AI4SD Video: SciData: Semantic representation of scientific data and applications in chemistry

Chalk, Stuart J. (2022) AI4SD Video: SciData: Semantic representation of scientific data and applications in chemistry. Kanza, Samantha (ed.) (doi:10.5258/SOTON/AI3SD0237).

Record type: Conference or Workshop Item (Other)

Abstract

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 (https://stuchalk.github.io/scidata/) is a specification for constructing JavaScript Object Notation for Linked Data (JSON-LD) that are semantically encoded, giving meaning to research data and its contextual metadata. This talk will cover the basics of how to create SciData JSON-LD using Python, some example data files for different types of data, use of the file format for the basis of a digital research notebook, and digital chemical twins.

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Published date: 1 November 2022

Additional Information: Dr. Stuart J. Chalk is a Professor in the Department of Chemistry at the University of North Florida. He received his PhD in chemistry from the University of Massachusetts at Amherst in 1994 and postdoctoral work at Duquesne University, Pittsburgh from 1994-1996. Although trained as an analytical chemist, Dr. Chalk’s research now focuses on the areas of Chemical Informatics and Data Science. In particular, Dr. Chalk has projects focused on machine accessibility of solubility data, online enhancement to the IUPAC Gold Book, automated extraction and annotation of chemical property data from PDF files, and scientific data models.

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