Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/97160 
Year of Publication: 
2014
Series/Report no.: 
SOEPpapers on Multidisciplinary Panel Data Research No. 655
Publisher: 
Deutsches Institut für Wirtschaftsforschung (DIW), Berlin
Abstract: 
Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher's point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded a knowledge commons, but research policies that better incentivize data sharing are needed to improve the quality of research results and foster scientific progress.
Subjects: 
Data Sharing
Academia
Systematic Review
Research Policy
Knowledge Commons
Crowd Science
Commons-based Peer Production
SOEP
JEL: 
C81
C82
D02
H41
L17
Z13
Document Type: 
Working Paper

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