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.
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.
How to use doc-to-doc comparison
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