What are four R’s in open science
Open science is modeled through incorporating open access, open data, open metrics and impact, open source, open repositories, open lab journals and notebooks, etc.
The importance of open science through the four R’s of open science
- Reliable: It is important to evaluate research in two ways. First, with respect to scientific principles and criteria, like validity. Second, with respect to criteria out of professional context, which will help ensure that the research results are more reliable.
- Reproducible: Transparency is critical when doing research. Open science allows researchers to clearly show the research steps and measures to get the results in hand. Being open about the methods, processes, and decision-making during research facilitates someone else continuing with the same research, and possibly obtaining the same results while incorporating the same steps.
- Reusable: By making research results reusable, you allow others to build upon the solid foundation your research has created in a given subject.
- Relevant: Research quality describes the measurable influence of academic research on the academic community. Research impact includes environmental, cultural, and societal impact, as well as economic returns and societal benefits.
