En 2025, lanzamos los Premios Crossref a los Metadatos, con el objetivo de destacar el rol de nuestra comunidad en la gestión y el enriquecimiento del registro académico. En esta publicación, destacamos a la Universidad La Salle, Perú, ganadora del premio a la excelencia entre los nuevos miembros, y contamos con la participación de Yasiel Pérez, Responsable Técnico y Editor de la Revista, quien comparte sus ideas:
This June, we presented at the Beijing International Book Fair (BIBF) and connected directly with our growing community in China. With a surge of interest from Chinese publishers and partners, it was clear: there’s a strong and rising curiosity around how metadata plays a vital role in maintaining the integrity of the scholarly record.
As a new Community Engagement Manager at Crossref, dedicated to working with the funders community, I frequently hear requests for examples and case studies of adopting Crossref’s Grant Linking System (GLS) by ‘funders like us’. This has spurred me to start a series of blog posts presenting funders’ perspectives on joining Crossref and using our system – to demonstrate how it’s done.
To address the growing scale and complexity of scholarly data, we’ve launched a new data science function at Crossref. In April, we were excited to welcome our first data scientists, Jason Portenoy and Alex Bédard-Vallée, to the team. With their arrival, the Data Science team is now fully up and running. In this blog post, we’re sharing our vision and what’s ahead for data science at Crossref.
Some of the typical users (outer) and uses (inner) of Crossref metadata
People using Crossref metadata need it for all sorts of reasons including metaresearch (researchers studying research itself such as through bibliometric analyses), publishing trends (such as finding works from an individual author or reviewer), or incorporation into specific databases (such as for discovery and search or in subject-specific repositories), and many more detailed use cases.
All Crossref metadata is open and available for reuse without restriction. Our 160,104,382 records include information about research objects like articles, grants and awards, preprints, conference papers, book chapters, datasets, and more. The information covers elements like titles, contributors, descriptions, dates, references, connecting identifiers such as Crossref DOIs, ROR IDs and ORCID iDs, together with all sorts of metadata that helps to determine provenance, trust, and reusability—such as funding, clinical trial, and license information.
Anyone can retrieve and use 160,104,382 records without restriction. So there are no fees to use the metadata but if you really rely on it then you might like to sign up for Metadata Plus which offers greater predictability, higher rate limits, monthly data dumps in XML and JSON, and access to dedicated support from our team.
Options for retrieving metadata
All Crossref metadata is completely open and available to all. Whatever your experience with metadata, there are several tools, techniques, and support guides to help—whether you’re just beginning, exploring occasionally, or need an ongoing reliable integration.
BEGINNING?
You’ve heard Crossref metadata might be useful and want to know where to start.
You rely on Crossref metadata and need to incorporate it into your product at scale.
You might want to jump straight to subscribing to Metadata Plus, which is our premium service for the REST API that comes with monthly data dumps in JSON and XML, higher rate limits, and fast support. But we always recommend that you try out the public version first to make sure it will work for your product. If you’re looking for a single DOI record in multiple formats (e.g. RDF, BibTex, CSL) you can use content negotiation.
Watch the animated introduction to metadata retrieval
