Continuing the brainstorming on the future of science 2.0, we can envisage that by 2030 reproducibility will be considered a fundamental requirement for scientific publication. Research papers will be expected to contain all the necessary information to reproduce the experiment and validate the results.
Reproducibility will be formalised in a set of rules. A minimum standard of reproducibility will be required for publication (just as PLOS one does); or maybe publications will have a “reproducibility label” assigned by third party services. Reproducible findings will be considered as higher quality, and the label will enable also non experts (e.g. policy makers) to appreciate it.
Making research reproducible is costly, in terms of documenting the experiments and curating the data, especially when it needs to be retro-fitted after the research. This is why, increasingly, research protocols and methods will be formalised as templates and through tools that facilitate gathering the necessary information to enable reproducibility.
The very fact of making research reproducible will automatically reduce the amount of false findings (both in bad and good faith), by reducing the incentive to cheat and by introducing more formalised analytical methods.