Abstract: Due
to expected benefits such as citizen participation and innovation, the
release of Public Sector Information as open data is getting increased
attention on various levels of government. However, currently data
release by governments is still novel and there is little experience and
knowledge thus far about its benefits, costs and barriers. This is
compounded by a lack of understanding about how internal processes
influence data release. Our aim in this paper is to get a better
understanding of these processes and how they influence data release,
i.e., to find determinants for the release of public sector information.
For this purpose, we conducted workshops, interviews, questionnaires,
desk research and practice based cases in the education program of our
university, involving six local public sector organizations. We find
that the way data is stored, the way data is obtained and the way data
is used by a department are crucial indicators for open data release. We
conclude with the lessons learned based on our research findings. These
findings are: we should take a nuanced approach towards data release,
avoid releasing data for its own sake, and take small incremental steps
to explore data release.
Read and/or download the full article at doi:10.1016/j.giq.2014.01.003
Read and/or download the full article at doi:10.1016/j.giq.2014.01.003
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