In the scholarly communications environment, the evolution of a journal article can be traced by the relationships it has with its preprints. Those preprint–journal article relationships are an important component of the research nexus. Some of those relationships are provided by Crossref members (including publishers, universities, research groups, funders, etc.) when they deposit metadata with Crossref, but we know that a significant number of them are missing. To fill this gap, we developed a new automated strategy for discovering relationships between preprints and journal articles and applied it to all the preprints in the Crossref database. We made the resulting dataset, containing both publisher-asserted and automatically discovered relationships, publicly available for anyone to analyse.
The second half of 2023 brought with itself a couple of big life changes for me: not only did I move to the Netherlands from India, I also started a new and exciting job at Crossref as the newest Community Engagement Manager. In this role, I am a part of the Community Engagement and Communications team, and my key responsibility is to engage with the global community of scholarly editors, publishers, and editorial organisations to develop sustained programs that help editors to leverage rich metadata.
STM, DataCite, and Crossref are pleased to announce an updated joint statement on research data.
In 2012, DataCite and STM drafted an initial joint statement on the linkability and citability of research data. With nearly 10 million data citations tracked, thousands of repositories adopting data citation best practices, thousands of journals adopting data policies, data availability statements and establishing persistent links between articles and datasets, and the introduction of data policies by an increasing number of funders, there has been significant progress since.
Have you attended any of our annual meeting sessions this year? Ah, yes – there were many in this conference-style event. I, as many of my colleagues, attended them all because it is so great to connect with our global community, and hear your thoughts on the developments at Crossref, and the stories you share.
Let me offer some highlights from the event and a reflection on some emergent themes of the day.
Since we announced last September the launch of a new version of iThenticate, a number of you have upgraded and become familiar with iThenticate v2 and its new and improved features which include:
A faster, more user-friendly and responsive interface
A preprint exclusion filter, giving users the ability to identify content on preprint servers more easily
A new “red flag” feature that signals the detection of hidden text such as text/quotation marks in white font, or suspicious character replacement
A private repository available for browser users, allowing them to compare against their previous submissions to identify duplicate submissions within your organisation
A content portal, helping users check how much of their own research outputs have been successfully indexed, self-diagnose and fix the content that has failed to be indexed in iThenticate.
We’ve received some great feedback from iThenticate v2 users and user testers:
“There are a lot of new and helpful features implemented in version 2 of iThenticate.”
– Beilstein Institut
“The updates to the user interface make working with the new version a pleasure. It has a very modern feel and is easy to use, as an app on a phone. We particularly like being able to click on a link and easily exclude a source from view with just a few clicks. The response time and speed of download are also greatly improved which will cut down processing time on our end.”
“I like the ability to be able to exclude content directly from the report.”
In September, we started inviting new and existing Similarity Check subscribers using iThenticate in the browser to upgrade to this new version. And now some of the manuscript submission systems have completed their integrations with the new version of iThenticate too, so users of these systems can start to migrate. Morressier users are already using iThenticate v2, and in the next few days, we will be emailing all eJournalPress users. We know the other major manuscript submission systems are also working on their integrations, and we’ll be in touch with members using them as soon as they confirm they are ready.
Manuscript tracking system integrations
All Similarity Check subscribers using a manuscript management system will particularly appreciate a closer integration with iThenticate v2 which means that users will be able to view their Similarity Report and investigate sources within their manuscript tracking system.
eJournalPress users will also be able to customise their iThenticate v2 settings via a configuration interface and to decide, for example, to include or exclude bibliographies from their Similarity Reports. The new integration will also show the top five matches returned by iThenticate directly in the eJournalPress interface.
Editorial Manager and ScholarOne
Aries (Editorial Manager) and Clarivate (ScholarOne) are planning to release their iThenticate v2 integrations later this year and we will be inviting users to upgrade in the coming months.
– The National Academies of Sciences, Engineering, and Medicine
“The clickable links will save us a considerable amount of time as they make it easy for the author to understand where the overlap is coming from, meaning we do not need to spend time clarifying overlap reports to the authors. The summary page is also very useful as authors and editors are easily able to see which sections have been included and excluded from the report.”
The PDF version of the Similarity Report has been completely redesigned and can easily be downloaded, emailed and printed. It contains a summary of the report i.e. word count, character count, number of pages, file size, excluded sections, submission, and report dates as well as the similarity score and a list of the top sources with clickable links.
Custom section exclusion filter
In iThenticate v2, users can now exclude sections that are standard such as authors, affiliations, ethics statements, acknowledgments, etc. from the Similarity Report which often impacts similarity scores. You can choose from the templates available and/or create your own custom section exclusions from the admin portal.
“The user interface is definitely more responsive than v1, especially when I am looking at the full-text viewing mode, scrolling through the text to compare matches, reading through the box of text in the matching source […] I also especially like the options around excluding, I was able to see our submitted work was also taken into the database and showed matches against the papers we’d uploaded already. Going forward, this is a really interesting thing for us, especially if we are looking at duplicated content in the same journal.”
– Taylor & Francis
Details of user activity including folder names, similarity scores, word count, and file format are now also available in iThenticate v2 and downloadable as Excel and csv. files.
Further enhancements to existing features and interface such as the view full-text mode, user groups, and custom section exclusions are planned for this year. Paraphrase detection and citation matching are currently in development.