Share your work via the Open Science Framework

Professional skills courses

Course information

ECTS: 0,5
Number of sessions: 1
Hours per session: 3
Course fee: 

  • free for PhD candidates of the Graduate School
  • € 230,- for non-members
  • consult our enrolment policy for more information


Telephone: +31 (0)10 4082607 (Graduate School)

In the academic year 2023-2024 this course will take place online and offline.

Edition 1 (online)

Session 1
October 31 (Tuesday) 2023
Online (Teams)

Edition 2 (offline)

Session 1
April 9 (Tuesday) 2024
Langeveld building (campus map), room 4.04


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.

Aims and working method

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.

Materials and preparation

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.

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.

About the instructor

John Mills:

My training lies at the intersection between Social, Cognitive and Developmental Psychology and I have primarily applied this training to the fields of Sport and Education. As a researcher, I am interested in values, virtues, norms, practices, identities, and the psychosocial mechanisms that combine to regulate behaviour. My published research has focused on the impact of leadership and coaching behaviour; coach and athlete welfare (including anti-doping); and social, emotional, and character development.

Since 2016, I have also been working at the forefront of encouraging the adoption of open science practices and norms in the field of Sport and Exercise Science/Kinesiology/Movement Sciences. I founded SportRχiv in 2016, and more recently the Society for Transparency, Openness, and Replication in Kinesiology (STORK) in 2018. SportRxiv has now made over 500 manuscripts openly accessible to all and STORK has over 200 members worldwide.

In my new role as Open Science Advisor at EUR, I hope to become active in this community, to learn and share good practice from and with you all, and encourage the adoption of open and responsible science principles and practices even further within the institution.