Crossref and the Public Knowledge Project (PKP) have been working closely together for many years, sharing resources and supporting our overlapping communities of organisations involved in communicating research. Now we’re delighted to share that we have agreed on a new set of objectives for our partnership, centred on further development of the tools that our shared community relies upon, as well as building capacity to enable richer metadata registration for organisations using the Open Journal Systems (OJS).
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).
Many researchers want to carry out analysis and extraction of information from large sets of data, such as journal articles and other scholarly content. Methods such as screen-scraping are error-prone, place too much strain on content sites and may be unrepeatable or break if site layouts change. Providing researchers with automated access to the full-text content via DOIs and Crossref metadata reduces these problems, allowing for easy deduplication and reproducibility. Supporting text and data mining echoes our mission to make research outputs easy to find, cite, link, assess, and reuse.
In 2013 Crossref embarked on a project to better support Crossref members and researchers with Text and Data Mining requests and access. There were two main parts to the project:
To collect and make available full-text links and publisher TDM license links in the metadata.
To provide a service (TDM click-through service) for Crossref members to post their additional TDM terms and conditions and for researchers to access, review and accept these terms.
To date, 37.5 million works registered with Crossref have both full-text links and TDM license information. We continue to encourage all members to include full-text links and license information in the metadata they register to assist researchers with TDM. You can see how each member is doing via its Participation Report (e.g. Wiley’s).
Members are also making subscription content available for text mining (temporarily or otherwise) for specific purposes, such as to help the research community with its response to COVID-19. Back in April we highlighted how this can be achieved by including:
A “free to read” element in the access indicators section of publisher metadata indicating that the content is being made available free-of-charge (gratis)
An assertion element indicating that the content being made available is available free-of-charge.
To access Crossref’s click-through tool for text and data mining, users could log in via their ORCID iD. They could then review TDM license agreements posted by Crossref members and accept, reject or postpone their decisions until later. Having agreed to a publisher’s terms and conditions this action was logged against the user’s API token which they could use when requesting full-text from the publisher.
Since the pilot in 2014, only 2 publishers have continued with the tool and fewer than 300 API tokens have been issued.
Publishers have since developed their own mechanisms for managing TDM requests. The introduction of UK (2014) / EU (2019) copyright exceptions for TDM has significantly reduced the number of requests and at the same time, more and more content is published under an open access license.
Given the low take-up of the click-through by both publishers and researchers, its goals are no longer being met. Therefore we will retire the TDM click-through in December 2020. Until that date, it will still operate for the two publishers and various researchers who use it while they finish implementing their alternative plans.
Crossref will continue to collect member-supplied TDM licensing information in metadata for individual works, and researchers can continue to find this via the Crossref APIs.
