Experience of using CORE Recommender

CORE Recommender is a plugin for repositories, journals and web interfaces that provides suggestions on relevant articles to the article a user is looking for. The source of recommended data is the base of CORE, which consists of over 25 million full texts from CORE. Today we have interviewed George Macgregor, Scholarly Publications & Research Data Manager at the University of Strathclyde, responsible for the Strathprints institutional repository.  Read about his experience of using CORE Recommender on the Jisc Research blog. read more...

Flowcite Expands its Knowledge Library with 210 Million Research Papers from CORE

Flowcite has teamed up with CORE, the world’s largest aggregator of open access research papers. The partnership will provide Flowcite users with free and unlimited access to millions of open access research papers from the CORE database.

CORE is delighted to partner with Flowcite and progress our aligned goals to make open research content available to all. By connecting our innovative solutions we continue to evolve the way research is being completed and increase the discoverability and usage of all research outputs.” Dr Petr Knoth, CORE Founder. read more...

Looking forward to REF2026

Posted 1st April 2021. You’ll probably be glad to know that, thankfully, none of what follows is actually true. We do hope however it brought even a weak smile to your REF-weary faces. We, like you, are at the behest of far greater and more powerful forces so, when and if REF2026 comes around, we’ll be hanging on for the ride too! Happy holidays to those lucky enough to get some time off over the next couple of weeks. read more...

CORE update for October to December 2020

October to December 2020 CORE broke records, partnered with arXiv.org and continued improving our REF2021 compliance monitoring service. The CORE team had a busy end to 2020! 

Our team concentrated on multiple areas, including collaboration with the open access community and new feature development. Find out more details on Jisc Research Blog.

CORE update for July to September 2020

The team continues to work on improving the CORE. This period was a highly productive period for CORE in terms of growing and developing our products.

You can found something interesting about:

  • Dashboard
  • Improving access to the CORE Repository Dashboard
  • Improving data provider registration 
  • CORE’s team involves an international event on processing research papers
  • CORE Discovery and repositories
  • CORE’s work on product improvement
  • Statistics
Read more

The 3C Citation Context Classification Shared Task

The first edition of the shared task organised by the researchers at CORE, Knowledge Media Institute (KMi), The Open University, UK featured the classification of citations for research impact analysis. The new shared task, known as the 3C Citation Context Classification task, organised as part of the 8th International Workshop on Mining Scientific Publications (WOSP), 2020 and was hosted on the free data science competitions hosting platform, Kaggle InClass

Read more at the link.

CORE joins stakeholder group of the Initiative for Open Abstracts (I4OA)

The I4OA was launched this September, calling for an increase in the volume of open abstracts. After having identified that either a large number of the published literature does not have open abstracts, or that available abstracts are currently disseminated via proprietary platforms with reuse restrictions, I4OA calls the publishing community to open up all abstracts of the published literature. 

CORE fully supports the I4OA initiative as this matches CORE’s mission. By being an aggregator of research content available in thousands of repositories and journals, we understand how important it is for metadata of research papers, which includes the abstract, to be openly available.  read more...

CORE Recommender now supports article discovery on arXiv

This blog post was originally posted at the arXiv blog.

arXiv readers now have a faster way to find articles relevant to their interests. From an article abstract page, readers can simply activate the CORE Recommender to find additional open access research on similar topics.

The Recommender, part of the arXivLabs toolset, was developed by CORE, a global aggregator of open access scientific content, which provides access to millions of full texts. CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way, CORE facilitates free unrestricted access to research for all.  read more...