Open Science Framework: A hands-on tutorial

Professional skills courses

Course information

ECTS: 0.5
Number of sessions: 1
Hours per session: 2
Course fee:

  • free for PhD candidates of the Graduate School
  • consult our enrolment policy for more information


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

In the academic year 2021-2022 this course will take place online.

Edition 1

September 28 (Tuesday) 2021

Edition 2

April 12 (Tuesday) 2022


To promote transparency and trustworthiness of research, an increasing number of funding agencies and journals encourage or require data, materials, and analysis scripts associated with each publication. 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. We will go through some of the functionalities offered by this service, 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

Materials and preparation

For this workshop you will need:

  • laptop/desktop computer
  • internet connection
  • an active OSF account (see registration page)

The course Responsible research data management (RDM) offers a wonderful overview of legal and privacy issues associated with data sharing, good data management practices, and practical advice on how to create a data management plan. It is not necessary to understand the basic functionalities of the OSF, but it can help attendees decide what and how to responsibly store data and materials on this platform, to increase transparency and reusability and simultaneously take 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.