Crossref Similarity Check news: iThenticate v2.0 ready for launch
Last year, we announced the upcoming launch of a new version of iThenticate, the product from Turnitin that powers Crossref Similarity Check. We know some of you have been waiting a long time for this upgrade and we are very happy to share with you that we are now ready to release it.
We will be rolling out this new version in stages, so not everyone will be able to upgrade to the new version immediately.
TL;DR We missed an error that led to resource resolution URLs of some 500,000+ records to be incorrectly updated. We have reverted the incorrect resolution URLs affected by this problem. And, we’re putting in place checks and changes in our processes to ensure this does not happen again.
How we got here Our technical support team was contacted in late June by Wiley about updating resolution URLs for their content. It’s a common request of our technical support team, one meant to make the URL update process more efficient, but this was a particularly large request.
Crossref Conversations is an audio blog we’re trying out that will cover various topics important to our community. This conversation is between colleagues Anna Tolwinska and Rosa Morais Clark, discussing how we can make research happen faster, with fewer hurdles, and how Crossref can help. Our members have been asking us how Crossref can support open science, and we have a few insights to share. So we invite you to have a listen.
We’ve just added to our input schema the ability to include affiliation information using ROR identifiers. Members who register content using XML can now include ROR IDs, and we’ll add the capability to our manual content registration form, participation reports, and metadata retrieval APIs in the near future. And we are inviting members to a Crossref/ROR webinar on 29th September at 3pm UTC.
The background We’ve been working on the Research Organization Registry (ROR) as a community initiative for the last few years.
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 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: