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...

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...

Second SDP 3C Shared Task – Evaluating Automated Methods for Citation Classification

The need for administering automated methods for evaluating research is gaining more attention lately. The primary motivation for this is to replace the regular, more exhausting exercises like peer-reviewing and the not so sophisticated, less accepted wiser ways of ranking research works like Impact Factors, which solely depends on the citation-frequency. One such proposition is the utilisation of other citation aspects, such as function or importance, for redefining the current research evaluation decision frameworks, The recently concluded 3C citation context classification shared task based on purpose and influence is one such effort aimed at providing a unifying platform for researchers in this domain, to push research further in this direction. Read the continuation on the Jisc Research blog. read more...