We were delighted to engage with over 200 community members in our latest Community update calls. We aimed to present a diverse selection of highlights on our progress and discuss your questions about participating in the Research Nexus. For those who didn’t get a chance to join us, I’ll briefly summarise the content of the sessions here and I invite you to join the conversations on the Community Forum.
You can take a look at the slides here and the recordings of the calls are available here.
We have some exciting news for fans of big batches of metadata: this year’s public data file is now available. Like in years past, we’ve wrapped up all of our metadata records into a single download for those who want to get started using all Crossref metadata records.
We’ve once again made this year’s public data file available via Academic Torrents, and in response to some feedback we’ve received from public data file users, we’ve taken a few additional steps to make accessing this 185 gb file a little easier.
In 2022, we flagged up some changes to Similarity Check, which were taking place in v2 of Turnitin’s iThenticate tool used by members participating in the service. We noted that further enhancements were planned, and want to highlight some changes that are coming very soon. These changes will affect functionality that is used by account administrators, and doesn’t affect the Similarity Reports themselves.
From Wednesday 3 May 2023, administrators of iThenticate v2 accounts will notice some changes to the interface and improvements to the Users, Groups, Integrations, Statistics and Paper Lookup sections.
We’ve been spending some time speaking to the community about our role in research integrity, and particularly the integrity of the scholarly record. In this blog, we’ll be sharing what we’ve discovered, and what we’ve been up to in this area.
We’ve discussed in our previous posts in the “Integrity of the Scholarly Record (ISR)” series that the infrastructure Crossref builds and operates (together with our partners and integrators) captures and preserves the scholarly record, making it openly available for humans and machines through metadata and relationships about all research activity.
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.
