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

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

The Trainers

Trainer-Albert-Phortos

Albert Mons, Msc


Albert is one of the founding partners of Phortos Consultants, a consultancy practice to academic institutions and private companies specializing in FAIR data and services solutions. All necessary expertise to develop scientific discoveries into sustainable value propositions and ventures is part of the company’s offering. Over the years Albert and his partners have founded and cofounded several start-ups in the field of bio-informatics & semantics, data integration and support, network solutions and big data solutions, most recently Euretos (2012).

Phortos Consultants was also instrumental in developing the FAIR approach to Big Data in the Life Sciences. FAIR data stands for data that are Findable, Accessible, Interoperable and Reusable. Recently, Albert has been appointed International Project Consultant GO FAIR running the global Business Development and coordinating the partners in the technical Implementation process. In addition he was a member of the writing team for the EOSC Implementation plan “GO FAIR”.



Trainer-Erik-Phortos

Erik Schultes, PhD


Erik Schultes is an evolutionary biologist with a long standing interest in data-intensive research questions. Erik has been affiliated with the University of California, Los Angeles; The Whitehead Institute for Biomedical Research (MIT); The Santa Fe Institute; Duke University Medical Centre and Department of Computer Science. Erik currently holds a visiting researcher appointment in the Human Genetics Department, Leiden University Medical Center, and is International Science Coordinator at the GO FAIR International Support and Coordination Office (GFISCO). In recent years, Erik has been working with a diverse community of stakeholders to develop FAIR data and services within and outside the life sciences.



Trainer-Luiz-Phortos

Luiz Olavo Bonino, PhD


Luiz Olavo Bonino is the International Technology Coordinator of the GO FAIR International Support and Coordination Office and Associate Professor of the BioSemantics group at the Leiden University Medical Centre in Leiden, the Netherlands. His background is in ontology-driven conceptual modeling, semantic interoperability, service-oriented computing, requirements engineering and context-aware computing. In the last 4 years Luiz has led the development of a number of technologies and tools to support making, publishing, indexing, searching and annotating FAIR (meta)data.




Trainer-Mark-Phortos

Mark Wilkinson, PhD


Mark D Wilkinson, Fundacion BBVA Chair in Biotechnology, Isaac Peral Distinguished Researcher, Center for Plant Biotechnology and Genomics, Technical University of Madrid. For the past 15 years, Mark’s laboratory has focused on designing biomedical data/tool representation, discovery, and automated reuse infrastructures - what would now be called "FAIR". Mark is co-author of the primary FAIR Data Principles paper, and lead author on the first paper describing a complete implementation of those principles over legacy data. He is a founding member of the FAIR Metrics working group, tasked with defining the precise, measurable behaviors that FAIR resources should exhibit. Mark’s laboratory's flagship technologies are Semantic Automated Discovery and Integration (SADI) and Semantic Health and Research Environment (SHARE). SADI enables FAIR discoverability for analytical algorithms in biomedicine, where the algorithms natively consume FAIR data; as such, SADI design practices are perfectly suited for deployment on the emergent Web of FAIR Data and Services. SHARE supports automated query resolution over globally distributed resources through intelligent matchmaking between data and required services, and automated workflow orchestration. SHARE won a "best demonstration" award in 2010 for supporting the construction and resolution of natural language queries in a variety of languages. Beyond data integration, we have extensive machine-learning experience over a diverse range of data types, from semantically enriched fragments of analytical biomedical workflows, to longitudinal microbiome data, and were the first to identify shifting “states” in microbiomes that could be attributed to specific interventions, opening-up a new approach to microbiome engineering.



Trainer-Giancarlo-Phortos

Giancarlo Guizzardi, PhD


The core of Gian’s research has been an interdisciplinary approach to the foundations of Software Systems Engineering (including Information Systems). In his research program, over the years, he has been employing results from formal ontology, logics, cognitive science and linguistics to address a number of problems in Software Systems Engineering, in particular, in the areas of Conceptual Modeling, Software Language Engineering, Domain Engineering and Software Reuse (including the area of Design Patterns and Pattern Languages), Requirements Engineering, Information Systems Engineering, Formal Methods and Enterprise Computing.

Gian has a PhD degree (with the highest distinction) from the University of Twente, in The Netherlands and is currently a Senior Associate Professor of Computer Science at the Federal University of Espírito Santo (UFES) in Brazil where he coordinates the Ontology and Conceptual Modeling Research Group (NEMO), a group with circa 50 members (including permanent members and students). In this group Gian has directed an Excellence Center on the area of Semantic Interoperability in Government. He is also an Associate Researcher at the Laboratory for Applied Ontology (LOA), Institute for Cognitive Science and Technology (ISTC), Italian National Research Council (CNR), in Trento, Italy.

Gian has authored more than 160 scientific publications, including the book monograph entitled “Ontological Foundations for Structural Conceptual Models”. These publications can be found here, also at DBLP and Google Scholar Page.



Trainer-Arie-Phortos

Arie Baak, MscBA, LLM


Arie Baak is one of the co-founders of Euretos, an AI platform used by pre-clinical researchers for in-silico identification & validation of targets and biomarkers. For the first two decades of his career, Arie has worked in various customer facing roles in the mobile telecoms and internet infrastructure markets. In these high performance/high volume markets he has been providing analytics solutions to end users long before the term ‘big data’ became fashionable. Since 2010 Arie has been applying his expertise to the life sciences where he has worked with some of the world’s leading pharma, biotech and academic institutions.