Abstract: The overarching scope of this Working Group (WG) is to address processes, workflows, and solutions that currently exist—mostly as bilateral agreements—between individual parties within the data publication landscape, and investigate how these can be lifted to one-for-all services that increase interoperability, decrease systemic inefficiencies, and power new tools and functionalities to the benefit of researchers.
As a primary point of focus, the WG will address the problem of limited interoperability between data repositories, scholarly journal publication platforms, and tools for bibliometric analysis. Currently, there is no common framework for cross-referencing datasets and published articles, which creates barriers and inefficiencies for the interlinking and contextualization of journal articles and datasets.
To address this issue, the initial focus of this WG is to work towards a one-to-many cross-reference service for datasets and articles published in scientific journals, i.e. a service that at a minimum enables the identification of datasets associated with articles and vice versa. Additional features could include linking at different levels of granularity metadata to describe the nature of the relationship, relevant metadata for individual datasets, and articles.