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handle: 10138/195064
The risk of scooping is often used as a counter argument for open science, especially open data. In this case study I have examined openness strategies, practices and attitudes in two open collaboration research projects created by Finnish researchers, in order to understand what made them resistant to the fear of scooping. The radically open approach of the projects includes open-by-default funding proposals, co-authorship and community membership. Primary sources used are interviews of the projects founding members. The analysis indicates that openness requires trust in close peers, but not necessarily in research community or society at large. Focusing on intrinsic goals, such as new knowledge and bringing about ethical reform, instead of publications, supports openness. Understanding fundaments of science, such as philosophy and science and research ethics can also have a beneficial effect. Whether there are aspects in open sharing that makes it seem riskier from the point of view of certain demographical groups, such as women, could be worth more studying.
Science (General), research ethics, research integrity, open data, Open Collaboration, 5202 Economic and Social History, History of Science, case study, Q1-390, Open Science, social science, Social Science, open science, Research Misconduct, NMR lipids, Scooping, Social Media, Research Integrity
Science (General), research ethics, research integrity, open data, Open Collaboration, 5202 Economic and Social History, History of Science, case study, Q1-390, Open Science, social science, Social Science, open science, Research Misconduct, NMR lipids, Scooping, Social Media, Research Integrity
| selected citations These citations are derived from selected sources. 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). | 31 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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