An Austrian proposal for the Classification of Open Access Tuples (COAT) – Distinguish different Open Access types beyond colors
DOI:
https://doi.org/10.31263/voebm.v72i1.2276Keywords:
Open Access Monitoring, Open Access Definitions, Gold Open Access, Green Open AccessAbstract
In this article a model is described how Open Access definitions can be formed on the basis of objective criteria. The common Open Access definitions such as "gold" and "green" are not exactly defined. This becomes a problem as soon as one begins to measure Open Access, for example if the development of the Open Access share should be monitored. This was discussed in the working group on Open Access Monitoring of the AT2OA project and the present model was developed, which is based on 5 criteria with 4 characteristics: location, licence, version, embargo and conditions of the Open Access publication are taken into account. In the meantime, the model has also been tested in practice using R scripts, and the initial results are quite promising.
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References
Bosman J, Kramer B. (2018). Open access levels: a quantitative exploration using Web of Science and oaDOI data. PeerJ Preprints 6:e3520v1. https://doi.org/10.7287/peerj.preprints.3520v1
Danowski P, Ferus A, Hikl A, Kaiser O, McNeill G, Reding S, Schautz M, Zarka T, Zojer M (2018). Report on "Open Access Monitoring – Approaches and Perspectives" (2-Day-Workshop, 09–10 April 2018, Vienna). Zenodo. http://doi.org/10.5281/zenodo.2415894
Piwowar H, Priem J, Larivière V, Alperin JP, Matthias L, Norlander B, Farley A, West J, Haustein S. (2017). The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles. PeerJ Preprints 5:e3119v1. https://doi.org/10.7287/peerj.preprints.3119v1
Piwowar H, Priem J, Larivière V, Alperin JP, Matthias L, Norlander B, Farley A, West J, Haustein S. (2018). The state of OA: a large-scale analysis of the prevalence and impact of Open Access articles. PeerJ 6:e4375 https://doi.org/10.7717/peerj.4375
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