Reproducibility is the key factor of open science
Although open science (including open hardware) practices have many moral benefits, the key aspect of it all should always revolve around reproducibility of scientific results. People struggle on endless discussions about the definition of open
something that is not publicly available is not open source. Software def. https://t.co/Uow4cPidGw states that users have the "right to use, study, change, and distribute the software and its source code to anyone and for any purpose."— André Maia Chagas (@Chagas_AM) October 28, 2021
If I cannot access it, I cannot do any of it
The reality is that science has a very severe crisis with reproducibility. The paramount paradigm of scientific discovery should be that others can perform the same experiment and get the same results. The semantics are secondary, what is real is that the only way of being able to reproduce an experiment is with enough information[@hohlbein2021aOpen microscopy in the life sciences: Quo Vadis?].
Using reproducibility as a guiding principle, the other problems would self-align. There may be a patent in the middle, trademarks, proprietary algorithms. But nothing should be in between reproducing results, or it should not be called science anymore.
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