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Effective scholarly research depends on collecting and linking accurate data about the varied components and outputs. Persistent identifiers (PIDs) such as ORCID IDs, DOIs, or accession numbers offer a solution to pinpoint specific resources and link them. This makes it possible to foster reproducibility eg by ensuring publications contain links to specific reagents and data generated; it means we can gather data about impact of funding, and facility use, and can serve many other use cases in the research community. These user stories are at the heart of the FREYA project, a 3 year EC-funded project that is part of the European Open Science Cloud (EOSC), where we and others are collaborating to build on the persistent identifier 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 persistent identifiers. 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 audience discussion about what is possible with a PID Graph and how to get involved.
PIDs, FREYA, Pid Graph, persistent identifiers
PIDs, FREYA, Pid Graph, persistent identifiers
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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