Open Science Courses and Certifications

Reproducible Research

27 ratings

Publish analyses others can rerun: structure a data analysis, write literate documents with knitr and Markdown, and apply a reproducibility checklist to your work.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

A starter’s guide to Open Science

19 ratings at Coursera

Learn to define open science and apply practices such as open access, FAIR data and repositories, preregistration, registered reports, open educational resources, and open research evaluation.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Open Science: Sharing Your Research with the World

Explore ways to apply Open Science principles to academic work - including your own. Learn how to share your research effectively and responsibly, building greater visibility and impact.

• edX
• 6 weeks, 3-4 hours a week
• Self-Paced
• Free Online Course (Audit)

Introduction to Open Science

Explore Open Science across the research cycle: reproducibility and replicability challenges, preregistration, open methods, materials and code, data sharing, preprints and open access publishing.

• Complexity Explorer
• Self-Paced
• Free Certificate

Complexity Explorer

Open Science Tutorial: Pre-registration - Unit 3

Learn how preregistration makes research plans transparent, choose platforms and templates, and assess whether a paper has been properly preregistered.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Complexity Explorer

Open Science Tutorial: Publication Practices - Unit 6

Learn how preprints, open peer review, and open access make scientific publishing more transparent and inclusive.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Fred Hutchinson Cancer Center;  Johns Hopkins Career Certificate

Enhancing Reproducible Science with GitHub and Docker

5 ratings at Coursera

Make scientific analyses reproducible: apply code review, version control with Git and GitHub, containerize computing environments with Docker, and automate code testing with GitHub Actions.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Fred Hutchinson Cancer Center

Making Science Reproducible - A Capstone Course

Make research reproducible: build and test an original Docker image, store GitHub secrets securely, and create a GitHub Action to run and test repository code.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Achieving public dialogue

3 ratings at OpenLearn

There are a wide range of interactions between 'science' and 'the public'. Examples range from visiting a museum, or indulging in a science-related hobby, to reading a newspaper article about a ...

• OpenLearn
• 16 hours
• Self-Paced
• Free Certificate

Complexity Explorer

Reproducibility, Replicability and Challenges in Scientific Research - Unit 2

An introduction to reproducibility, replication projects, questionable research practices, and how research incentives shape scientific practice.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Insper

Gestão de Dados Científicos

34 ratings at Coursera

Introdução à Gestão de Dados Científicos: organização, curadoria e publicação de dados para beneficiar a comunidade científica, promover o reuso e a reprodutibilidade de experimentos.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

The Julia Programming Language

Mapping the Julia Subsystem in Open Science - Use, Impact, Growth

Discover how MOSS maps Julia's impact on open science through knowledge graphs, revealing connections between repositories, researchers, and institutions in the ecosystem.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

EuroPython Conference

Open Science - Building Models Like We Build Open-Source Software

Explore the concept of developing pre-trained models collaboratively, applying open-source software principles to machine learning for wider participation and continuous improvement.

• YouTube
• 31 minutes
• Self-Paced
• Conference Talk

Complexity Explorer

Open Science Tutorial: Open Data Principles and Practices - Unit 5

Learn to share research data responsibly, balancing FAIR access with consent, anonymization, raw dataset preparation, and platform choice.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Eclipse Foundation

Insights and Lessons from Mapping the Open Source Science Landscape

Discover how mapping open source science ecosystems reveals interconnections, enhances tool discovery, and drives innovation through data-driven insights about projects, patents, funding, and collaboration networks.

• YouTube
• 37 minutes
• Self-Paced
• Free Video