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.
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.
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:
CORE is continuously growing. This month we have reached 75 million metadata and 6 million full of text scientific research articles harvested from both open access journals and repositories. This past February we reported 66 million metadata and 5 million full text articles, while at the end of December 2016 we had just over 4 million full text. This shows our continuous commitment to bring to our users the widest possible range of Open Access articles.
To celebrate this milestone, we gathered the knowledge of our data scientists, programmers, researchers, and designers to illustrate our portion of metadata and full text with a less traditional (sour apple) “pie chart”.
An online editing and proofreading company, Scribendi, has recently put together a list of top 21 freely available online databases. It is a pleasure to see CORE listed as Number 1 resource in this list. CORE has been included in this list thanks to its large volume of open access and free of cost content, offering 66 million of bibliographic metadata records and 5 million of full-text research outputs. Our content originates from open access journals and repositories, both institutional and disciplinary and can be accessed via our search engine. In addition, we also offer an API and Datasets for programmable access to this content, enabling the development of new artificial intelligence-based applications for scientists and for carrying out text and data mining of scientific literature.
CORE is thrilled to announce that it currently provides 5 millions of open access full-text papers.
“In the last year, we have managed to scale up our harvesting process. This enabled us to significantly increase the amount of open access content we can offer to our users. With more and more open access content being made available by data providers, thanks to recent open access policies, CORE now also captures and provides access to a higher percentage of global research literature ”, says CORE’s founder, Dr Petr Knoth.
The past year has been productive for the CORE team; the number of harvested repositories and our open access content, both in metadata and full-text, has massively increased. (You can see last year’s blog post with our 2015 achievements in numbers here.)
There was also progress with regards to our services; the number of our API users was almost doubled in 2016, we have now about 200 registered CORE Dashboard users, and this past October we released a new version of our recommender and updated our dataset.
* This post was authored by Nancy Pontika, Lucas Anastasiou and Petr Knoth.
The CORE team is thrilled to announce the release of a new version of our recommender; a plugin that can be installed in repositories and journal systems to suggest similar articles. This is a great opportunity to improve the functionality of repositories by unleashing the power of recommendation over a huge collection of open-access documents, currently 37 million metadata records and more than 4 million full-text, available in CORE.
An investigation by Research Support staff at Brunel University London considers the role CORE might play in supporting funder compliance and the wider transition to open scholarship…
In 2001, the Budapest Open Access Initiative (BOAI) brilliantly and simply encapsulated the aspirational qualities of ‘openness’ that funders, scholars, institutions, services and publishers have since driven forward. This simplicity has been lost in the detail of implementing funder mandates over copyright restrictions, resulting in significant administrative overheads to support staff whose primary role is to smoothly progress a cultural change. Although the momentum is undeniable, the transition to open scholarship is now fraught with complexity.
* Post updated on June 20th and June 23rd with links to presentations.
In this year’s Open Repositories 2016, an international conference addressed to the scholarly communications community with a focus on repositories, open access, open data and open science, CORE had 6 items accepted; 1 Paper, 1 Workshop, 1 Repository Rave presentation, 1 Poster and 2 showcases in the Developer Track and Ideas Challenge. The titles and summaries of our accepted proposals are:
Paper: Exploring Semantometrics: full text-based research evaluation for open repositories / Knoth, Petr; Herrmannova, Drahomira
Over the recent years, there has been a growing interest in developing new scientometric measures that could go beyond the traditional citation-based bibliometric measures. This interest is motivated on one side by the wider availability or even emergence of new information evidencing research performance, such as article downloads, views and twitter mentions, and on the other side by the continued frustrations and problems surrounding the application of citation-based metrics to evaluate research performance in practice. Semantometrics are a new class of research evaluation metrics which build on the premise that full text is needed to assess the value of a publication. This talk will present the results of an investigation into the properties of the semantometric contribution measure (Knoth & Herrmannova, 2014). We will provide a comparative evaluation of the contribution measure with traditional bibliometric measures based on citation counting. Our analysis also focuses on the potential application of semantometric measures in large databases of research papers.
Every month Samuel Pearce, one of the CORE developers, collects the CORE statistics – perhaps a boring task, but useful for us to know where we stand as a service. A very brief report of the accumulative statistics of all years that CORE operates as a project, 2011 – 2015, are as follows.
Users can retrieve from CORE,
- 25,363,829 metadata records and
- 2,954,141 open access full-text records,
from 689 repositories (institutional and subject) and 5,488 open access journals. In addition, 122 users have access to the CORE API.
In the playful Christmas spirit we attempted this time to have some fun with the statistics.