The Crossref Grant Linking System (GLS) has been facilitating the registration, sharing and re-use of open funding metadata for six years now, and we have reached some important milestones recently! What started as an interest in identifying funders through the Open Funder Registry evolved to a more nuanced and comprehensive way to share and re-use open funding data systematically. That’s how, in collaboration with the funding community, the Crossref Grant Linking System was developed. Open funding metadata is fundamental for the transparency and integrity of the research endeavour, so we are happy to see them included in the Research Nexus.
Crossref and the Public Knowledge Project (PKP) have been working closely together for many years, sharing resources and supporting our overlapping communities of organisations involved in communicating research. Now we’re delighted to share that we have agreed on a new set of objectives for our partnership, centred on further development of the tools that our shared community relies upon, as well as building capacity to enable richer metadata registration for organisations using the Open Journal Systems (OJS).
To mark Crossref’s 25th anniversary, we launched our first Metadata Awards to highlight members with the best metadata practices.
GigaScience Press, based in Hong Kong, was the leader among small publishers, defined as organisations with less than USD 1 million in publishing revenue or expenses. We spoke with Scott Edmunds, Ph.D., Editor-in-Chief at GigaScience Press, about how discoverability drives their high metadata standards.
What motivates your organisation/team to work towards high-quality metadata? What objectives does it support for your organisation?
Our objective is to communicate science openly and collaboratively, without barriers, to solve problems in a data- and evidence-driven manner through Open Science publishing. High-quality metadata helps us address these objectives by improving the discoverability, transparency, and provenance of the work we publish. It is an integral part of the FAIR principles and UNESCO Open Science Recommendation, playing a role in increasing the accessibility of research for both humans and machines. As one of the authors of the FAIR principles paper and an advisor of the Make Data Count project, I’ve also personally been very conscious to practice what I preach.
This section is for Similarity Check account administrators using iThenticate 2.0 through the browser, and describes how you can manage exclusions within your account settings..
Not sure if you’re using iThenticate v1 or iThenticate 2.0? 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 2.0 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 2.0 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 2.0 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 organisation (for example, ‘Further Acknowledgments’).
