Thank you to everyone who responded with feedback on the Op Cit proposal. This post clarifies, defends, and amends the original proposal in light of the responses that have been sent. We have endeavoured to respond to every point that was raised, either here or in the document comments themselves.
We strongly prefer for this to be developed in collaboration with CLOCKSS, LOCKSS, and/or Portico, i.e. through established preservation services that already have existing arrangements in place, are properly funded, and understand the problem space.
I’m pleased to share the 2023 board election slate. Crossref’s Nominating Committee received 87 submissions from members worldwide to fill seven open board seats.
We maintain a balance of eight large member seats and eight small member seats. A member’s size is determined based on the membership fee tier they pay. We look at how our total revenue is generated across the membership tiers and split it down the middle. Like last year, about half of our revenue came from members in the tiers $0 - $1,650, and the other half came from members in tiers $3,900 - $50,000.
https://doi-org.turing.library.northwestern.edu/10.13003/c23rw1d9
Crossref acquires Retraction Watch data and opens it for the scientific community Agreement to combine and publicly distribute data about tens of thousands of retracted research papers, and grow the service together
12th September 2023 —– The Center for Scientific Integrity, the organisation behind the Retraction Watch blog and database, and Crossref, the global infrastructure underpinning research communications, both not-for-profits, announced today that the Retraction Watch database has been acquired by Crossref and made a public resource.
Today, we are announcing a long-term plan to deprecate the Open Funder Registry. For some time, we have understood that there is significant overlap between the Funder Registry and the Research Organization Registry (ROR), and funders and publishers have been asking us whether they should use Funder IDs or ROR IDs to identify funders. It has therefore become clear that merging the two registries will make workflows more efficient and less confusing for all concerned.
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.
Within a folder, the Documents tab shows all the submitted documents for that folder.
Each document submitted generates a Similarity Report after the document has been through the Similarity Check. If more documents are present than can be displayed at once, the pages feature will appear beneath the documents - click the page number to display, or click Next to move to the next page of documents.
zip file upload - to submit a zip file containing multiple documents, up to a maximum of 100MB or 1,000 files. Larger files may take longer to upload
cut & paste - to submit text directly into the submission box. Use this to copy and paste a submission from a file format that is not supported. This method supports plain text only (no images or non-text information)
iThenticate currently accepts the following file types for document upload:
Microsoft Word® (.doc and .docx)
Word XML
plain text (.txt)
Adobe PostScript®
Portable Document Format (.pdf)
HTML
Corel WordPerfect® (.wpd)
Rich Text Format (.rtf)
Each file may not exceed 400 pages, and each file size may not exceed 100 MB. Reduce the size of larger files by removing non-text content. You can’t upload or submit to iThenticate files that are password-protected, encrypted, hidden, system files, or read-only.
.pdf documents must contain text - if they contain only images of text, they will be rejected during the upload attempt. To check, copy and paste a section of the .pdf into a plain-text editor such as Microsoft Notepad® or Apple TextEdit®. If no text is copied over, the selection does not contain text.
To convert scanned images of a document, or an image saved as a .pdf, use Optical Character Recognition (OCR) software to convert the image to text. The conversion software can introduce errors, so manually check and correct the converted document.
Some document formats can contain multiple data types, such as text, images, embedded information from another file, and formatting. Non-text information that is not saved directly within the document will not be included in a file upload, for example, references to a Microsoft Excel® spreadsheet included within a Microsoft Office Word® document.
Use a word-processing program to save your file as one of the accepted types listed above, such as .rtf or .txt. Neither file type supports images or non-text data within the file. Plain text format does not support any formatting, and rich text format allows only limited formatting.
When converting a file to a new format, save it with a different name from the original, to avoid accidentally overwriting the original file. This is especially important when converting to plain text or rich text formats, to prevent permanent loss of the original formatting or image content of the file.
Page owner: Kathleen Luschek | Last updated 2020-May-19
