This presents considerable challenges for those who need to run that code to establish its validity, as well as that of the underlying data.It can also create limitations for those researchers looking to reuse that code for furthering their own experiments.
Code Ocean is the winner of the 2018 ALPSP Award for Innovation in Publishing.
Publishers often argue that the industry has undergone a massive transformation in the last 20 years, moving smoothly, swiftly, and effectively from print to digital.
Code is not universal, and researchers develop algorithms, software simulations, and analyses in different programming languages, which can have multiple versions, further complicating the task.
Analyses also depend on different files, packages, scripts, installers, and more, making the process of getting code running successfully both time-consuming and complex.
Editor’s Note: Today’s post is by Pierre Montagano.
Scholarly Research Paper
Pierre is the Director of Business Development for Code Ocean, a cloud-based computational reproducibility platform.
He has worked in publishing for 20 years, starting his career in education with Pearson in 1998.
He then moved on working at Mc Graw-Hill and Cambridge before joining the startup world in 2015.
By focusing so intently on replicating the strengths of print formats, however, publishers and researchers have restricted themselves to reproducing in their digital formats only those elements of the research process that print can convey: primarily, the results obtained, and the conclusions drawn from them.
And though communicating results has long been the accepted role of publishing within the scientific process, in light of opportunities opened up by digital delivery and the internet, we no longer need to restrict publication to this limited stage of the process.