Afraid of Scooping

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http://hdl.handle.net/10138/195064

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Laine , H 2017 , ' Afraid of Scooping : Case Study on Researcher Strategies against Fear of Scooping in the Context of Open Science ' Data Science Journal , vol 16 , 29 . DOI: 10.5334/dsj-2017-029

Title: Afraid of Scooping;
Case Study on Researcher Strategies against Fear of Scooping in the Context of Open Science
Author: Laine, Heidi
Contributor: University of Helsinki, Department of Political and Economic Studies
Belongs to series: Data Science Journal
ISSN: 1683-1470
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 case study evidence, focusing on intrinsic goals, like new knowledge and bringing about ethical reform, instead of external goals such as publications, supports openness. Understanding fundaments of science, philosophy of science and research ethics, can also have a beneficial effect on willingness to share. Whether there are aspects in open sharing that makes it seem riskier from the point of view of certain demographical groups within research community, such as women, could be worth closer inspection.
Peer review status: Peer reviewed
URI: http://hdl.handle.net/10138/195064
Date: 2017-06-15
Subject: 5202 Economic and Social History
research integrity
open science
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