What drives academic data sharing?

PLoS One. 2015 Feb 25;10(2):e0118053. doi: 10.1371/journal.pone.0118053. eCollection 2015.


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 as knowledge commons, but research policies that better incentivise data sharing are needed to improve the quality of research results and foster scientific progress.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Academies and Institutes*
  • Humans
  • Information Dissemination* / ethics
  • Information Dissemination* / legislation & jurisprudence
  • Information Dissemination* / methods
  • Research Personnel
  • Research*
  • Surveys and Questionnaires

Grant support

This study was funded by the Deutsche Forschungsgemeinschaft (PI: Gert G. Wagner, DFG-Grant Number WA 547/6-1) and by the Alexander von Humboldt Institute for Internet and Society and the German Institute for Economic Research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.