Presentation on my Master's Thesis Project at the Open Data Research Symposium 2016, Madrid.
This work is licensed under a Creative Commons Attribution 4.0 International License.
to go local” (World Wide Web Foundation, 2015) ◦ … and research should follow! ◦ National indicators flatten diversity and hide local talent. • No research about Italy and only one study about France. • Combine available literature (high level, abstract) to anecdotes from local experiences (practical but not generalizable). • Collect know-how about how difficulties were addressed. World Wide Web Foundation, 2015. Open Data Barometer (2nd Edition). URL (accessed 6.18.15).
Dosi, 1995): “Routines are crucial (although not exclusive) repositories of knowledge.” • Inherently collective • Double nature Partial tacitness hinders diffusion of superior organizational forms ⇒ Heterogenous performance across PAs Coriat, B., Dosi, G., 1995. Learning How to Govern and Learning How to Solve Problems: On the Co-Evolution of Competences, Conflicts and Organizational Routines. URL
to cognitive resources (Simon, 1955). May not be the absolute best choice as actors do not know the probabilities of all outcomes and possess only limited memory. Internal resistance to OGD: • Insufficient data skills • Lack of resources (money and time) • Unwillingness to change one’s habits Simon, H.A., 1955. A Behavioral Model of Rational Choice. Quarterly Journal of Economics 69, 99–118.
an information polity (Helbig et al., 2012): “A collection of stakeholders, data sources, data resources, information flows, and governance relationships involved in the provision and use of government-held and non governmental data sources.” • Knowledge stocks • Information flows • Feedback loops (reinforcing v. balancing) Helbig, N.C., Cresswell, A.M., Burke, G.B., Luna-Reyes, L., 2012. The Dynamics of Opening Government Data.
socio-technical systems - Martin (2014) on OGD. Martin, C.J., 2014. Barriers to the Open Government Data Agenda: Taking a Multi-Level Perspective. Policy and Internet 6, 217–240. doi:10.1002/1944-2866.POI367
range of roles and departments within each PA. Ready-for-release data requires conscious reflection ⇒ Profound restructuring of routines and habits ⇒ Strong resistance! Both employees and managers satisfy. But increased dialogue can lead to more efficient organizations.
data team / Regular meetings / Ongoing training ◦ Updated directives now address many of the issues found in this research. ◦ Implementation is a different story. • More research ◦ Case studies: cost-benefit analysis of novel data-management models ◦ Guideline on data sharing across agencies ◦ Measure impact on a local scale • Perspective of users (future research) ◦ Data catalogs ◦ Signal mistakes / meaning conflicts / adverse consequences ◦ Promotion and training
online.. 2. ..under open license.. 3. ..machine-readable.. 4. ..in open-format.. 5. ..use URIs.. 6. ..and linkes to other data.. 7. ..at no cost.. 8. ..available in bulk.. 9. ..on a timely and up to date basis.. 10. ..with complete meta-data.. 11. ..ready-for-release.. 12. ..historically complete.. 13. ..and allow for user feedback. Tim Berners Lee Open Knowledge Foundation Me