FAIRSpec-Ready Spectroscopic Data Collections – Advice for Researchers, Authors, and Data Managers (IUPAC Technical Report)

In this Technical Report we introduce the application of FAIR (findable, accessible, interoperable, and reusable) data management in the form of a “FAIRSpec-ready spectroscopic data collection” – that is, a collection of instrument data, chemical structure representations, and related digital items that is ready to be automatically or semiautomatically extracted for metadata that will allow the production of an IUPAC FAIRSpec Finding Aid. Associating this finding aid with the collection produces an IUPAC FAIRSpec Data Collection. The challenge we set for researchers is relatively simple: to maintain their data in a form that allows critical metadata to be extracted in a discipline-specific way, increasing the probability that the data will be findable and reusable both during the research process and after publication. We focus on a few specific suggestions that researchers can use to maximize the “fairness” of their spectroscopic data collection. Most importantly, following these guidelines ensures that instrument datasets are unambiguously associated with chemical structure. The guidelines promote the inclusion of the instrument dataset itself in the collection and describe ways of organizing the collection such that automated metadata creation is possible. In these guidelines we emphasize the importance of systematically organizing data throughout the entire research process, not just at the time of publication.

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Publication Details

Journal
ChemRxiv
Published
2025-09-01
DOI
https://doi.org/10.26434/chemrxiv-2025-vqhnd-v3
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

FAIRSpec-Ready Spectroscopic Data Collections – Advice for Researchers, Authors, and Data Managers (IUPAC Technical Report)

Robert J. Lancashire, Stefan Kühn, Ian Bruno, Antony N. Davies et al.
ChemRxiv
Geochemistry and Geologic Mapping
article

FAIRSpec-Ready Spectroscopic Data Collections – Advice for Researchers, Authors, and Data Managers (IUPAC Technical Report)

Robert J. Lancashire, Stefan Kühn, Ian Bruno, Antony N. Davies, Robert M. Hanson, Mark Archibald, Stuart Chalk, Henry S. Rzepa
article en

Abstract

In this Technical Report we introduce the application of FAIR (findable, accessible, interoperable, and reusable) data management in the form of a “FAIRSpec-ready spectroscopic data collection” – that is, a collection of instrument data, chemical structure representations, and related digital items that is ready to be automatically or semiautomatically extracted for metadata that will allow the production of an IUPAC FAIRSpec Finding Aid. Associating this finding aid with the collection produces an IUPAC FAIRSpec Data Collection. The challenge we set for researchers is relatively simple: to maintain their data in a form that allows critical metadata to be extracted in a discipline-specific way, increasing the probability that the data will be findable and reusable both during the research process and after publication. We focus on a few specific suggestions that researchers can use to maximize the “fairness” of their spectroscopic data collection. Most importantly, following these guidelines ensures that instrument datasets are unambiguously associated with chemical structure. The guidelines promote the inclusion of the instrument dataset itself in the collection and describe ways of organizing the collection such that automated metadata creation is possible. In these guidelines we emphasize the importance of systematically organizing data throughout the entire research process, not just at the time of publication.

ChemRxiv
University of North Florida (US), University of South Wales (GB), University of the West (US), St. Olaf College (US), Royal Society of Chemistry (GB), Cambridge Crystallographic Data Centre (GB), Imperial College London (GB), University of Tartu (EE)
Openalex Percentile: Top 88%
Geochemistry and Geologic Mapping
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