December 2023

CORE introduces comprehensive new guide for Data Providers

For a data provider, being indexed by CORE is a straightforward process as indexing is done via OAI-PMH which is a standard protocol for repository interoperability. Most common repository platforms such as EPrints, DSpace or Open Journal Systems (OJS) support OAI-PMH. There are however several additional stages that can be undertaken to ensure the repository is best configured to enable CORE to index the repository’s content to maximum effect.

In an ongoing effort to help our Data Providers, CORE has introduced a detailed new guide that provides a wealth of information for repository managers and others. The new guide covers everything including how the repository should be configured for OAI-PMH. It is, sadly, a fairly common problem that the OAI-PMH endpoint of a repository is misconfigured or not functional. This can occur even when other functionalities of the repository appear to be working without issues. This has a huge impact on how visible the repository is to the outside world, and subsequent ramifications for the discoverability of its content. read more...

CORE presents at UKRI workshop on research article PIDs and their role in the UKRI OA policy

In November, there was a whole-day workshop held at the headquarters of United Kingdom Research and Innovation (UKRI) in London on the topic of article-level persistent identifiers (PIDs) in the context of the UKRI OA Policy. There were representatives from HEIs, UKRI, and scholarly services providers, including Crossref and Cosector (host repositories). Professor Petr Knoth, together with Dr George Macgregor from the University of Glasgow, gave a presentation on the use of article-level identifiers in repositories. read more...

CORE celebrates PhD. viva success for Suchetha Nambanoor-Kunnath

The whole CORE team were delighted last week when our very own Suchetha Nambanoor-Kunnath successfully defended her PhD thesis, titled: “Language Models for Citation Classification”. Her PhD topic focused on large language models for citation classification and how this can impact several areas including research evaluation, literature discovery and summary generation.

Suchetha’s panel was chaired by Prof. Bart Rienties, while Professors Enrico Motto, from KMi, and Silvio Peroni, from the University of Bologna, were her two examiners. Prof. Silvio Peroni commented that he was particularly impressed with the literature review, which was published as a stand-alone piece of work in the Journal of Qualitative Scientific Studies this past December. read more...