In a blog post four weeks ago DataCite Executive Director Matt Buys talked about the DataCite strategic priorities for 2020 (Buys, 2020). In this post we want to talk a bit more about the strategic priorities for this year we have regarding services and infrastructure work: a) consolidation of our services and infrastructure, and b) stronger emphasis on member-driven product development.
DOI content negotiation is one of the oldest DataCite services, launched in 2012. Content negotiation makes it easy to fetch DataCite metadata in other metadata formats, for example BibTeX or schema.org , or as formatted citation in one of more than 5,000 citation styles. For example: curl -LH "Accept: application/x-bibtex" https://doi.org/10.5438/0000-0C2G In 2017 we updated the service, both adding new content types (e.g.
The connections between scholarly resources generated by persistent identifiers (PIDs) and associated metadata form a graph: the PID Graph [Fenner & Aryani (2019)]. 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 to and consume the PID Graph [Fenner (2019b)].
Two weeks ago DataCite announced the pre-release version of a GraphQL API [Fenner (2019)]. 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 [Fenner &
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 and the datasets they produced.
We know that software is important in research, and some of us in the scholarly communications community, for example, in FORCE11, have been pushing the concept of software citation as a method to allow software developers and maintainers to get academic credit for their work: software releases are published and assigned DOIs, and software users then cite these releases when they publish research that uses the software.
Three weeks ago we started assigning DOIs to every post on this blog (Fenner, 2016c). The process we implemented uses a new command line utility and integrates well with our the publishing workflow, with (almost) no extra effort compared to how we published blog posts before. Given that DataCite is a DOI registration agency, we obviously are careful about following best practices for assigning DOIs.
On Tuesday the journal PLOS ONE celebrated its 10th anniversary (see blog post by PLOS ONE Editor-in-Chief Jörg Heber and blog post by PLOS ONE Managing Editor Iratxe Puebla and PLOS Advocacy Director Catriona MacCallum). PLOS ONE (and PLOS) have changed scholarly publishing in many ways, from a DataCite perspective probably most importantly via the data policy updated in February 2014 that states that PLOS ONE was not the first journal with a
Eating your own dog food is a slang term to describe that an organization should itself use the products and services it provides. For DataCite this means that we should use DOIs with appropriate metadata and strategies for long-term preservation for the scholarly outputs we produce.
Geoff Bilder from CrossRef likes to show the following slide at scholarly conferences, and then asks the audience what they see: Most of us probably immediately recognize this document as a scholarly article.