Resources

 

We have an amazing team who curated many resources for the community.

R para Análisis Científicos Reproducibles

Una introducción a R utilizando los datos de Gapminder. El objetivo de esta lección es enseñar a las programadoras principiantes a escribir códigos modulares y adoptar buenas prácticas en el uso de R para el análisis de datos. R nos provee un …

Race to the Bottom: Competition and Quality in Science

This paper investigates how competition to publish first and thereby establish priority impacts the quality of scientific research. We begin by developing a model where scientists decide whether and how long to work on a given project. When deciding …

Raiders of the lost HARK: a reproducible inference framework for big data science

Hypothesizing after the results are known (HARK) has been disparaged as data dredging, and safeguards including hypothesis preregistration and statistically rigorous oversight have been recommended. Despite potential drawbacks, HARK has deepened …

Raise standards for preclinical cancer research

C. Glenn Begley and Lee M. Ellis propose how methods, publications and incentives must change if patients are to benefit.

Raising awareness of uncertain choices in empirical data analysis: A teaching concept toward replicable research practices

Throughout their education and when reading the scientific literature, students may get the impression that there is a unique and correct analysis strategy for every data analysis task and that this analysis strategy will always yield a significant …

Randomization Does Not Help Much, Comparability Does

According to R.A. Fisher, randomization “relieves the experimenter from the anxiety of considering innumerable causes by which the data may be disturbed.” Since, in particular, it is said to control for known and unknown nuisance factors that may …

Rate and success of study replication in ecology and evolution

The recent replication crisis has caused several scientific disciplines to self-reflect on the frequency with which they replicate previously published studies and to assess their success in such endeavours. The rate of replication, however, has yet …

Rationalizing pre-analysis plans: Statistical decisions subject to implementability

Pre-analysis plans (PAPs) are a potential remedy to the publication of spurious findings in empirical research, but they have been criticized for their costs and for preventing valid discoveries. In this article, we analyze the costs and benefits of …

Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions

Scientific code is different from production software. Scientific code, by producing results that are then analyzed and interpreted, participates in the elaboration of scientific conclusions. This imposes specific constraints on the code that are …

Recommendations for empowering early career researchers to improve research culture and practice

Early career researchers (ECRs) are important stakeholders leading efforts to catalyze systemic change in research culture and practice. Here, we summarize the outputs from a virtual unconventional conference (unconference), which brought together 54 …
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