Share your work via the Open Science Framework
Professional skills courses
Number of sessions: 1
Hours per session: 3
- free for PhD candidates of the Graduate School
- consult our enrolment policy for more information
- Enrolment-related questions: firstname.lastname@example.org
- Course-related questions: email@example.com
Telephone: +31 (0)10 4082607 (Graduate School)
In the academic year 2022-2023 this course will take place both online and offline. Location: T19-01.
Edition 1 (online)
October 12 2022
Edition 2 (offline)
April 13 2023
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. 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.
About the instructor
Dr. Antonio Schettino has a background in experimental psychology and cognitive and affective electrophysiology. He has experience in transparent and open science practices at every stage of the research cycle: preregistration of the initial idea; public sharing of data, materials, and analysis protocols; preprints; and publication in peer-reviewed open access journals.
As Senior Advisor Open Science at Erasmus Research Services, his tasks include: developing educational and training materials for students, researchers, and support staff; advising researchers, research teams, and grant officers on how to best highlight commitment to open science in grant applications; advising management and policy makers on current and future (inter)national trends related to evaluation procedures at the individual and institutional level.