To mark Crossref’s 25th anniversary, we launched our first Metadata Awards to highlight members with the best metadata practices.
GigaScience Press, based in Hong Kong, was the leader among small publishers, defined as organisations with less than USD 1 million in publishing revenue or expenses. We spoke with Scott Edmunds, Ph.D., Editor-in-Chief at GigaScience Press, about how discoverability drives their high metadata standards.
What motivates your organisation/team to work towards high-quality metadata? What objectives does it support for your organisation?
Our objective is to communicate science openly and collaboratively, without barriers, to solve problems in a data- and evidence-driven manner through Open Science publishing. High-quality metadata helps us address these objectives by improving the discoverability, transparency, and provenance of the work we publish. It is an integral part of the FAIR principles and UNESCO Open Science Recommendation, playing a role in increasing the accessibility of research for both humans and machines. As one of the authors of the FAIR principles paper and an advisor of the Make Data Count project, I’ve also personally been very conscious to practice what I preach.
On behalf of the Nominating Committee, I’m pleased to share the slate of candidates for the 2025 board election.
Each year we do an open call for board interest. This year, the Nominating Committee received 51 submissions from members worldwide to fill five open board seats.
We have four large member seats and one small member seat open for election in 2025. We maintain a balanced board of 8 large member seats and 8 small member seats. Size is determined based on the organization’s membership tier (small members fall in the $0-$1,650 tiers and large members in the $3,900 - $50,000 tiers).
In 2022, we wrote a blog post “Rethinking staff travel, meetings, and events” outlining our new approach to staff travel, meetings, and events with the goal of not going back to ‘normal’ after the pandemic and said that in the future we would report on our efforts to balance online and virtual events, work life balance for staff, and track our carbon emissions. In December 2024, we wrote a blog post, “Summary of the environmental impact of Crossref,” that gave an overview of 2023 and provided the first report on our carbon emissions. Our report on 2023 only just made it into 2024, so we are happy to report on 2024 a little sooner in the year.
To date, there are about 100 Crossref members who have made use of our co-access service for one or more of their books. The service was designed to be a last-resort measure when multiple parties - book publishers, aggregators, and other members - had rights to register book content. Unfortunately, the service allowed members to register multiple DOIs for shared books and book chapters, thereby violating our own core tenet of one DOI per content item. We should not have created a service that violated that tenet, resulting in duplicate DOIs. As we are able to offer an alternative in the form of the multiple resolution service, it is time to switch co-access off. Among other benefits – for the publisher and the authors, creation of a single DOI for each item, regardless of where it might be hosted, will result in more accurate citation counts and usage statistics. We’re retiring co-access at the end of 2026.
This section is for Similarity Check account administrators using iThenticate 2.0 through the browser, and describes how you can manage exclusions within your account settings..
Not sure if you’re using iThenticate v1 or iThenticate 2.0? 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 2.0 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 2.0 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 2.0 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 organisation (for example, ‘Further Acknowledgments’).
