Infrastructures for reproducible research

Several projects have developed solutions to support the release of executable analyses alongside articles. We reviewed 11 applications and compared them across 19 criteria: Eight allow publishers to self-host the system for free, three provide paid services; Authors can submit an executable analysis using Jupyter Notebooks or R Markdown documents (10 applications support these formats); All approaches provide features to assist readers in studying the materials, e.g., one-click reproducible results. For more details, check the paper and the table for a comprehensive overview.

Open Science Framework

The Open Science Framework is an open source project for publishing research materials, e.g., data and code. It is also a popular tool for publishing preprints and used, for example, by EarthArXiv. Another application area is the preregistration of scientific studies. Besides, users can generate an anonymous version of the materials to make them accessible for referees during the peer review process. This is particularly important to ensure anonymity and transparency in a double-blind review process (contrary to open peer review).

Choose a license

Choose a license can help users to find the right license for their articles, data, and software, or mixed projects. Each license is explained in detail, considering permission, conditions, and limitations.