We’ve just added to our input schema the ability to include affiliation information using ROR identifiers. Members who register content using XML can now include ROR IDs, and we’ll add the capability to our manual content registration tools, participation dashboards, and metadata retrieval APIs in the near future. And we are inviting members to a Crossref/ROR webinar on 29th September at 3pm UTC.
The background We’ve been working on the Research Organization Registry (ROR) as a community initiative for the last few years.
We’re excited (and a little nervous) to launch a new research project designed to assess the effects of metadata on research communications. We’re expecting this effort to be a significant contribution to the existing research on the topic and we’re really looking forward to getting started. We’re also a little nervous because of course we don’t know what the conclusions will be (after all, if we did, we wouldn’t be starting this project).
UPDATE, 13 July 2021: The first stage of the cutover is complete, so requests to the public pool are now being served by the new REST API. We took a slightly different approach to performing the cutover, so the “Documentation” and “Temporary domain” sections below have been updated.
Our REST API is the primary interface for anybody to fetch the metadata of content registered with us, and we’ve been working hard on a more robust REST API service that’s about to go live.
22 June 2021, London, UK and Boston, MA, USA — The future of global open access publishing received a boost today with the signing of a Memorandum of Understanding between the Directory of Open Access Journals (DOAJ) and Crossref. The MOU formalizes an already strong partnership between the two organisations and furthers their shared pursuit of an open scholarly communications ecosystem that is inclusive of emerging publishing communities.
Both organisations aim to encourage the dissemination and use of scholarly research using open infrastructure, online technologies, regional and international networks, and community partners - all supporting local institutional capacity and sustainability around the world.
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)
plain text (.txt)
Portable Document Format (.pdf)
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