Nordic FAIR data stewardship workshop 2023

THIS EVENT HAS  BEEN CANCELLED DUE TO LOW NR OF PARTICIPANTS. THE EVENT WILL BE POSTPONED DURING AUTUMN/WINTER INSTEAD.

It is with great pleasure and enthusiasm that we announce the first workshop on FAIR data stewardship in the Nordics, hosted by NeIC. The full event runs over 4 days, the two first of which is a course on advanced data stewardship skills (data modelling and FAIR ontologies). The second half is in the format of a workshop where participants are invited to share their experiences working as data stewards, data curators or other data management professionals. This is intended for individuals who already have taken the intro course which NeIC before or worked as data stewards and wish to develop and refine their skills in working with FAIR data management. During the workshop (June 8-9) we open the floor for participants to share their experiences working as FAIR data stewards, common challenges and lessons learned. Later we run through a short recap some of the skills and competencies from the FAIR data stewardship course in preparation for a FAIRification planning and execution on a specific use-case. The hope is to engage participants and to learn from each others experiences and lessons learned.

The programme is as follows:

Venue:

Ole-Johan Dahls hus, Auditorium Smalltalk (GA061416)

University of Oslo, Gaustadalleén 23B

Map

Lunch and snacks / drink during breaks are included.

THIS EVENT HAS  BEEN CANCELLED DUE TO LOW NR OF PARTICIPANTS. THE EVENT WILL BE POSTPONED DURING AUTUMN/WINTER INSTEAD.

Participants need to arrange their own accommodation. 

It is recommended that you only reserve accommodation (with the option of cancelling) until the event is confirmed on May 15 or before.

For those that are interested in participating, but have little or no experience in data stewardship from before, an introductory (3 day) course is offered online during the weeks before the workshop.

Advanced course - FAIR ontologies engineering

For data resources to be FAIR, they must be sufficiently and appropriately described and structured with FAIR metadata resources, in particular, with FAIR ontologies. Ontologies play a key role in data interoperability but, for that, they must themselves be designed for interoperability. The main objective of this course is to introduce practitioners to the theory and practice of Ontology Engineering in general, and the engineering of FAIR ontologies, in particular. In recent years, there has been a growing interest in the development and use of these truly interoperable ontologies in areas such as, for example, Finances, Robotics, Cybersecurity, Industry 4.0, IoT, Digital Twins. However, as we demonstrate in this course, an approach for ontology construction uniquely based on logical languages (e.g., OWL, RDFS) is insufficient to address a number of semantic interoperability problems that arise in open and dynamic scenarios. We then show that these languages should be complemented by a language and methodology based on a Foundational Ontology, i.e., a domain-independent common- sense theory constructed by aggregating suitable contributions from areas such as philosophical ontology and logics, cognitive science and linguistics. In this course, we give an introduction to such a theoretically well-founded ontology representation language, namely, OntoUML. Moreover, we present a number of advanced modelling techniques, such as ontology design patterns, anti-patterns, and methodological guidelines, based on the foundations of this language, and show how they can be used to solve some classical and recurrent modelling problems that (re)appear in concrete application scenarios. Finally, we show how OntoUML ontologies can be properly translated to OWL using the gUFO framework.

June 6

• 0900-1030: Ontologies, Semantic Interoperability and the “I” of FAIR (1:30)
• 1045-1230: A Brief Introduction to Conceptual Modeling (1:45)
• 1230-1315 LUNCH
• 1315-1500: Types and Taxonomic Structures (1:45)
• 15:15-17:00: Model Refactoring and Model Quality, Practical exercises (1:45)

June 7

• 0900-1045: Dependent Types and Complex Relations (1:45)
• 1100-1245: Events, Higher-Order Types, Practical exercises (1:45)
• 1245-1345 LUNCH
• 1345-1515: Model Validation, Ontology Patterns and Anti-Patterns (1:30)
• 1530-1700: Ontology Implementation using gUFO (1:30)

WORKSHOP

Plenary discussion

We start this workshop with an open discussion on experiences and challenges perceived among the participants related to data stewardship in real-world situations. What is missing in terms of skills and tools? 

June 8

• 0900 - 1200 Plenary session
• 1200 - 1300 LUNCH & mingling

FAIRification; planning & execution

The methodology first identifies the goals for the FAIRification, then which principles can be used to satisfy the goals, then define which actions will be taken to realise the involved principles. A pre-defined use case is used to illustrate the process of FAIRification, including planning  the concrete actions, expected FAIRness level to be achieved etc.

June 8

• 1300-1430: Recap FAIR principles and FAIRification process (1h30)
• 1500-1700: Practical recap on Linked Data & Semantic Web (1h30)

June 9

• 0900-1030: Introduction to the FAIRification methodology (1h30)
• 1045-1215: FAIRification planning: objectives elicitation (practical/interactive) (1h30)
• 1300-1430: FAIRification planning: identification of involved principles and concrete actions (practical/interactive) (1h30)
• 1445-1600: FAIRification planning: practicing the concrete actions (practical/interactive) and discussion of the next steps (1h30)

THIS EVENT HAS  BEEN CANCELLED DUE TO LOW NR OF PARTICIPANTS. THE EVENT WILL BE POSTPONED DURING AUTUMN/WINTER INSTEAD.

NOTE: The organiser reserves the right to cancel the event at the latest by May 15, 2023 if registrations have not exceeded 20 participants for the workshop and 10 particpants for the advanced course. In such case registrants will be refunded the registration fee to the same payment card they used when registrering (or to provided account if payed by invoice). If the participant wishes to cancel their participation, a refund will be requested from the platform minus the administration fee (3%), which is non-refundable in case of cancellation by the participant.