CORE becomes the world’s largest open access aggregator (or how about them stats 2018 edition)

This was another productive year for the CORE team; our content providers have increased, along with our metadata and full text records. This makes CORE the world’s largest open access aggregator. More specifically, over the last 3 months CORE had more than 25 million users, tripling our usage compared to 2017. According to Alexa CORE is now the 5,448th most used website globally. (Alexa rank is calculated from a combination of daily visitors and page views on a website over a 3-month period.) To put this into perspective, this shows that CORE is by far one of the most used Open Access Infrastructure services globally and its usage is higher than that of many large institutions. read more...

CORE’s Open Access content has reached the Moon! (or how about them stats 2017 edition)

For yet another year (see previous years 2016, 2015) CORE has been really productive; the number of  our content providers has increased and we have now more open access full text and metadata records than ever.

Our services are also growing steadily and we would like to thank the community for using the CORE API and CORE Datasets.

We also offer other services, such as the CORE Repositories Dashboard, CORE Publisher Connector and the CORE Recommender. We received great feedback with regards to the CORE Recommender, with George Macgregor, Institutional Repository Manager at Strathclyde University, reporting: read more...

Introducing the CORE interface for the R programming language

Update 19/06/2017: The CORE package has been renamed from “rcore” to “rcoreoa”.

The R programming language has come a long way from being mainly a data analysis powerhouse (R is a descendant of Bell Lab’s S language) to a general purpose language with the powerful features that we know today.

CORE and R have not been total strangers; the first release of the “rcore” package in February 2016 from rOpenSci provided the R users with an interface for CORE’s API. rOpenSci works towards providing access to data repositories through R and promotes maintainable and reproducible tools for scientific methods and analyses. read more...