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.
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.
Interested in how can CORE support your business?Get in touch
What companies say about us
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.
Interested in using CORE at your institution?Sign in to our services for free
What institutions say about us
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.
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.
Interested in becoming a partner?Get it touch today
What partners say about us
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.