Training for FAIR Data Program Managers, Data Stewards, Operators and Engineers
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.
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.
09:00-10:00 - Registration & Coffee
10:00-12:30 - Introduction to FAIR Data and GO FAIR
13:30-17:00 - Introduction to ontology-driven conceptual modeling
09:00-12:30 - Types and taxonomic structures
13:30-17:00 - Types and taxonomic structures (Continued)
09:00-12:30 - modeling Relationships and Events
13:30-17:00 - Data modeling Hands On
09:00-12:30 - Introduction to Semantic Web and Linked Data
13:30-17:00 - Using Semantic Web and Linked Data
09:00-12:30 - Linkable Metadata modeling - Hands-On
13:30-16:00 - FAIR Data Points
16:00-16:30 - Close
Contact us for more details or upcoming events. Private training sessions can be arranged for groups of 10 or more attendees.
2333 AA Leiden
Other European and US venues are also available.
Events to be announced: