Exploring the determinants of publication of scientific data in open data initiative

  • Authors:
  • Djoko Sigit Sayogo;Theresa A. Pardo

  • Affiliations:
  • Center for Technology in Government, Albany - NY;Center for Technology in Government, Albany - NY

  • Venue:
  • Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance
  • Year:
  • 2011

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Abstract

This research provides a preliminary analysis of determinants of the likelihood of researchers to publish their research datasets online. The data is derived from a preliminary survey conducted as part of the DataONE project; an international federated data repository of ecological data. The survey of 1,329 researchers was conducted by the Usability and Assessment Working Group of DataONE from October 2009 to July 2010. The analysis of the data is threefold, namely: visualization of a 2-mode network, descriptive statistics, and ordered logistic regression. The visualization of the affiliated network shows a disconnected access pattern. With the majority of researchers accessing one database and only a few connecting or accessing more than one database. The results of the survey using descriptive and inferential statistics pointed at two key determinants of publishing research datasets online, namely: data management and attribution to the datasets owner. The importance of data management manifests on two ways, the significant of data management skills and organizational support for data management.