“The Coronavirus Open Citations Dataset curated by OpenCitations currently contains (as of 20 April 2020) information about 124,295 citations and about the 42,213 citing or cited articles involved in these citations. The full dataset, used for the visualization below, is stored in JSON format on Zenodo under a Creative Commons CC0 waiver, to enable anyone to use these data for any purpose:…”
“The French National Fund for Open Science (FNSO) has decided to support OpenCitations, PKP, and DOAB as part of SCOSS, the Global Sustainability Coalition for Open Science Services.
FNSO has identified OpenCitations as an infrastructure disseminating bibliographic and citation metadata in open access with a level of quality and coverage that provides a workable, free and open alternative to the academic community’s current dependency on proprietary tools, therefore freeing up possibilities for citation analysis, promoting the evolution of bibliometric indicators and broadening knowledge of science.
The FNSO is contributing € 250,000, which is 16.3% of the amount that was requested under SCOSS and is committing to a political and technical partnership with OpenCitations….”
“COCI is our first OpenCitations Index of open citations, in which we have applied the concept of citations as first-class data entities, each identified using a unique persistent Open Citation Identifier (OCI), to index the contents of one of the major databases of open scholarly citation information, namely Crossref, and to render and make available this information in machine-readable RDF.
We are now proud to announce the third release of COCI, which contains more than 624 million DOI-to-DOI citation links coming from both ‘the ‘Open’ and the ‘Limited’ sets of Crossref reference data. This represents an increase of 40% in the number of indexed citations, compared with the second release of COCI on 12th November 2018, which indexed more than 445 million citations. The data model used for this third release of COCI is the updated revision of the OpenCitation Data Model, published on 8 November 2019 and available at https://doi.org/10.6084/m9.figshare.3443876.
This new release of COCI has been created using new software developed specifically for this purpose, which is available on our GitHub repository under an open ISC license. This software automates the process of creating an OpenCitations Index compliant with the OpenCitations Data Model and creates the citation data and related provenance information in three different formats: CSV, N-Triples (RDF), and Scholix. The support for Scholix – a high-level interoperability framework supported by Crossref, DataCite, Europe PubMed Central, OpenAIRE and others – has recently been added to provide an additional format for the exchange of information about the links between scholarly literature and datasets….”
Abstract: In this paper, we analyse the current availability of open citations data in one particular dataset, namely COCI (the OpenCitations Index of Crossref open DOI-to-DOI citations; this http URL) provided by OpenCitations. The results of these analyses show a persistent gap in the coverage of the currently available open citation data. In order to address this specific issue, we propose a strategy whereby the community (e.g. scholars and publishers) can directly involve themselves in crowdsourcing open citations, by uploading their citation data via the OpenCitations infrastructure into our new index, CROCI, the Crowdsourced Open Citations Index.
“We are looking for a post-doctoral computer scientist / research engineer specifically to achieves the aforementioned objectives. This post-doctoral appointment will start the 1st of March 2019. We seek a highly intelligent, skilled and motivated individual who is expert in Python, Semantic Web technologies, Linked Data and Web technologies. Additional expertise in Web Interface Design and Information Visualization would be highly beneficial, plus a strong and demonstrable commitment to open science and team-working abilities….”
“The Initiative for Open Citations (I4OC) aims to allow anyone to access science papers’ reference lists and to build analytical services on top of that raw data. Started last year by the Wikimedia Foundation in San Francisco, California and five other partner organizations, I4OC announced at its official launch on 6 April that 29 organizations, including some of the world’s largest scientific publishers, have now agreed to openly release citation data.”