Metadata is one of the most important tools needed to communicate with each other about science and scholarship. It tells the story of research that travels throughout systems and subjects and even to future generations. We have metadata for organising and describing content, metadata for provenance and ownership information, and metadata is increasingly used as signals of trust.
Following our panel discussion on the same subject at the ALPSP University Press Redux conference in May 2024, in this post we explore the idea that metadata, once considered important mostly for discoverability, is now a vital element used for evidence and the integrity of the scholarly record.
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.
https://0-doi-org.lib.rivier.edu/10.13003/ief7aibi
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?
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.
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’).
