Introduction
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.
Course information
ECTS: 1
Number of sessions: 1
Hours per session: 3
Key Facts & Figures
- Type
- Course
- Instruction language
- English
- Mode of instruction
- Offline, Online
What will you achieve?
- After this workshop, you will know some of the functionalities offered by the OSF, including set up a project, invite other contributors and add components.
- After this workshop, you will also know how to fill out the wiki, how to upload files directly or by connecting other cloud services (recommended by EUR) in OSF.
- And after this workshop you know how to make the project public.
Start dates
Session 1
February 12 (Wednesday) 2025
14.00-16.00 hrs
Mandeville building (campus mapOpens external), room T19-01
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.
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. 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.
Instructor
John MillsMy 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.Email address
Contact
- Enrolment-related questions: enrolment@egsh.eur.nl
- Course-related questions: schettino@eur.nl
Telephone: +31 (0)10 4082607 (Graduate School)
Facts & Figures
- Fee
- free for PhD candidates of the Graduate School
- € 230,- for non-members
- consult our enrolment policy for more information
- Tax
- Not applicable
- Application deadline
- Tuesday 3 Oct 2023
- Offered by
- Erasmus Graduate School of Social Sciences and the Humanities
- Course type
- Course
- Instruction language
- English
- Mode of instruction
- Offline, Online