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Abstract
Since 2000, most published journal articles are assigned a persistent identifier known as a DOI issued by the Crossref registration agency. This identifier is associated with a metadata record describing key aspects of the article. It has become more common recently to include article citations in this record and most recently to also include reference to published datasets, themselves also assigned a DOI. Until very recently, the Crossref schema describing the properties of the metadata record did not allow the type of the citation to be declared, but a proposal has now been made to augment the schema to allow citations to be identified as relating to datasets. The implications of these evolving changes to scholarly journal articles are here discussed both in the context of the increasing importance of artificial intelligence and machine learning (AI/ML) and of the increasing need for declaring not only how data can be made available for AI/ML but also to be discovered in the first place.
