For the third year in a row, Crossref hosted a roundtable on research integrity prior to the Frankfurt book fair. This year the event looked at Crossmark, our tool to display retractions and other post-publication updates to readers.
Since the start of 2024, we have been carrying out a consultation on Crossmark, gathering feedback and input from a range of members. The roundtable discussion was a chance to check and refine some of the conclusions we’ve come to, and gather more suggestions on the way forward.
In our previous blog post in this series, we explained why no metadata matching strategy can return perfect results. Thankfully, however, this does not mean that it’s impossible to know anything about the quality of matching. Indeed, we can (and should!) measure how close (or far) we are from achieving perfection with our matching. Read on to learn how this can be done!
How about we start with a quiz? Imagine a database of scholarly metadata that needs to be enriched with identifiers, such as ORCIDs or ROR IDs.
We’re in year two of the Resourcing Crossref for Future Sustainability (RCFS) research. This report provides an update on progress to date, specifically on research we’ve conducted to better understand the impact of our fees and possible changes.
Crossref is in a good financial position with our current fees, which haven’t increased in 20 years. This project is seeking to future-proof our fees by:
Making fees more equitable Simplifying our complex fee schedule Rebalancing revenue sources In order to review all aspects of our fees, we’ve planned five projects to look into specific aspects of our current fees that may need to change to achieve the goals above.
On behalf of the Nominating Committee, I’m pleased to share the slate of candidates for the 2024 board election.
Each year we do an open call for board interest. This year, the Nominating Committee received 53 submissions from members worldwide to fill four open board seats.
We maintain a balanced board of 8 large member seats and 8 small member seats. Size is determined based on the organization’s membership tier (small members fall in the $0-$1,650 tiers and large members in the $3,900 - $50,000 tiers).
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
