COSIG

Introducing COSIG: The Collection of Open Science Integrity Guides

Investigating the integrity of published scientific papers is key to the scientific process, but the necessary knowledge is in short supply. We present COSIG, an open collection of meta-scientific guides enabling anyone to perform forensic peer review.

Science Integrity Digest

A blog about science integrity, by Elisabeth Bik, for Harbers-Bik LLC. Support my work at Patreon.com/elisabethbik

Center for Open Science

At the Center for Open Science, our mission is to increase openness, integrity, and reproducibility of scholarly research. Promoting these practices within the research funding and publishing communities accelerates scientific progress

International Research Integrity Conference | NEXT CONFERENCE 2027

Clear Skies – Your partner in research integrity

How to SNIFF out Good Scientific Software

New PLOS Computational Biology paper: "Ten Quick Tips to SNIFF Out Sustainable and Secure Scientific Software"

Introduction to Open Science

This course introduces the principles and practices of open science, with an emphasis on reproducible research workflows, transparent reporting, and collaborative scholarship. Students will critically examine reproducibility, explore tools that support openness (such as Git, GitHub, and Quarto), and apply these tools in hands-on assignments and a final open project. Students will also explore how open science practices vary across disciplines, including education, humanities, social sciences, industry and government, and STEM contexts. This course emphasizes applying open science principles to real-world data problems in alignment with the principles of producing reproducible research.

The Principles of Open Scholarly Infrastructure (v2.0, 2025)

POSI version 2.0 released October 2025 The POSI Adopters reviewed the version 1.1 principles and consulted with the community to create version 2.0, released in October 2025. The new/always-current …

The Journal of Scientific Integrity

by Laura Luebbert and Lior Pachter Background (by LL) Four years ago, during the first year of my PhD at Caltech, I participated in a journal club organized by the lab I was rotating in. I was assi…

Ten quick tips to SNIFF out sustainable and secure scientific software

Modern computational biology depends heavily on open-source software tools, analysis pipelines, and containerized workflows developed and shared by the research community. While there is extensive guidance (including Quick Tips and Simple Rules articles) on how to build robust and sustainable scientific software, far less has been written for researchers in the role of software users evaluating whether an existing tool is reliable, secure, and sustainable enough for their work. Here we present ten quick tips to help researchers critically assess the tools they adopt. Our tips are organized around a framework that centers on key evaluation features: source, network, interaction, fit, and fragility (SNIFF). These dimensions prompt researchers to consider who maintains a tool and why, whether it is embedded in a broader ecosystem, how actively its developers and users engage, whether it matches the intended use case and licensing requirements, and how robust its dependencies and security practices are. By applying these tips, researchers can make more informed decisions, reduce the risk of relying on abandoned or insecure software, and contribute to a more sustainable scientific software ecosystem.

Leading the future of open science publishing - PLOS

Discover how we are transforming scholarly publishing with a mission-driven commitment to open science, research integrity, and innovation that benefits researchers, institutions, and society worldwide.

The Metacheck Manual

A guide to Metacheck, an R package providing a module based tool for checking scientific manuscripts and data repositories for best practices using text search, R code, and optional LLM queries.

Open Science Foundation

Advancing science through openness

Reproducible research: methodological principles for transparent…

This Mooc proposes methodological principles for open and transparent science. It deals in a practical way with note-taking, computational documentation, replicability of analyses.