Sponsors make Crossref membership accessible to organizations that would otherwise face barriers to joining us. They also provide support to facilitate participation, which increases the amount and diversity of metadata in the global Research Nexus. This in turn improves discoverability and transparency of scholarship behind the works.
We are looking to work with an individual or organization to perform an audit of, and propose changes to, the structure and information architecture underlying our website, with the aim of making it easier for everyone in our community to navigate the website and find the information they need.
Proposals will be evaluated on a rolling basis. We encourage submissions by May 15, 2025.
At the end of last year, we were excited to announce our renewed commitment to community and the launch of three cross-functional programs to guide and accelerate our work. We introduced this new approach to work towards better cross-team alignment, shared responsibility, improved communication and learning, and make more progress on the things members need.
This year, metadata development is one of our key priorities and we’re making a start with the release of version 5.4.0 of our input schema with some long-awaited changes. This is the first in what will be a series of metadata schema updates.
What is in this update?
Publication typing for citations
This is fairly simple; we’ve added a ‘type’ attribute to the citations members supply. This means you can identify a journal article citation as a journal article, but more importantly, you can identify a dataset, software, blog post, or other citation that may not have an identifier assigned to it. This makes it easier for the many thousands of metadata users to connect these citations to identifiers. We know many publishers, particularly journal publishers, do collect this information already and will consider making this change to deposit citation types with their records.
A Schematron report tells you if there’s a metadata quality issue with your records.
Schematron is a pattern-based XML validation language. We try to stop the deposit of metadata with obvious issues, but we can’t catch everything because publication practices are so varied. For example, most family names in our database that end with jr are the result of a publisher including a suffix (Jr) in a family name, but there are of course surnames ending with ‘jr’.
We do a weekly post-registration metadata quality check on all journal, book, and conference proceedings submissions, and record the results in the schematron report. If we spot a problem we’ll alert your technical contact via email. Any identified errors may affect overall metadata quality and negatively affect queries for your content. Errors are aggregated and sent out weekly via email in the schematron report.
What should I do with my schematron report?
The report contains links (organized by title) to .xml files containing error details. The XML files can be downloaded and processed programmatically, or viewed in a web browser: