Stuart Chalk | Professor
University of North Florida

Stuart Chalk, Professor, University of North Florida

Dr. Stuart 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 currently focuses on the areas of Chemical Informatics and Chemical Data Science. His current projects deal with the machine accessibility of chemical data, the IUPAC Gold Book, knowledge representation in chemistry, automated extraction and annotation of chemical property data, digital metrology, and scientific data models. Dr. Chalk developed the SciData framework format (to be used in this project) as a semantic representation of scientific data, organizing both metadata and data in a single JSON-LD file.  Metadata is reported in two sections, methodology and system (under study) and experimental/modeled data is reported in the dataset section.  Importantly, both sections of metadata are open for any structure of metadata, as dictated by the research process, however metadata can be standardized by the development of discipline-based metadata standards, and if necessary enforced/validated through creation and application of JSON schema. Dr. Chalk has expertise in the Extensible Markup Language (XML) and the related specifications XSLT/XPATH/XQuery, the Resource Description Framework (RDF) and the related SPARQL and SHACL specifications, JSON/JSON-LD, PHP and Python scripting, JavaScript/jQuery, MySQL, Bootstrap CSS, REST interfaces, API design and construction, schema design, and vocabulary/ontology development.

Appearances:



Day 1: 15th October @ 11:40

KnowLedger: An open digital notebook for research data management

Day 1: 15th October @ 13:40

Panel: Enhancing lab connectivity for seamless, data-driven operations

  • What are the key components of a well-connected, data-driven lab ecosystem?
  • How can labs overcome silos between instruments, systems, and teams?
  • What technologies are most effective for achieving real-time data integration?
  • What security and compliance challenges come with increased lab connectivity?
  • How can labs future-proof their data infrastructure for scalability and flexibility?
last published: 12/Sep/25 17:45 GMT

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