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Data sharing as social dilemma: Influence of the researcher’s personality

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  • Stephanie B Linek
  • Benedikt Fecher
  • Sascha Friesike
  • Marcel Hebing

Abstract

It is widely acknowledged that data sharing has great potential for scientific progress. However, so far making data available has little impact on a researcher’s reputation. Thus, data sharing can be conceptualized as a social dilemma. In the presented study we investigated the influence of the researcher's personality within the social dilemma of data sharing. The theoretical background was the appropriateness framework. We conducted a survey among 1564 researchers about data sharing, which also included standardized questions on selected personality factors, namely the so-called Big Five, Machiavellianism and social desirability. Using regression analysis, we investigated how these personality domains relate to four groups of dependent variables: attitudes towards data sharing, the importance of factors that might foster or hinder data sharing, the willingness to share data, and actual data sharing. Our analyses showed the predictive value of personality for all four groups of dependent variables. However, there was not a global consistent pattern of influence, but rather different compositions of effects. Our results indicate that the implications of data sharing are dependent on age, gender, and personality. In order to foster data sharing, it seems advantageous to provide more personal incentives and to address the researchers’ individual responsibility.

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  • Stephanie B Linek & Benedikt Fecher & Sascha Friesike & Marcel Hebing, 2017. "Data sharing as social dilemma: Influence of the researcher’s personality," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-24, August.
    • Handle: RePEc:plo:pone00:0183216
    DOI: 10.1371/journal.pone.0183216
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    References listed on IDEAS

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    12. Benedikt Fecher & Sascha Friesike & Marcel Hebing & Stephanie Linek & Armin Sauermann, 2015. "A Reputation Economy: Results from an Empirical Survey on Academic Data Sharing," Discussion Papers of DIW Berlin 1454, DIW Berlin, German Institute for Economic Research.
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    Cited by:

    1. KWON Seokbeom & MOTOHASHI Kazuyuki, 2020. "Incentive or Disincentive for Disclosure of Research Data? A Large-Scale Empirical Analysis and Implications for Open Science Policy," Discussion papers 20058, Research Institute of Economy, Trade and Industry (RIETI).
    2. Janan J Dietrich & Stefanie Hornschuh & Mamakiri Khunwane & Lerato M Makhale & Kennedy Otwombe & Cecilia Morgan & Yunda Huang & Maria Lemos & Erica Lazarus & James G Kublin & Glenda E Gray & Fatima La, 2020. "A mixed methods investigation of implementation barriers and facilitators to a daily mobile phone sexual risk assessment for young women in Soweto, South Africa," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-20, April.

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