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IEA Wind Task 43 Metadata Challenge webinar series #8 "SciData: Semantic Representation Scientific Data"

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As part of the IEA Wind Task 43 Metadata Challenge, we run a series of public webinars that aim to improve collaboration between Knowledge Engineering experts and domain experts in the area of wind energy. This time, we are joined by Dr. Stuart J. Chalk, Professor of Chemical Informatics, who will present SciData framework: a specification for describing scientific data within FAIR paradigm.

Findable, Accessible, Interoperable and Reusable (FAIR) is a paradigm shift in how we should make our research data available and useful for other scientists.  The SciData framework is a specification for constructing JavaScript Object Notation for Linked Data (JSON-LD) files that are semantically encoded, giving meaning to research data and its contextual metadata.  JSON-LD files are optimal for SciData as they are an excellent archive format (UTF-8 text), can be easily generated or read by all scripting languages, can be validated with a schema, and are inherently an encoding of the resource description framework (RDF), the W3C’s semantic language.

The research in the Chalk Group is focused on leveraging the SciData framework for representing chemical data but can be used to represent any data with additional contextual metadata that describes how the research was done (methodology) and what the is being studied (system).  We have created SciData JSON-LD files to store physical property data, spectral data, biological activity data, and computational chemistry data.  In addition, our group is using SciData to represent digital twins of chemical substances.  We also believe that SciData JSON-LD can be the underlying format for a digital research notebook.

This presentation will provide an overview of SciData and the SciData Ontology, describe how files can be generated using Python, and show how JSON-LD files can be converted into RDF triples and ingested into a triple store.  An example SciData JSON-LD file containing wind data will be used as a demonstration.


PROGRAMME (TIMES IN CET)

15:00-15:10 Introduction (Sarah Barber)

15:10-15:30 Key-note talk “SciData: Semantic Representation Scientific Data“

Dr. Stuart J. Chalk

15:30-15:50 Questions and discussion

15:50-16:00 Summary of discussion and closing (Sarah Barber)


KEY-NOTE SPEAKER:

Dr. Stuart J. Chalk,

Professor of Chemical Informatics

Dr. Stuart J. Chalk is a Professor of Chemical Informatics in the Department of Chemistry and Biochemistry at the University of North Florida. Although trained as an analytical chemist, Dr. Chalk’s research now focuses on the areas of Chemical Informatics and Chemical Data Science and his current projects focus on machine accessibility of solubility data, the IUPAC Gold Book, knowledge representation in chemistry, automated extraction and annotation of chemical property data, digital metrology and scientific data models.