cos.io
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Center for Open Science (cos.io) is a nonprofit that builds open-source tools and promotes reproducibility and transparency in research. The site explains and provides access to the Open Science Framework (OSF), preregistration, data sharing resources, and educational materials on replication and open science practices.
More resources on Replication Studies
Replication Index
Blog by University of Toronto psychologist Ulrich Schimmack applying z-curve and the replicability index to published psychology literature. Readers learn how to estimate replicability, detect publication bias, and critically assess the evidential strength of individual studies and journals.
Open Science Framework
Free, open-source research management platform from the nonprofit Center for Open Science for preregistering studies, sharing data and materials, and hosting replication projects. Users can learn to create time-stamped preregistrations and make their workflow transparent and reproducible.
Reproducibility and Replicability in Science
A 2019 consensus report from the National Academies defining reproducibility and replicability, examining why scientific results fail to replicate, and recommending practices for researchers, journals, and funders to improve transparency, computational rigor, and the reliability of published findings.
Reproducible Research
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.
nature.com
Nature.com is the official site of Nature journals, delivering peer‑reviewed research articles, reviews, and news across the natural sciences, including genetics and genetic engineering. It features content from Nature and related journals, plus expert commentary, features, and research highlights.