Code Ocean

One computer scientist explores how creating documentation and a demo for code increases its accessibility. http://bit.ly/2CA1eKL

"You simply must have an online presence. In fact, you already have one." http://bit.ly/2AzY4W4

Everything could have been done much faster. Trying to build upon someone else's work can be a time-consuming process. https://buff.ly/2irD9AT

In this F1000Research blog post, authors describe their figures and share why they wanted to make them interactive. https://blog.f1000.com//interactivity-scientific-figures-/

Upcoming workshop organized with The Odum Institute for Research in Social Science and UNC Libraries Research Hub: Preparing your data and code for reproducible publication. Join April Clyburne-Sherin at UNC-Chapel Hill Library to learn more about computational reproducibility, best practices for documentation and sharing, and tools for publishing code and data. http://bit.ly/2F5ctzX

How one scientist is facing the challenge of taking wireless communication to new levels http://bit.ly/2tuPHfp

PLOS.org is calling for papers that promote the principles and values of open science to form a Collection in quantum computation and simulation. Through this Collection, they intend to encourage greater transparency and reproducibility in research through open availability of source code. http://blogs.plos.org/everyone//02/call-for-papers-quantum/

In our latest blog post, Developer Advocate Seth Green gives an overview of how a single Code Ocean compute capsule can accommodate multiple programming languages, with notes on built-in package managers and the setup script. http://bit.ly/2EMsnhK

We are thrilled to announce our new partnership with Taylor & Francis! Researchers will now be able to run code on the article page, making it easy to reproduce and replicate data findings. http://bit.ly/2EnXjCj

So excited to take part in the RDAP Summit this year!

[Science] is for society. If we share, we go a step further all together." When it comes to cancer research, scientist Matteo Maspero is exploring new ways of looking at traditional treatments: http://bit.ly/2EVMfv6

Creating research that is reproducible sometimes seems like a challenge - but it shouldn’t have to be! Join us at the University of Pennsylvania with Daniel Evanko of the American Association for Cancer Research to learn simple steps for curating reproducible data and code for publication. https://codeocean.com/workshop/upenn