Crossref’s Similarity Check service is used by our members to detect text overlap with previously published work that may indicate plagiarism of scholarly or professional works. Manuscripts can be checked against millions of publications from other participating Crossref members and general web content using the iThenticate text comparison software from Turnitin.
It’s me! Back in January I wrote, The one constant in Crossref’s 20 years has been change. This continues to be true, and the latest change is that I’m happy to say that I will be staying on as Executive Director of Crossref. At the recent Crossref board meeting, I rescinded my resignation and the board happily accepted this.
Please help us welcome new faces at Crossref! Martyn, Sara, Laura, and Mark joined us very recently and we are happy they’re with us. Both Martyn and Sara have joined the Product team and this has given us the chance to reorganize the team into the following groups: content registration, scholarly stewardship, scholarly impact, metadata retrieval, and UX/UI leadership. Laura joined the Finance and Operations team to help make the billing process simple for our members. Mark joins the Technology team and one of his projects will be improving the Event Data service.
It is exciting to already see the impact of your contributions and look forward to what’s to come!
2020 hasn’t been quite what any of us had imagined. The pandemic has meant big adjustments in terms of working; challenges for parents balancing childcare and professional lives; anxieties and tensions we never had before; the strain of potentially being away from co-workers, friends, and family for a prolonged period of time. Many have suffered job losses and around the world, many have sadly lost their lives to the virus.
The schematron report is used for alerts about metadata quality issues. 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 send you an alert. 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: