As the promise of Findable, Accessible, Interoperable and Reuseable (FAIR) data drives data science, the need for Globally Unique Persistent Resource Identifiers (GUPRIs) on all 'things' that are part of the scientific enterprise is imperative. Given GUPRIs for every type of thing, we can then assign to them labels in different languages, from different domains, and at different levels of education, and subsequently start connecting the things together.<br/><br/>For the chemical sciences, there are a number of important 'things' that we need to identify on the landscape of FAIR data, tools, and services. A fundamental part of this 'Internet of FAIR data and services' is assignment of a GUPRI for each distinct chemical substance, wether it be an element, ion, compound, complex, or other type of matter.<br/><br/>This talk will discuss the evaulation of exisiting identifiers for chemical substances relative to the criteria for a GUPRI, the subsequent conclusions drawn from the analysis, and the a nominal recommendation for a GUPRI for chemical susbstances.

Toward a globally unique persistent resource identifier for chemical substances

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.