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

David Pride

David Pride

David Pride

David Pride

Rachel Coignac-Smith

N. Kunnath, S., Pride, D., Gyawali, B. and Knoth, P. (2020) Overview of the 2020 WOSP 3C Citation Context Classification Task, Workshop: The 8th International Workshop on Mining Scientific Publications (WOSP), 2020 at The ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2020, Wuhan, China, Association for Computational Linguistics

Pride, D. and Knoth, P. (2020) An Authoritative Approach to Citation Classification, ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL '20), Virtual - China

Pride, D. and Knoth, P. (2018) Peer review and citation data in predicting university rankings, a large-scale analysis, 22nd International conference on Theory and Practice of Digital Libraries (TPDL2018), Porto, Portugal Lecture Notes in Computer Science, Springer - (Best Paper Award)

Knoth, P., Anastasiou, L., Pearce, S. and Pontika, M. (2018) Towards a Global Comprehensive Dataset of Open Access Papers for Text Analytics, Open Repositories 2018, Bozeman, Montana

Shearer, K., Rodrigues, E., Bollini, A., Cabezas, A., Castelli, D., Carr, L., Chan, L., Humphrey, C., Johnson, R., Knoth, P., Manghi, P., Matizirofa, L., Perakakis, P., Schirrwagen, J., Smith, T., Sompel, H., Walk, P., Wilcox, D. and Yamaji, K. (2018) Next generation repositories: Scaling up repositories to a global knowledge commons, Open Repositories 2018, Bozeman, Montana