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.
This section is for Similarity Check account administrators using iThenticate v2 through the browser, and describes how you can manage exclusions within your account settings..
Not sure if you’re using iThenticate v1 or iThenticate v2? More here.
Not sure whether you’re an account administrator? Find out here.
Exclusions
If you want to exclude items from your Similarity Report results, you can do this by clicking on Settings in the left hand menu in iThenticate v2 homepage. There are two tabs where you can change different items - one is labelled Crossref Web, and the other is labelled Web and API. Here are the various items you can exclude.
Preprint Label and Exclusions
iThenticate v2 introduces a new feature which will automatically identify preprint sources within your Similarity Report. This will allow you to easily identify preprints so your editors can make a quick decision as to whether to investigate this source further or exclude it from the report.
In order to start using this feature you will need to configure it within the iThenticate settings by logging directly into your iThenticate account. You can find instructions on how to configure this feature in Turnitin’s help documentation.
You also have the option to automatically exclude all preprint sources from reports. All excluded preprints will still be available within the Similarity Exclusions panel of your Similarity Report and can be reincluded in the report.
Further details of how preprints appear within the Similarity Report can be found in Turnitin’s help documentation .
The Website Exclusions setting will allow you to automatically exclude all matches to specific websites. Instructions on how to turn on and configure this feature can be found in Turnitin’s help documentation.
This feature will only exclude matches in the Internet repository. If a journal website is added to the list of excluded websites then all pages which have been crawled and indexed into Turnitin’s Internet repository will be excluded. However, journal articles from that journal which appear in the Crossref repository will not be excluded.
This feature will apply to all submissions made to the iThenticate account; including all web submissions and submissions made through any integration.
All excluded matches will still be available within the Similarity Exclusions panel of your Similarity Report and can be reincluded in the report. Further details of how these exclusions will appear can be found in Turnitin’s help documentation.
Customized Exclusions
A new feature in iThenticate v2 is Customized Exclusions. The Customized Exclusions setting allows administrators to create sections of text that can be excluded from the Similarity Report. Administrators can tailor these keywords and phrases to best meet the needs of their organization (for example, ‘Further Acknowledgments’).