Guest Post – Code Plagiarism and AI Create New Challenges for Publishing Integrity
This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.
Daniel S. Katz is Chief Scientist at the National Center for Supercomputing Applications (NCSA) and Research Professor in the Siebel School of Computing and Data Science and the School of Information Sciences, at the University of Illinois Urbana-Champaign. He is working to make research software more sustainable by encouraging scholarly incentives and academic career paths for those who work on it, policy changes for its recognition and support, and best practices to make it easier to develop and maintain. He is co-founder and Associate-Editor-in-Chief at the Journal of Open Source Software, co-founder and Steering Committee Chair for the Research Software Alliance (ReSA), and co-founder of the US Research Software Engineer Association (US-RSE).
This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.
In a collaborative open peer review process, the editor’s role changes as much as the reviewer’s role. Editors share some insights about how this works at JOSS.
The Journal of Open Source Software was designed from scratch using the principles of open source and software design practices. This has both advantages and disadvantages, particularly with respect to elements of the traditional scholarly publishing ecosystem.
Daniel Katz and Hollydawn Murray present the FORCE11 Software Citation Implementation Working Group’s guidelines for citing the software used in research publications.