date. The OSL is available to any scientific developer or author publishing through leading journals such as Nature, IEEE, Elsevier, and others. Computational code is available from a wide spectrum of research areas including bioinformatics; biology; chemistry; computer science; earth science; economics; engineering; finance; mathematics; medical sciences; physics; and social sciences.

If you are interested in learning more about Code Ocean’s new academic offering, please visit https://codeocean.com/contact/ .  

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