Introduction: Open access publishing may be considered just the first, yet an important, step towards research openness [ 1]. Open access has raised also some unwanted side effects like predatory journals and very high article processing charges [ 2]. We argue that a really open science infrastructure will help to combat these phenomena and will help to enhance quality of science publishing. In Finland, the Federation of Finnish Learned Societies (TSV) and the national Open Science and Research (OScaR) Coordination support and coordinate the efforts of the scientific community for developing open science. OScaR aims to integrate open science into the Finnish research infrastructure. In this poster, we highlight actions that promote quality of scientific publication. Infrastructure: TSV has developed several services for open science. The publishing services journal.fi and edition.fi provide a free platform for open access journals and books. Most journals published in the service follow the diamond open access principle i.e., they are free for both readers and authors. The platforms also developed technical standards for publishing e.g., metadata connections to major databases. TSV distributes Finnish state support for science publishing, which requires at least green open access (self-archiving) of the journals supported. TSV also developed expert-based evaluation of journals (JUFO) [ 3], and a peer-review label, which the publishers may use in their websites, articles and books as a certificate of the quality of peer-review [ 4]. Open data: Opening of research data, materials and methods makes the full evaluation of preprints, manuscripts and published science possible. Reproduction is the ultimate quality control of published science. However, a traditional journal article is hardly reproducible without opening of the data and codes used for data analyses [ 5]. Data opening also makes reuse of data and meta analyses possible. Recent developments in the field of open data by Finnish OScaR include application guidelines for FAIR data principles, outline of a Data Stewardship training program, a National Policy for Open Research Methods, including Open Software and Open Research Infrastructures and a Policy for Open Scholarship [ 6].
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