In the first half of this year we’ve been talking to our community about post-publication changes and Crossmark. When a piece of research is published it isn’t the end of the journey—it is read, reused, and sometimes modified. That’s why we run Crossmark, as a way to provide notifications of important changes to research made after publication. Readers can see if the resesarch they are looking at has updates by clicking the Crossmark logo.
We’re happy to note that this month, we are marking five years since Crossref launched its Grant Linking System. The Grant Linking System (GLS) started life as a joint community effort to create ‘grant identifiers’ and support the needs of funders in the scholarly communications infrastructure.
The system includes a funder-designed metadata schema and a unique link for each award which enables connections with millions of research outputs, better reporting on the research and outcomes of funding, and a contribution to open science infrastructure.
In our previous blog post about metadata matching, we discussed what it is and why we need it (tl;dr: to discover more relationships within the scholarly record). Here, we will describe some basic matching-related terminology and the components of a matching process. We will also pose some typical product questions to consider when developing or integrating matching solutions.
Basic terminology Metadata matching is a high-level concept, with many different problems falling into this category.
Update 2024-07-01: This post is based on an interview with Euan Adie, founder and director of Overton._
What is Overton? Overton is a big database of government policy documents, also including sources like intergovernmental organizations, think tanks, and big NGOs and in general anyone who’s trying to influence a government policy maker. What we’re interested in is basically, taking all the good parts of the scholarly record and applying some of that to the policy world.
Not sure if you’re using iThenticate v1 or iThenticate v2? More here.
Not sure whether you’re an account administrator? Find out here.
Private Repository - ScholarOne only
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?
Yes. An Administrator can find and delete a submission using the Paper Lookup Tool. Go to Turnitin’s help documentation for more information.
Page owner: Kathleen Luschek | Last updated 2022-July-15