2016年11月8日 · We propose a framework for rigor that includes redundant experimental design, sound statistical analysis, recognition of error, avoidance of logical fallacies, and intellectual honesty. These elements lead to five actionable recommendations for research education. Rigor is a prized quality in scientific work.

Two of the cornerstones of science advancement are rigor in designing and performing scientific research and the ability to reproduce biomedical research findings. The application of rigor ensures robust and unbiased experimental design, methodology, analysis, interpretation, and reporting of results.

We provide 8 recommendations to improve reproducibility, transparency, and rigor in computational biology—precisely the values that should be emphasized in life science curricula.

2018年11月16日 · Despite its value in higher education, academic rigor is a challenging construct to define for instructor and students alike. How do students perceive academic rigor in their biology course work? U...

Rigor entails a meticulous and thorough approach to study design, data collection, and analysis, where we focus on minimizing bias and providing appropriate interpretation of findings.

Think about inherent biases and how you can transparently report your research process. Note conflicting results in previous studies, and consider how your work would seek to clarify misconceptions or complications. Understand that rigor of the studies on which you base your hypothesis is a vital component of the robust design of your research ...

Transparency in developing detailed prospective experimental designs and providing raw data are essential premises of rigor and reproducibility. Standard peer reviews and journal-specific technical and statistical reviews are critical factors for enhancing rigor and reproducibility.

2017年12月26日 · This research took a sampling of introductory and advanced biology students and asked them to define academic rigor through the lens of the learner. Their definitions provide insight about what attributes of a course make it rigorous.

Design your experiment with sufficient controls (rigor) and replicates (reproducibility). Assure that ALL of your reagents (antibodies, cell lines, mice) are fully validated (see below).

We suggest that scientific rigor combines elements of mathematics, logic, philosophy, and ethics. We propose a framework for rigor that includes redundant experimental design, sound statistical analysis, recognition of error, avoidance of logical fallacies, and intel-lectual honesty.