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).
Wellcome Trust and the Chan Zuckerberg Initiative Partner with DataCite to Build the Open Global Data Citation Corpus
Aggregated references to data across outputs will help the community monitor impact, inform future funding, and improve the dissemination of research Amsterdam – 17 January 2023 – DataCite is pleased to announce that The Wellcome Trust has awarded funds to build the Open Global Data Citation Corpus to dramatically transform the data citation landscape. The […]
Mind the gap – what to expect when practicing FAIR
Implementing FAIR Workflows: A Proof of Concept Study in the Field of Consciousness is a 3-year project funded by the Templeton World Charity Foundation. In this project, DataCite works with a number of partners on providing an exemplar workflow that researchers can use to implement FAIR practices throughout their research lifecycle. In this monthly blog series, the different project participants will share perspectives on FAIR practices and recommendations.
In this post, Xiaoli Chen, project lead at DataCite, reflects on the gap between acknowledging FAIR and practicing FAIR.
Investigating PIDs for organizations – ORCID DE 2 project successfully completed
As an open infrastructure that is embedded in its community, DataCite is involved in various projects to promote our vision of connecting research and identifying knowledge through persistent identifiers (PIDs). Within the German ORCID DE 2 project, DataCite led the work package on organization identifiers – including ROR. This guest blog post by Antonia Schrader is a crosspost from the ORCID DE blog outlining the achievements of the ORCID DE 2 project.
Towards richer metadata – perspectives from three DataCite projects
Metadata is at the heart of DOIs and open scholarly infrastructure. At DataCite, our metadata schema defines what metadata properties can be included through DOI registration. The schema currently includes just six required properties—identifier (the DOI), creator, title, publication year, publisher, and resource type—along with 14 recommended and optional properties.
On the one hand, requiring only six metadata properties keeps the schema flexible and makes it easy to get started with DOI registration. At the same time, we want to encourage all DataCite Metadata Schema users to go beyond the mandatory properties and to share rich metadata that includes all available information about a given resource. This is especially important for metadata properties that are essential for discoverability—such as description and subject—and building connections between PIDs—including identifiers for related resources, people, and organizations. Keeping metadata up-to-date is also critical to ensure that the “persistent” part of persistent identifiers lives up to its full potential.
FAIR is everywhere
In this second blog post, Helena Cousijn, Director of Community Engagement at DataCite, shares what makes the FAIR workflows project different.
It takes a village to communicate the value of PIDs
I joined DataCite to contribute to the FAIR-IMPACT project (and FAIRCORE4EOSC but that’s a topic for another blog). Today I’m happy to share with you some of our plans and progress made so far.
The pitfalls of traditional workflows – with a silver lining
Implementing FAIR Workflows: A Proof of Concept Study in the Field of Consciousness is a 3-year project funded by the Templeton World Charity Foundation. In this project, DataCite works with a number of partners on providing an exemplar workflow that can be used by researchers to implement FAIR practices throughout their research lifecycle. In this monthly blog series, the different project participants will share perspectives on FAIR practices and recommendations.
In this first blog post, we hear from Zefan Zheng, who is doing his PhD at the Max Planck Institute for Empirical Aesthetics and responsible for the neuroscience experiments in the project.