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.
To work out which version you’re on, take a look at the website address that you use to access iThenticate. If you go to ithenticate.com then you are using v1. If you use a bespoke URL, https://crossref-[your member ID].turnitin.com/ then you are using v2.
Use doc-to-doc comparison to compare a primary uploaded document with up to five comparison uploaded documents. Any documents that you upload to doc-to-doc comparison will not be indexed and will not be searchable against any future submissions.
Uploading a primary document to doc-to-doc comparison will cost you a single document submission, but the comparison documents uploaded will not cost you any submissions.
Start from Folders, go to the Submit a document menu, and click Doc-to-Doc Comparison.
The doc-to-doc comparison screen allows you to choose one primary document and up to five comparison documents. Choose the destination folder for the documents you will upload. The Similarity Report for the comparison will be added to the same folder.
For your primary document, provide the author’s first name, last name, and document title. If you do not provide these details, the filename will be used for the title, and the author details will stay blank.
If you have administrator permissions, you can assign the Similarity Report for the comparison to a reporting group by selecting one from the Reporting Group drop-down. Learn more about reporting groups.
Click Choose File, and select the file you want to upload as your primary document. See the file requirements for both the primary and comparison documents on the right of the screen.
You can choose up to five comparison documents to check against your primary document. These do not need to be given titles and author details. Each of the filenames must be unique. Click Choose Files, and select the files you would like to upload as comparison documents. To remove a file from the comparison before you upload it, click the X icon next to the file. To upload your files for comparison, click Upload.
Once your document has been uploaded and compared against the comparison documents, it will appear in your chosen destination folder.
This upload will have ‘Doc-to-Doc Comparison’ beneath the document title to show that this is a comparison upload and has not been indexed.
The upload will be given a Similarity Score against the selected comparison documents, which is also displayed in the report column. Click the similarity percentage to open the doc-to-doc comparison in the Document Viewer.
The Document Viewer is separated into three sections:
Along the top of the screen, the paper information bar shows details about the primary document, including document title, author, date the report was processed, word count, number of comparison documents provided, and how many of those documents matched with the primary document.
On the left panel is the paper text - this is the text of your primary document. Matching text is highlighted in red.
Your comparison documents will appear in the sources panel to the right, showing instances of matching text within the submitted documents.
By default, the doc-to-doc comparison will open the Document Viewer in the All Sources view. This view lists all the comparison documents you uploaded. Each comparison document has a percentage showing the amount of content within them that is similar to the primary document. If a comparison document has no matching text with the primary document, it has 0% next to it.
Doc-to-doc comparison can also be viewed in Match Overview mode. In this view, the comparison documents are listed with highest match percentage first, and all the sources are shown together, color-coded, on the paper text.
Page owner: Kathleen Luschek | Last updated 2020-May-19