I am currently working with Martin Klein, Matteo Cancellieri and Herbert Van de Sompel on a project funded by the European Open Science Cloud Pilot that aims to test and benchmark ResourceSync against OAI-PMH in a range of scenarios. The objective is to perform a quantitative evaluation that could then be used as evidence to convince data providers to adopt ResourceSync. During this work, we have encountered a problem related to the scalability of ResourceSync and developed a solution to it in the form of an On Demand Resource Dump. The aim of this blog post is to explain the problem, how we arrived to the solution and how the solution works.
EIFL’s invitation to CORE to take part in a workshop for researchers from developing countries pays dividends for participants and for CORE.
In June 2017, EIFL invited the global open access full text aggregator CORE to take part in an Open Science train-the-trainer course for universities and research institutions in EIFL partner countries.
Watch the videos recorded during the workshop and read more…
Solomon Mekonnen – Open Access Ethiopia
Zaituni Kaijage – Open Access Tanzania
by George Macgregor, Institutional Repository Coordinator, University of Strathclyde
This guest blog post briefly reviews why the CORE Recommender was quickly adopted on Strathprints and how it has become a central part of our quest to improve the interactive qualities of repositories.
Back in October 2016 my colleagues at the CORE Team released their Recommender plugin. The CORE Recommender plugin can be installed on repositories and journal systems to recommend similar scholarly content. On this very blog, Nancy Pontika, Lucas Anastasiou and Petr Knoth, announced the release of the Recommender as a:
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.
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.
It is intended for (possibly computationally intensive) data analysis. Here you can read the dataset description and the download page. If you need fresh data, and your requirements are not computationally intensive, you can also use our API.
* 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.
The CORE (COnnecting REpositories) project aims to aggregate open access research outputs from open repositories and open journals, and make them available for dissemination via its search engine. The project indexes metadata records and harvests the full-text of the outputs, provided that they are stored in a PDF format and are openly available. Currently CORE hosts around 24 million open access articles from 5,488 open access journals and 679 repositories.
Like in any type of partnership, the harvesting process is a two way relationship, were the content provider and the aggregator need to be able to communicate and have a mutual understanding. For a successful harvesting it is recommended that content providers apply the following best practices (some of the following recommendations relate generally to harvesting, while some are CORE specific):