On March 01, 2023, the project “PID Network Deutschland – Network for fostering persistent identifiers in science and culture”, funded by the German Research Foundation (DFG) and scheduled to run for 36 months, will start. Partner institutions of PID Network Germany are DataCite, the German National Library, the Helmholtz Open Science Office, the Bielefeld University Library, and the German National Library of Science and Technology (TIB).
PID graph
DataCite Commons at your service
DataCite and the FREYA project partners are proud to announce the official launch of DataCite Commons today. DataCite Commons is the web interface to explore the PID Graph, formed by the publications, datasets, research software, and other research outputs generated by researchers working at research institutions and supported by grant funding [@ttps://doi.org/10.5438/jwvf-8a66]. The PID Graph […]
DataCite Commons – Exploiting the Power of PIDs and the PID Graph
Today DataCite is proud to announce the launch of DataCite Commons, available at https://commons.datacite.org. DataCite Commons is a discovery service that enables simple searches while giving users a comprehensive overview of connections between entities in the research landscape. This means that DataCite members registering DOIs with us will have easier access to information about the […]
Introducing the PID Services Registry
We are pleased to announce the launch of the new persistent identifier (PID) services registry available at https://pidservices.org, a new service to find services built upon different PIDs from core technology providers and those who integrate from across a variety of disciplinary areas. This is a combined effort across multiple organizations as part of the […]
Powering the PID Graph: announcing the DataCite GraphQL API
Today DataCite launches a new API that powers the PID Graph, the graph formed by scholarly resources described by persistent identifiers (PIDs) and the connections between them. The API is powered by GraphQL, a widely adopted Open Source technology that enables queries of this graph, addressing use cases of our community in ways that were […]
Tracking the Growth of the PID Graph
The connections between scholarly resources generated by persistent identifiers (PIDs) and associated metadata form a graph: the PID Graph [@https://doi.org/10.5438/jwvf-8a66]. We developed this PID Graph concept in the EC-funded FREYA project, and have identified important use cases and technical requirements. In May, DataCite introduced a GraphQL API to standardize and simplify how users can contribute […]
Using Jupyter Notebooks with GraphQL and the PID Graph
Two weeks ago DataCite announced the pre-release version of a GraphQL API [@https://doi.org/10.5438/qab1-n315]. GraphQL simplifies complex queries that for example want to retrieve information about the authors, funding and data citations for a dataset with a DataCite DOI. These connections together form the PID Graph [@https://doi.org/10.5438/jwvf-8a66], and DataCite is working with the other partners in […]
The DataCite GraphQL API is now open for (pre-release) business
DataCite DOIs describe resources such as datasets, samples, software and publications with rich metadata. An important part of this metadata is the description of connections between resources that use persistent identifiers (PIDs) provided by DataCite and others (Crossref, ORCID, ROR, ISNI, IGSN, etc.). Together these resources and their connections form a graph, the PID Graph […]
Introducing the PID Graph
This post has been cross-posted from the FREYA blog. Persistent identifiers (PIDs) are not only important to uniquely identify a publication, dataset, or person, but the metadata for these persistent identifiers can provide unambiguous linking between persistent identifiers of the same type, e.g. journal articles citing other journal articles, or of different types, e.g. linking a researcher […]