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The COKI Open Access Dataset measures open access performance for 221 countries and 14,477 institutions and is available in JSON Lines format. The data is visualised at the COKI Open Access Dashboard: https://open.coki.ac/. The COKI Open Access Dataset is created with the COKI Academic Observatory data collection pipeline, which fetches data about research publications from multiple sources, synthesises the datasets and creates the open access calculations for each country and institution. Each week a number of specialised research publication datasets are collected. The datasets that are used for the COKI Open Access Dataset release include Crossref Metadata, OpenAlex, Unpaywall and the Research Organization Registry. After fetching the datasets, they are synthesised to produce aggregate time series statistics for each country and institution in the dataset. The aggregate timeseries statistics include publication count, open access status and citation count. See https://open.coki.ac/data/ for the dataset schema. A new version of the dataset is deposited every week. Code The COKI Academic Observatory data collection pipeline is used to create the dataset. The COKI OA Website Github project contains the code for the web app that visualises the dataset at open.coki.ac. It can be found on Zenodo here. License COKI Open Access Dataset © 2022 by Curtin University is licenced under CC BY 4.0. Attributions This work contains information from: OpenAlex which is made available under the CC0 license. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. Unpaywall. The Unpaywall Data Feed is used under license. Data is freely available from Unpaywall via the API, data dumps and as a data feed. Research Organization Registry which is made available under a CC0 licence.
The Curtin Open Knowledge Initiative (COKI) is a strategic initiative of the Research Office at Curtin, the Faculty of Humanities, School of Media, Creative Arts and Social Inquiry and the Curtin Institute for Computation, with additional support from the Mellon Foundation and the Arcadia Fund, a charitable fund of Lisbet Rausing and Peter Baldwin.
open access, data, research outputs, dataset, countries, regions, institutions, open access publications, open access performance, universities, companies
open access, data, research outputs, dataset, countries, regions, institutions, open access publications, open access performance, universities, companies
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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