Share your work via the Open Science Framework

In the academic year 2022-2023 this course will take place both online and offline. Location: T19-01.

To promote transparency and trustworthiness of research, an increasing number of funding agencies and journals ask researchers to share data, materials, and analysis scripts associated with their publications. Consequently, researchers are turning to comprehensive services that facilitate collaborative workflows with colleagues and evaluators. One of the most popular is the Open Science Framework (OSF), a free online platform developed by the non-profit organization Center for Open Science. The OSF allows researchers to manage, document, and share all the products of their workflow, from the preregistration of the initial idea to the preprint of the final report.

This hands-on workshop is aimed at researchers from all disciplines who wish to learn how to use the OSF for their own work. In the first part of the workshop, we will go through some of the functionalities offered by the OSF, including:

- set up a project
- invite other contributors
- add components
- fill out the wiki
- upload files directly or by connecting other cloud services (recommended by EUR)
- make the project public

In the second part of the workshop, we will focus on preregistration: what it is, what purposes it serves, and how to preregister research projects on the OSF.

For this workshop you will need:
- laptop/desktop computer
- internet connection
- an active OSF account (see registration page)

It is also advised to read the following introduction on preregistration:
- Hardwicke, T. E., & Wagenmakers, E. (2021, April 23). Preregistration: A pragmatic tool to increase transparency, reduce bias, and calibrate confidence in scientific research. https://doi.org/10.31222/osf.io/d7bcu

The course Responsible research data management (RDM) offers a comprehensive overview of legal and privacy issues associated with data sharing, good data management practices, and how to create a data management plan. Attending the course on RDM is not a necessary preparation for the course on OSF, but the RDM course can help attendees decide how to responsibly store data and materials on the OSF platform, and how to increase transparency and reusability while taking into account legal and privacy considerations.