Training the next generation of enablers of the Internet of FAIR Data & Services

Training for FAIR Data Program Managers, Data Stewards, Operators and Engineers

FAIR ontology & Data modeling training

Overview - This course provides a solid introduction to the subjects related to semantics in FAIR. It starts with the basics of ontology-driven conceptual modeling providing the foundational knowledge for creating good conceptual models/ontologies. Once the ontologies are created and validated using a foundational ontology language the participants will learn how to make them computer-actionable using Semantic Web technologies such as OWL/RDF. Then the participants will learn how to semantically enrich and make data linkable by applying the ontologies to data. In addition, defining validation rules for the datasets are taught allowing for the data to be validated against both the syntax and semantics. Lastly the course will introduce the FAIR metadata approach so the FAIR/RDF data will be well described with their metadata.

  • Introduction to FAIR Data and GO FAIR
  • Introduction to ontology-driven conceptual modeling
  • Types and taxonomic structures
  • modeling Relationships and Events
  • Data modeling Hands-On
  • Introduction to Semantic Web and Linked Data
  • Using Semantic Web and Linked Data
  • Linkable Metadata modeling - Hands-On
  • FAIR Data Points

Who should attend -This course is aimed at data scientists in interdisciplinary teams within large organisations who are dealing with an ever growing complexity of data integration. Currently data technicians/ICTers spend between 70 and 80 percent of their time on data wrangling such as, dealing with format issues, identifiers, ontologies, etc. massaging the data so that it is ready for big data analysis. For larger organisations choosing to GO FAIR, Integration and re-use of datasets becomes less labor intensive, leaving more time to dive into more complex data analysis. However, the FAIR data approach requires tight collaboration between domain experts, computer scientists and FAIR data experts.

This course is intended for professionals involved in data intensive organisations or consultants working in the field of change management or big-data trajectories such as data-intensive domain experts, ICT specialists / programmers, statisticians, data scientists, data modelers, data Architects, systems architects, IT executives, project managers, A.I. specialists, database architects.

Duration - 5 day course starting at 10:00 on day 1 to accommodate traveling attendees. The morning of the first day covers the main topics that are discussed in the FAIR Awareness training. Attending the morning session on the first day is therefore not mandatory for attendees that have already followed the FAIR awareness training. The sessions contain regular breaks for coffee and networking.

Detailed Course Schedule


09:00-10:00 - Registration & Coffee

10:00-12:30 - Introduction to FAIR Data and GO FAIR

  • Introduction and purpose of course
  • The need for FAIR data
  • GO FAIR: an introduction
  • The internet of FAIR Data and Services
  • FAIR Data Stewardship
  • Practicing FAIR Data


13:30-17:00 - Introduction to ontology-driven conceptual modeling

  • The relation between Conceptualization, Language, (Meta)Models and Ontology
  • The criteria for an Ontologically Well-Founded Conceptual Modeling Language


09:00-12:30 - Types and taxonomic structures

  • Object Type Categories
  • Taxonomic Structures
  • Philosophical categories of Object Types
  • Psychological categories of Object Types


13:30-17:00 - Types and taxonomic structures (Continued)

  • Object Type Categories - part 2
  • Taxonomic Structures - part 2
  • Ontology Patterns for Modeling of Taxonomic Structures


09:00-12:30 - modeling Relationships and Events

  • Ontological Analysis and Modeling of Relations
  • A Typology of Relations
  • Relationship Reification and Truthmaking Patterns
  • An Ontology of Events with Applications


13:30-17:00 - Data modeling Hands On

  • Modeling session
  • Validation and Anti-Pattern Detection
  • Aspects of mapping to implementation environments
  • Wrap up of ontology-driven conceptual modeling


09:00-12:30 - Introduction to Semantic Web and Linked Data

  • Introduction to the Semantic Web
  • Introduction to Linked Data


13:30-17:00 - Using Semantic Web and Linked Data

  • Practical data modeling and data manipulation using the Semantic Web
  • Relating linked data using ontologies


09:00-12:30 - Linkable Metadata modeling - Hands-On

  • Defining required metadata elements
  • Select existing vocabularies for the concepts of the metadata content
  • Create metadata records based on the defined templates


13:30-16:00 - FAIR Data Points

  • FAIR Data Point (FDPs) and metadata layers
  • Deploying a FAIR Data Point
  • Populate FDPs with metadata
  • Link FDP metadata to primary data

16:00-16:30 - Close

Contact Us

Contact us for more details or upcoming events. Private training sessions can be arranged for groups of 10 or more attendees.

Main Venue
Rijnsburgerweg 10
2333 AA Leiden
The Netherlands

Other European and US venues are also available.

Events to be announced: