We’re partnering with the research code experts at Code Ocean to make it easier for you to link your journal articles to the associated code. Find out how readers can also run code within the body of your article on Taylor & Francis Online.
It’s becoming more common for researchers and developers to share the code they’ve produced. There are many reasons why you should consider doing so, including:
Code Ocean is a web-based interface that allows you to write code in any open-source programming language with any computing resources needed. It provides an easy way to share, discover, and run code. By using Code Ocean you can increase the visibility to your research, as well as:
Our partnership with Code Ocean also allows readers to access and run code directly within your article.
This exciting partnership with Code Ocean will help take Taylor & Francis articles to the next level, improving the openness and transparency of the underlying code. The next phase of our pilot begins in early 2021 when we’re rolling this option out across a number of journals that are rich in code – sign up to our Insights alerts to be notified once this is available.
You can start using Code Ocean to share, discover, and run code today. When depositing code which has a previously published article associated with it, please provide the paper’s DOI. This will create a link from Code Ocean to the article on Taylor & Francis Online.
Find out how you can also share your Code Ocean compute capsules when publishing with F1000 Research.
Research outputs can take many forms – whether this be an article, code, data, or graphs. At Taylor & Francis we want to help researchers open up all these crucial elements of research, making them transparent and visible. This ensures research results can be verified and reproduced, and that researchers are given credit for all their valuable outputs.
Find out about some of the ways you can open up your research:
Open data and data sharing: Taylor & Francis supports a number of open data initiatives
Registered Reports: Have your study peer reviewed and get an in-principle acceptance before you start collecting your data
Preprints: post your original manuscript to a preprint server before you submit it to a peer reviewed journal
Open Science Badges: icons for your articles when you share data, materials, or preregister