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.
Test out the early preview of Event Data while we continue to develop it. Share your thoughts. And be warned: we may break a few eggs from time to time!
Chicken by anbileru adaleru from the The Noun Project
Want to discover which research works are being shared, liked and commented on? What about the number of times a scholarly item is referenced? Starting today, you can whet your appetite with an early preview of the forthcoming Crossref Event Data service. We invite you to start exploring the activity of DOIs as they permeate and interact with the world after publication.
But first, a bit of background
Discussion around scholarly research increasingly occurs online after publication, for example on blogs, sharing services, social media, and wikis. These ‘events’ occur across the web on numerous platforms and are a critical part of the scholarly enterprise. We are developing an infrastructure service (Crossref Event Data) that collects, stores, and delivers raw data of the events occurring with Crossref DOIs. We will store the data in an open, auditable and portable form for the community to access. Publishers, platforms, funders, bibliometricians and service providers may benefit from access to this raw data, and it can be used to feed into research records or proprietary tools and services that offer aggregation and analysis.
Developers Martin Fenner (DataCite) and Joe Wass (Crossref) enjoy a tofu break
Lagotto, the software originally developed at PLOS, has been extended and improved in a joint effort between DataCite and Crossref. The two DOI Registration Agencies have partnered to envision, build and release the service. On the 13th of April, after a year ofcollaboration, we jointly released Lagotto 5.0. You can read about the collaboration on the DataCite blog post.
Crossref and DataCite will continue to work closely together to develop Lagotto and the Event Data service. Although Crossref Event Data has mostly Crossref DOIs at launch, you will be able to find DataCite DOIs if they are cited in Crossref or Wikipedia.
All of the software that runs Event Data, including Lagotto, is developed in the open and is open source. Please refer to the Crossref Event Data Technical User Guide for full details.
Preview the data
This service is currently under development with a full launch expected the second half of 2016. Before it is launched however, we invite you to take a look around and preview a subset of the data sources we plan to include. You may experience occasional hiccups while we continue building the service.
At this stage, we are working with data from three sources although we will greatly expand the variety of platforms from which we collect data as development progresses. At this stage, you can view Mendeley bookmarks, Wikipedia references, and Crossref to DataCite links.
Mendeley
Mendeley is a reference manager and academic social network for scholars. View the number of social bookmarks from scholars or groups on Mendeley.
Wikipedia is an online encyclopaedia, the Internet’s largest and most popular general reference work. View references in Wikipedia of Crossref publications in Wikipedia articles in all languages.
DataCite is a global consortium that assigns DOIs to research data. This enables people to find, share, use, and cite data. You can view all the data citations to DataCite research outputs found in Crossref publications (work is underway to make the links found in DataCite metadata available in Event Data).
You can explore the Crossref Event Data early preview by visiting http://eventdata.crossref.org.pluma.sjfc.edu and following the links to featured examples within our interim application for inspecting the data, technical documentation, and our Quick Start guide.
Share your thoughts
This service is currently under development and as such we welcome your thoughts and feedback on the data we are collecting currently from our three active sources. As a reminder, we expect to include the following sources as part of our full service launch later this year (pending confirmation):
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We’re also on the lookout for new data sources to investigate for future inclusion in the Event Data service so please do get in touch with requests and recommendations. As we continue to build the service throughout 2016, we will be committing to a model of continuous development so that we can make new sources available as they are completed.
Watch this blog for regular updates on our progress, or subscribe to receive new blog posts by email (just add your details to the upper right side of this page).
