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core project full details

CORE

The world's largest collection of open access research papers

CORE hosts the world's largest collection of open access research outputs, which are used and referenced by people globally, including researchers, libraries, software developers, funders and many more. CORE delivers a number of key measurable benefits to institutions, repositories, and researchers through its services. The value of CORE is not only provided by its services, but mostly by helping others in the delivery of their use cases. This makes CORE an enabling infrastructure, allowing for text mining, business intelligence, compliance monitoring and research analytics.

Benefits

The CORE services:

  • provide real-time machine access to metadata and full texts of research papers in CORE.
  • help to download CORE data and run processes in your own infrastructure, access data across all of our data providers, prototype new methods, data analysis and text mining
  • recommend papers to read based on users' interests;support users in discovering articles of interest from across the network of open access repositories
  • increase the visibility of content in open access repositories and journals
  • assist users in finding freely accessible copies of research papers that are often behind a paywall
  • provide an online interface offering valuable technical information and statistics to content providers

We aim to:

  • Support the right of citizens to access the results of research towards which they contributed by paying taxes
  • Provide support to both content consumers and content providers by working collaboratively with them
  • Contribute to a cultural change by promoting open access, a fast-growing movement for good
  • Make use of artificial intelligence and machine learning techniques to enrich and organise research content and support users in discovering knowledge of their interest

News

04 Dec 2025

Nancy Pontika


25 Sep 2025

Nancy Pontika


02 Jul 2025

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20 May 2025

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28 Apr 2025

Nancy Pontika


View all articles

Nambanoor Kunnath, S., Pride, D. and Knoth, P. (2023). Prompting Strategies for Citation Classification. In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23), 21-25 Oct 2023, Birmingham, UK. https://oro.open.ac.uk/91832/.

Gyawali, B., Anastasiou, L. and Knoth, P. (2020). Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings. In: 12th Language Resources and Evaluation Conference, 11-16 May 2020, Marseille, France. https://oro.open.ac.uk/70519/.

Pride, D. and Knoth, P. (2020). An Authoritative Approach to Citation Classification. In: ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL ’20), 1-5 Aug 2020, Virtual - China. https://oro.open.ac.uk/70520/.

Pride, D., Harag, J. and Knoth, P. (2019). ACT: An Annotation Platform for Citation Typing at Scale [JCDL Poster Presentation]. In: JCDL 2019 - ACM/IEEE-CS Joint Conference on Digital Libraries 2019, 2-6 Jun 2019, Urbana-Champaign, Illinois. https://oro.open.ac.uk/61631/.

Pride, D., Harag, J. and Knoth, P. (2019). ACT: An Annotation Platform for Citation Typing at Scale. In: JCDL 2019 - ACM/IEEE Joint Conference on Digital Libraries 2019, 2-6 Jun 2019, Urbana-Champaign, Illinois. https://oro.open.ac.uk/60670/.

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Knowledge Media Institute
The Open University
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