Data science workshop series

Workshop on FAIR principles


Time Topic
09:00 - 09:15 Welcome with coffee and tea and introduction organizers
09:15 - 09:30 Introduction to FAIR 
09:30 - 10:30

Research Data Management I : Metadata

. globally unique identifiers

. controlled vocabularies

. community (meta)data standards

. digital metadata repositories

10:30 - 10:45 Coffee and tea break
10:45 - 11:30

Hands-on 1:Create your own metadata

FAIR data point

11:30 - 12:30

Lab: Assess the FAIRness of metadata

. FAIR metrics

. FAIR assessment tools

12:30 - 13:30 Lunch
13:30 - 14:30

Research Data Management II: Data

. semantic knowledge representation

. semantic query answering

14:30 - 16:00 Lab: Create and query semantic data
16:00 - 16:30 Discussion
16:30 - 16:45 Wrap-up

Dr. Michel Dumontier is a Distinguished Professor of Data Science at Maastricht University. His research focuses on the development of computational methods for scalable integration and reproducible analysis of FAIR (Findable, Accessible, Interoperable and Reusable) data across scales - from molecules, tissues, organs, individuals, populations to the environment. His group combines semantic web technologies with effective indexing, machine learning and network analysis for drug discovery and personalized medicine. Previously at Stanford University, Dr. Dumontier now leads a new inter-faculty Institute for Data Science at Maastricht University with a focus on accelerating scientific discovery, improving health and well-being, and strengthening communities. He is a Principal Investigator for the NCATS Biomedical Data Translator and a co-Investigator for the NIH Data Commons Pilot. He is a founding member of the FAIR (Findable, Accessible, Interoperable, Re-usable) initiative, and is the scientific director for Bio2RDF, an open source project to generate Linked Data for the Life Sciences. He is the editor-in-chief for the IOS press journal Data Science and an associate editor for the IOS press journal Semantic Web. He is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies as evidenced by awards, keynote talks at international conferences, and collaborations on international projects.