Module Description
Open Science is not just about opening up access to research publications but in fact opening up the entire research workflow including the research data. Crucial questions arise as to how to manage the data and to what extent and when data should be opened. This webinar will examine the reasons for opening up data and explain the difference between Open Data and F(indable) A(accessible) I(interoperable) R(eusable) Data. We will look closely at the degrees of openness and argue that data should be open and FAIR.
Learning Objectives
- Understand the main principles and ethical reasons for making data open/FAIR
- Identify degrees of data openness and how to make your data more open/FAIR
- Apply Open/FAIR Data to your own research and gain more impact for your data
Module Preparation
Each module focuses on a specific aspect of Open Science and consists of an optional short preparatory course by FOSTER and a webinar by a specialist on Open Science. For this module please follow the preparatory FOSTER course on Managing and Sharing Research Data . To access the FOSTER courses you need to first register on the FOSTER website. See this FAQ for any issues with the FOSTER courses.
Module Webinar
Webinar Presentations
Webinar Specialist
Barend Mons is a professor in human genetics at Leiden University Medical Center. He is president of CODATA and leader of the GO FAIR initiative to develop and implement FAIR Data. Barend was chair of the first High-Level Expert Group on the European Open Science Cloud (EOSC) and a senior author of the original position paper on principles for FAIR Data.
Background Literature
- Mons & al (2011) The Value of Data
- European Data Portal (2019) Discovering Open Data
- AIMS (2018) Open Data Toolkit
- Wilkinson & al (2016) FAIR Guiding Principles for Data Management and Stewardship
- Expert Group on FAIR Data (2018) Turning FAIR into Reality
Created by Gareth O'Neill & Ivo Grigorov | Managed by Oleksandr Berezko