Retractions and corrections from Retraction Watch are now available in Crossref’s REST API. Back in September 2023, we announced the acquisition of the Retraction Watch database with an ongoing shared service. Since then, they have sent us regular updates, which are publicly available as a csv file. Our aim has always been to better integrate these retractions with our existing metadata, and today we’ve met that goal.
This is the first time we have supplemented our metadata with a third-party data source.
As a provider of foundational open scholarly infrastructure, Crossref is an adopter of the Principles of Open Scholarly Infrastructure (POSI). In December 2024 we posted our updated POSI self-assessment. POSI provides an invaluable framework for transparency, accountability, susatinability and community alignment. There are 21 other POSI adopters.
Together, we are now undertaking a public consultation on proposed revisions for a version 2.0 release of the principles, which would update the current version 1.
https://doi.org/10.13003/axeer1ee
In our previous entry, we explained that thorough evaluation is key to understanding a matching strategy’s performance. While evaluation is what allows us to assess the correctness of matching, choosing the best matching strategy is, unfortunately, not as simple as selecting the one that yields the best matches. Instead, these decisions usually depend on weighing multiple factors based on your particular circumstances. This is true not only for metadata matching, but for many technical choices that require navigating trade-offs.
Looking back over 2024, we wanted to reflect on where we are in meeting our goals, and report on the progress and plans that affect you - our community of 21,000 organisational members as well as the vast number of research initiatives and scientific bodies that rely on Crossref metadata.
In this post, we will give an update on our roadmap, including what is completed, underway, and up next, and a bit about what’s paused and why.
This section is for Similarity Check account administrators using iThenticate v2 through the browser, and describes how you can manage exclusions within your account settings..
Not sure if you’re using iThenticate v1 or iThenticate v2? More here.
Not sure whether you’re an account administrator? Find out here.
Exclusions
If you want to exclude items from your Similarity Report results, you can do this by clicking on Settings in the left hand menu in iThenticate v2 homepage. There are two tabs where you can change different items - one is labelled Crossref Web, and the other is labelled Web and API. Here are the various items you can exclude.
Preprint Label and Exclusions
iThenticate v2 introduces a new feature which will automatically identify preprint sources within your Similarity Report. This will allow you to easily identify preprints so your editors can make a quick decision as to whether to investigate this source further or exclude it from the report.
In order to start using this feature you will need to configure it within the iThenticate settings by logging directly into your iThenticate account. You can find instructions on how to configure this feature in Turnitin’s help documentation.
You also have the option to automatically exclude all preprint sources from reports. All excluded preprints will still be available within the Similarity Exclusions panel of your Similarity Report and can be reincluded in the report.
Further details of how preprints appear within the Similarity Report can be found in Turnitin’s help documentation .
The Website Exclusions setting will allow you to automatically exclude all matches to specific websites. Instructions on how to turn on and configure this feature can be found in Turnitin’s help documentation.
This feature will only exclude matches in the Internet repository. If a journal website is added to the list of excluded websites then all pages which have been crawled and indexed into Turnitin’s Internet repository will be excluded. However, journal articles from that journal which appear in the Crossref repository will not be excluded.
This feature will apply to all submissions made to the iThenticate account; including all web submissions and submissions made through any integration.
All excluded matches will still be available within the Similarity Exclusions panel of your Similarity Report and can be reincluded in the report. Further details of how these exclusions will appear can be found in Turnitin’s help documentation.
Customized Exclusions
A new feature in iThenticate v2 is Customized Exclusions. The Customized Exclusions setting allows administrators to create sections of text that can be excluded from the Similarity Report. Administrators can tailor these keywords and phrases to best meet the needs of their organization (for example, ‘Further Acknowledgments’).