The integrity of the scholarly record is an essential aspect of research integrity. Every initiative and service that we have launched since our founding has been focused on documenting and clarifying the scholarly record in an open, machine-actionable and scalable form. All of this has been done to make it easier for the community to assess the trustworthiness of scholarly outputs. Now that the scholarly record itself has evolved beyond the published outputs at the end of the research process – to include both the elements of that process and its aftermath – preserving its integrity poses new challenges that we strive to meet… we are reaching out to the community to help inform these efforts.
I’m pleased to share the 2022 board election slate. Crossref’s Nominating Committee received 40 submissions from members worldwide to fill five open board seats.
We maintain a balance of eight large member seats and eight small member seats. A member’s size is determined based on the membership fee tier they pay. We look at how our total revenue is generated across the membership tiers and split it down the middle. Like last year, about half of our revenue came from members in the tiers $0 - $1,650, and the other half came from members in tiers $3,900 - $50,000.
Our entire community – members, metadata users, service providers, community organizations and researchers – create and/or use DOIs in some way so making them more accessible is a worthy and overdue effort.
For the first time in five years and only the second time ever, we are recommending some changes to our DOI display guidelines (the changes aren’t really for display but more on that below). We don’t take such changes lightly, because we know it means updating established workflows.
I’m delighted to say that Martin Paul Eve will be joining Crossref as a Principal R&D Developer starting in January 2023.
As a Professor of Literature, Technology, and Publishing at Birkbeck, University of London- Martin has always worked on issues relating to metadata and scholarly infrastructure. In joining the Crossref R&D group, Martin can focus full-time on helping us design and build a new generation of services and tools to help the research community navigate and make sense of the scholarly record.
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.
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.
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’).