Open access at the national level: A comprehensive analysis of publications by Finnish researchers

Open access (OA) has mostly been studied by relying on publication data from selective international databases, notably Web of Science (WoS) and Scopus. The aim of our study is to show that it is possible to achieve a national estimate of the number and share of OA based on institutional publication...

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Bibliographic Details
Published in:Quantitative science studies 2020-12, Vol.1 (4), p.1396-1428
Main Authors: Pölönen, Janne, Laakso, Mikael, Guns, Raf, Kulczycki, Emanuel, Sivertsen, Gunnar
Format: Article
Language:English
Subjects:
bibliographic data
Bibliometrics
Data collection
data quality
Information sources
Information systems
Languages
Literature reviews
Open access
Publication output
Researchers
Scholarly communication
Science
science policy
Subscriptions
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Summary:Open access (OA) has mostly been studied by relying on publication data from selective international databases, notably Web of Science (WoS) and Scopus. The aim of our study is to show that it is possible to achieve a national estimate of the number and share of OA based on institutional publication data providing a comprehensive coverage of the peer-reviewed outputs across fields, publication types, and languages. Our data consists of 48,177 journal, conference, and book publications from 14 Finnish universities in 2016–2017, including information about OA status, as self-reported by researchers and validated by data-collection personnel through their Current Research Information System (CRIS). We investigate the WoS, Scopus, and DOI coverage, as well as the share of OA outputs between different fields, publication types, languages, OA mechanisms (gold, hybrid, and green), and OA information sources (DOAJ, Bielefeld list, and Sherpa/Romeo). We also estimate the role of the largest international commercial publishers compared to the not-for-profit Finnish national publishers of journals and books. We conclude that institutional data, integrated at national and international level, provides one of the building blocks of a large-scale data infrastructure needed for comprehensive assessment and monitoring of OA across countries, for example at the European level.
ISSN:2641-3337
2641-3337
DOI:10.1162/qss_a_00084