Semantic Web Applications and Tools for Healthcare and Life Sciences

Tutorial 1: FAIR Data and Data Stewardship

A broad community of stakeholders recently published a set of guiding principles for contemporary scholarly data publishing, with the goal of ensuring that scientific data should be Findable, Accessible, Interoperable, and Reusable (FAIR). These principles have been elaborated to provide specific guidance for the kinds of properties and behaviors data should exhibit that allow them to be discovered and used by both humans and machines. FAIR Data can also be positioned in a broader scope of Data Stewardship, which relates to concerns before, during and after data creation and manipulation. Concerns such as how data will be created, in which context, where are they going to be stored, what are the creation, validation and publication process, what are the medium- and long-term sustainability plans for the data, among others.

This tutorial will be organised in two parts, a lecture-oriented portion followed by a guided, hands-on portion. In the first segment the presenters will tackle issues such as FAIR Data in the context of the European research initiatives, data stewardship, semantic interoperability and FAIR Data Principles. The goal of these introductory seminars is to ensure that participants see the rationale for each of the FAIR Principles, and in particular, understand the value-proposition of achieving the Principles in the context of research initiatives and data stewardship.

Following this descriptive and motivational segment, the second part of the tutorial will go through a process of making data FAIR. There will be select a number of datasets and the participants will be guided through their FAIRification using (if desired) tools and libraries provided by the FAIR Data project. This hands-on coding activity will be guided and coached by the tutorial organizers.


Mark Thompson (LUMC)
Erik Schultes (DTL)
Rajaram Kaliyaperumal (LUMC)
Kees Burger (DTL)
Marco Roos (LUMC)


9:00 – 9:45 (FAIR) Data Stewardship in Europe
FAIR data ecosystem and technologies
9:45 – 10:30

Tutorial/hands-on part 1, split audience:

1) FDP metadata editor
2) OpenRefine FAIRifier
3) FAIR data point
4) FAIR search engine

10.30 -11.00 Coffee/tea break
11.00 -12.00 Tutorial/hands-on part 2 (Mark)
Continuation of part 1 and wrap-up preparation
12:00-12:30 Hands-on feedback / wrap-up discussion