Group 4
Interaction between editors and Github in the context of publication.
- Pros: Augmented paper with shareable data on a repository, no need for the researcher to reformat the data in the way which the editor wants.
- Cons: Journals are old-fashioned and don't want to have some data on Github, they want to have everything in their own format.
Solution ideas:
- Creation of journals that allow the idea of 'Augmented' research paper with code as a part of the content
Using open source software to analyze data and collaborate with a company/collaborator
- Pros: Software interoperability and customization, no need for expensive licenses
- Cons: Reliability, people are used to the software they already use and don't want to change. Lack of intuitiveness of open source software
Solution ideas:
- Spread the fact that open software does not imply a cost, thus would save a lot of money to institution, governments, etc
- Promote during education the use of open source software so the people employed in companies and public institutions are already used to them.
- All the money saved on licenses can finance the promotion during education
Group 5
Data Analysis - Open access forums like StackOverflow, MathWorks
- Pros: Time saving, faster progress, motivation, educating --- for researcher, peers, PI and funding agencies
- Cons: Preventing in-depth study of work, not knowing what the software actually does or whether it is reliable or not, how to cite the info? --- for researcher, PI, audience