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.
Hello, readers! My name is Luis, and I’ve recently started a new role as the Technical Community Manager at Crossref, where I aim to bridge the gap between some of our services and our community awareness to enhance the Research Nexus. I’m excited to share my thoughts with you.
My journey from research to science communications infrastructure has been a gradual transition. As a Masters student in Biological Sciences, I often felt curious about the behind-the-scenes after a paper is submitted and published.
In May, we updated you on the latest changes and improvements to the new version of iThenticate and let you know that a new similarity report and AI writing detection tool were on the horizon.
On Wednesday 1 November 2023, Turnitin (who produce iThenticate) will be releasing a brand new similarity report and a free preview to their AI writing detection tool in iThenticate v2. The AI writing detection tool will be enabled by default and account administrators will be able to switch it off/on.
The Submitted Works repository (or Private Repository) is a new feature in iThenticate v2. The only MTS that currently integrates with this feature is ScholarOne. This feature allows users to find similarity not just across Turnitin’s extensive Content Database but also across all previous manuscripts submitted to your iThenticate account for all the journals you work on. This would allow you to find collusion between authors or potential cases of duplicate submissions.
How does this work?
You have received a manuscript from Author 1 and have decided to index this manuscript into your Submitted Works repository. At some point later you receive a new manuscript from Author 2. When generating your Similarity Report, you have decided to check against your Submitted Works repository. There is a paragraph in the manuscript from Author 2 which matches a paragraph in the manuscript from Author 1. This would be highlighted within your Similarity Report as a match against your Submitted Works repository.
By clicking on this match you can see the full text of the submission you’ve matched against:
And details about the submission, such as the name and email address of the user who submitted it, the date it was submitted and the title of the submission:
The ability to see the full source text and the details can both be switched off individually.
Setting up the Submitted Works repository
If you are using a third party integration then you should have options inside your MTS when setting up your configuration with iThenticate to decide whether submissions will be indexed to the Submitted Works repository and whether generated Similarity Reports will match against the Submitted Works.
Important: This feature means that sensitive data could be shared between different journals using your iThenticate account
The Submitted Works repository is shared across your entire iThenticate account. This means regardless of whether a submission was made natively from the iThenticate website or through an integration, all Similarity Reports which match against the Submitted Works repository will potentially match against any submissions which were indexed within it. This means that an editor working on one journal may be able to view submissions for another journal. If you are worried about giving your users access to sensitive data, we recommend switching this functionality off.
Submitted Works repository FAQs
Q. How much does this feature cost to use?
This feature comes free with every v2 account.
Q. How many submissions can I index to my private repository?
There is no limit to the number of submissions you can index.
Q. Can I delete submissions from my private repository?