What others say about us

Enterprise companies using CORE

CORE data services power innovative applications delivered by independent businesses, many of which utilise cutting edge artificial intelligence and text and data mining techniques. The range of applications in which CORE is used includes use cases as divers as fact checking and detection of misinformation, analysing research trends, plagiarism detection, research impact evaluation, finding experts, academic search engines and literature based discovery.

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What companies say about us

Steven Hafif

Steven Hafif

CEO at Cypris

CORE has done a tremendous job of accumulating a highly relevant database of open access journals & they’ve already been phenomenal partners to work with. Using our resources in AI and data modeling we believe we’ll draw some interesting insights out of the data to help support our growing userbase.

Cypris
Cactus
Academia
Ezassi
Turnitin
Ontochem
Innovation Engineering

Academic institutions using CORE

Institutions use CORE in a variety of cases, for example to discover open access content, manage their repository content in CORE and offer recommendations of relevant research outputs searched by their users.

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What institutions say about us

Nicola Dowson

Nicola Dowson

Library Services Manager at Open University

CORE’s role in providing a unified search of repository content is a great tool for the researcher and extends the reach of the locally held content in our institutional repository, Open Research Online.

Open University
St. George's, University of London
Anglia Ruskin University
University of Sussex
Nottingham Trent University
ADRI - Arabic Digital Reform Institute
Apollo

Partner projects

CORE has created exciting partnerships with open access infrastructure and innovative open science projects. With these collaborations CORE has been extending and empowering both its own and partnering project tools.

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What partners say about us

Kuansan Wang

Kuansan Wang

Managing Director, MSR Outreach Academic Services

Microsoft partnered with CORE to link documents in the Microsoft Academic Graph with open access articles in CORE, as the datasets complement each other. The outcome is the world’s largest scholarly graph with both bibliographic information, including citations, and full texts of academic papers for machine processing.

Microsoft
IRIS AI
Open Science MOOC
OpenAIRE
Open Access Co-ordination Group
Research England
Metadata2020