Effective scholarly research depends on the collection and linking of accurate data about varied components and outputs. Persistent identifiers (PIDs) - such as ORCID identifiers, DOIs or accession numbers - offer a solution to the problem of pinpointing and linking specific resources. This makes it possible to foster reproducibility, for example by ensuring that publications contain links to specific reagents and to the data generated. PIDs also mean that we can more easily gather data about the impact of funding or the use of facilities, and can serve the research community in many other ways.
These user stories are at the heart of the FREYA project, a three-year project funded by the European Commission, which is also part of the European Open Science Cloud (EOSC). In the EOSC, FREYA and other projects are collaborating in order to build on PID infrastructure, assess emerging identifier types, and foster their development and adoption.
In this session, Martin Fenner (DataCite) and I will introduce the concept of the "PID Graph" and some of the emerging PIDs. We will demonstrate how it is possible to connect scholarly entities associated with those new PIDs to other things using the PID Graph, combining practical examples with a discussion about what might be possible with a PID Graph.
