publication . Article . Preprint . Other literature type . 2017

Afraid of Scooping – Case Study on Researcher Strategies against Fear of Scooping in the Context of Open Science

Heidi Laine;
Open Access
  • Published: 15 Jun 2017 Journal: Data Science Journal, volume 16 (eissn: 1683-1470, Copyright policy)
  • Publisher: Ubiquity Press, Ltd.
  • Country: Finland
Abstract
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. Based on the c...
Subjects
free text keywords: Scooping, Research Misconduct, History of Science, Social Media, NMR lipids, Computer Science (miscellaneous), Computer Science Applications, Community or, Philosophy of science, Instrumental and intrinsic value, Open science, Research ethics, Openness to experience, Data mining, computer.software_genre, computer, Open collaboration, Open data, Computer science, social science, case study, research integrity, Science (General), Q1-390, 5202 Economic and Social History, social science; case study; research integrity; research ethics; open science; open data
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publication . Article . Preprint . Other literature type . 2017

Afraid of Scooping – Case Study on Researcher Strategies against Fear of Scooping in the Context of Open Science

Heidi Laine;