A plea from CORE to Russian and Belarusian academic community to help stop the war in Ukraine

This blog post has been authored by Dr. Petr Knoth, CORE Head & Founder…

… with the kind support of everyone from the Ukrainian-based team: Kateryna, Viktoriia, Mariia, Valerii, Andrii, Iva, Konstantin and Anton, and

… with the support and proof-reading of the UK-based CORE team: Matteo, Nancy, David, Sam.

This post is our personal story of how members of the CORE team have been affected and caught up in the armed conflict in Ukraine. It is one of the many testaments to the implications of war and a plea to the Russian and Belarusian academic community to help stop this violence.  read more...

Iris.ai and CORE cooperate to build AI Chemist

CORE and Iris.ai are extremely pleased to announce the initiation of a new research collaboration funded by the Norwegian Research Council.

Discovering scientific insights about a specific topic is challenging, particularly in an area like chemistry which is one of the top-five most published fields with over 11 million publications and 307,000 patents. The team at Iris.ai have spent the last 5 years building an award-winning AI engine for scientific text understanding. Their patented algorithms for identifying text similarity, extracting tabular data, and creating domain-specific entity representations mean they are world leaders in this domain.  read more...

Using open access research in our battle against misinformation

Our society is facing significant challenges due to the widespread misinformation, in particular on social media, substantially influencing public opinion. As a result, we are seeing a lot of demand for innovative text processing methods to fact check and provide an automatic assessment of trustworthiness and credibility. Machine learning and natural language processing have started to be widely used to address this problem. 

While scientific papers have been traditionally seen as a source of mostly trustworthy information, their use within automated tools in the fight against misinformation, such as related to vaccine effectiveness or climate changes, has been rather limited. read more...

Open Access Helper gets CORE API v3 boost

We are always excited to announce new releases of tools that support Open Access and use the CORE services.

This time there is a release from our friends at the Open Access Helper. This is a tool that helps everyone discover a legal Open Access version of research outputs around the web. 

What is new with this version is the application’s ability to bring to researchers proactive notifications on their iPad and iPhone whenever they are browsing articles behind a paywall. 

We are really excited about this release because it is integrating our brand new CORE API (v3). read more...

Access the world’s research outputs through the CORE API

On Thursday 13th January 2022, Petr Knoth, Head of CORE and Matteo Cancellieri, Lead Developer, gave a webinar describing the new CORE APIv3 features. There were  72  attendees. In the first part, we introduced new features in the API, and the second part provided live coding examples followed by answering questions from the audience. 

Read about this webinar more on the Jisc Research blog.

Enjoy watching the recording of the webinar:

Webinar: Access the world’s research outputs through the CORE API

You can also find the slides presented at the webinar below. read more...

Partnership Announcement: Cypris and CORE

We’re delighted to announce a new partnership between CORE and Cypris, a leading AI-driven, market intelligence platform that connects research & development (R&D) teams with innovation data and trends in their field.

The partnership will provide Cypris with unlimited access to over 210 million open access articles to further enhance their platform and regularly add live market data to provide R&D teams with the most up-to-date research in their fields of interest.

Continue reading this news on the Jisc Research Blog. read more...

How does CORE substitute Microsoft Academic Graph?

The forest chatter has been clamorous since Microsoft’s announcement to retire Microsoft Academic (MAG) at the end of 2021. Like many others, at CORE, we have used MAG for a number of tasks including data quality enhancement and enrichment, to obtain citation data, for our research in semantic typing of citations and to enrich MAG and Microsoft Academic Search by supplying direct links to full-text content (in a similar way we do for PubMed).

Continue reading this blog post on the Jisc Research Blog. read more...

Partnership Announcement: ADRI and CORE

We’re delighted to announce a new partnership between CORE and Arabic Digital Reform Institute (ADRI), providing services to researchers to store, share and access Arabic academia online.

The partnership will provide ADRI with unlimited access to millions of open access articles to provide research platform and repository services to academics all over the world. 

The detailed information about this is available on the Jisc Research blog.

APIv3: Announcing a new API to access CORE data

Since the start (10 years ago!) CORE’s mission has been to aggregate and facilitate access to Open Access scientific research at an unprecedented scale to both humans and machines. To achieve this aim, we are always refining and improving our methods for access and use of the CORE data.

A key consideration in making improvements is that CORE users hail from many different backgrounds and are applying the CORE tools in a variety of use-cases. At last count, we had over 40 broad industry types (including academic research, education, publishing, software, and technology companies) applying the CORE tools to their work across the world. Applications of CORE tools and data are growing and constantly changing. read more...

CORE, the world’s largest collection of open access research papers, turns ten

It all started in 2010 when the then PhD student at the Knowledge Media Institute at the  Open University, Dr. Petr Knoth wanted to collect a large corpus of academic papers to explore related research content. It was a frustrating job as he realised that there not only wasn’t a readily available corpus of all research papers, but that collecting this information for machine processing was particularly difficult. While reading about Open Access, he came up with the idea to create a tool that harvests both metadata and full text from all research repositories on a global scale enabling unrestricted access to all content.  read more...