Open Science Framework

Analyzing Education Data with Open Science Best Practices, R, and OSF

This workshop demonstrates how using R can advance open science practices in education. We focus on R and RStudio because it is an increasingly widely-used programming language and software environment for data analysis with a large supportive …

Leveraging Open Ecosystems to Enhance Reproducible Workflows

Open source infrastructure has paved the way for mission-aligned research stakeholders to create a united vision of interoperable tools and services that accelerate scholarly communication, fill technology gaps, converge solutions, and enable access …

OSF Collections: supporting research discoverability and reuse

The OSF Collections repository platform supports the discoverability and reuse of research by enabling the aggregation of related projects across OSF. With OSF Collections, any funder, journal, society, or research community can show their commitment …

Reproducibility Immersive Course

Various fields in the natural and social sciences face a ‘crisis of confidence’. Broadly, this crisis amounts to a pervasiveness of non-reproducible results in the published literature. For example, in the field of biomedicine, Amgen published …

The Open Research Lifecycle

Open science reduces waste and accelerates the discovery of knowledge, solutions, and cures for the world's most pressing needs. Shifting research culture toward greater openness, transparency, and reproducibility is challenging, but there are …