To date, we have collected around 740 million events from 12 different source since we launched our Event Data service service in 2017. Each event is an online mention of the research associated with a DOI, either via the DOI directly or using the associated URL. However, we know that there is much more out there. Because of this, we would like to explore where we could expand.
We invite proposals to conduct a gap analysis for Event Data sources, looking at what we currently collect and seeing what more could be added.
We are delighted to announce the formation of a new Advisory Group to support us in improving preprint metadata. Preprints have grown in popularity over the last few years, with increasing focus brought by the need to rapidly disseminate knowledge in the midst of a global pandemic. We have supported metadata deposits for preprints under the content type ‘posted content’ since 2016, and members currently register a total of around 17,000 new preprints metadata records each month.
It is time to put the ‘R’ back into R&D.
The Crossref R&D team was originally created to focus on the kinds of research projects that have allowed Crossref to make transformational technology changes, launch innovative new services, and engage with entirely new constituencies. Some Illustrious projects that had their origins in the R&D group include:
DOI Content Negotiation Similarity Check (originally CrossCheck) ORCID (originally Author DOIs) Crossmark The Open Funder Registry The Crossref REST API Linked Clinical Trials Event Data Grant registration ROR And for each project that has graduated, there have been several that have not.
This announcement has been in the works for some time, but everything seems to take longer when there is a pandemic going on, including finding time and headspace to plan out our strategy for the next few years.
Over the last year or so we have had our heads down addressing how to scale our 20-yr-old system and operation – and adapting to new ways of working. But we’ve also spent time talking to people, forging alliances, looking ahead, and making plans.
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