Yesterday (November 23rd 2017) I was working with Daniel Ecer of eLife (<d.ecer@elifesciences.org)> to dig some hard facts out of the analyses he undertook on data he downloaded from Crossref in September 2017 (Ecer, 2017).  In this, the first of two related posts, I report the results for all publishers . **The analyses show that, of the 33,672,763 journal articles documented in Crossref that have accompanying

The OpenCitations Enhancement Project funded by Sloan The Alfred P. Sloan Foundation, which funds research and education in science, technology, engineering, mathematics and economics, including a number of key technology projects relating to scholarly communication, has agreed to fund The OpenCitations Enhancement Project , a new project to develop and enhance the OpenCitations Corpus.

This post introduce two exemplar queries for interrogating the OpenCitations Corpus.

OpenCitations are pleased to announce the launch of the Initiative for Open Citations (I4OC) , a fresh momentum in the scholarly publishing world to open up data on the citations that link research publications.  OpenCitations are proud to be a founder of I4OC, and we encourage those remaining publishers whose journal article reference lists are still closed to embrace this sea change in attitude towards open citation data.

In October 2015, I asked Silvio Peroni, my long-term colleague in the development of the SPAR Ontologies, to become Co-Director of the Open Citations Project, and to work with me in taking forward the prototype Open Citations Corpus (OCC), originally developed at the University of Oxford with the support of Jisc, with the aim of developing it into a production service of real use to scholars.

Last September, I attended the Fifth Annual Conference on Open Access Scholarly Publishing, held in Riga, at which I had been invited to give a paper entitled The Open Citations Corpus – freeing scholarly citation data .  A recording of my talk is available here, and my PowerPoint presentation is separately available here.

Ongoing work on the Open Citations extensions project is now reaching the point of visualising – at very much a prototype level at this stage – the outputs of our earlier efforts to import and index the PubMed Central Open Access subset and arXiv. Earlier in this project I asked David to specify a list of questions that he thought researchers might hope to answer by querying our Open Citations Corpus;

As part of the Open Citations project, we have been asked to review and improve the process of importing data into the Open Citations Corpus, taking the scripts from the initial project as our starting point. The current import procedure evolved from several disconnected processes and requires running multiple command line scripts and transforming the data into different intermediate formats.

The first of six blog posts about libraries and linked data, bearing this title, is to be found at http://semanticpublishing.wordpress.com/2013/03/01/lld1-what-are-linked-data/. A draft of that post, that erroneously appeared here in this blog, has been removed.

As part of our work on the Open Citations extensions project, I have recently been doing one of my favourite things – namely indexing large quantities of data then exploring it. On this project we are interested in the PubMed Central Open Access subset, and more specifically, we are interested in what we can do with the citation data contained within the records that are in that subset – because, as they are open access, that citation data is