Participatory Data Gathering for Public Reuse Nathalie Stembert 1 , Peter Conradie 1 , Ingrid Mulder 1,2 , and Sunil Choenni1 1,3 1. Creating 010, Rotterdam University of Applied Sciences ([email protected], [email protected]) 2. ID-StudioLab, Delft University of Technology ([email protected]) 3. Research and Documentation Centre, Ministry of Justice, The Netherlands ([email protected]) Lessons Learned from Traditional Initatives
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Participatory Data Gathering for Public Sector Reuse: Lessons Learned from Traditional Initiatives
Local governments are increasingly looking for new ways to involve citizens in policy and decision-making, for example by combining public sector data sources with data gathered by citizens. Several examples exist of data gathering where personal mobile devices act as data collectors. While these efforts illustrate the technical capability of data sourcing, they neglect the value of local knowledge where people use their senses to capture and interpret data. Traditional data gathering initiatives, however, exploit this local knowledge to inform policy makers, e.g., neighborhood policing. To understand data gather-ing processes of these traditional data gathering initiatives, three cases are ex-amined. We analyze these cases, focusing on the various elements they contain, concluding how digital data gathering can be informed by these traditional vari-ants, concerning what the benefits of using digital means can be for data gather-ing and how traditional initiatives ensure data re-use by the public sector.
Paper presented at the IFIP EGOV Conference 2013. Paper available here: http://link.springer.com/chapter/10.1007/978-3-642-40358-3_8
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Participatory Data Gathering for Public Reuse
Nathalie Stembert1, Peter Conradie1, Ingrid Mulder1,2, and Sunil Choenni11,3
3. Research and Documentation Centre, Ministry of Justice, The Netherlands ([email protected])
Lessons Learned from Traditional Initatives
Introduction
Introduction
Digital means that enable people to passively gather data
are emerging, among others to map noise pollution or
indicate quality of roads or congestion
Maisonneuve, N., Stevens, M., Ochab, B.: Participatory noise pollution monitoring using mobile phones. Information Polity. 15, 51–71 (2010). Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H.: The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring. MobiSys 2008 (2008). Savage, N.: Cycling through data. Communications of the ACM. 53, 16 (2010). Image source: http://www.flickr.com/photos/johnkarakatsanis/8551270040
Beneficial for data quality, non comparibility of data, logistical issues
Gouveia, C., Fonseca, A., Câmara, A., Ferreira, F.: Promoting the use of environmental data collected by concerned citizens through information and communication technologies. Journal of environmental management. 71, 135–54 (2004). Image Source: http://www.flickr.com/photos/tronixstuff/4524900783
Introduction
Neglects qualitative information embedded in communities
Image Source: http://www.flickr.com/photos/kheelcenter/5279081507 Coleman, S., Gøtze, J.: Bowling Together: Online Public Engagement in Policy Deliberation Online Public Engagement in Policy Deliberation. (2001). Corburn, J.: Bringing Local Knowledge into Environmental Decision Making Improving Urban Planning for. 420–433 (2003). Corburn, J.: Community knowledge in environmental health science: co-producing policy expertise. Environmental Science & Policy. 10, 150–161 (2007). Fischer, F.: Citizens, experts, and the environment: The politics of local knowledge. Duke University Press (2000). Stokes, P., Havas, M., Brydges, T.: Public participation and volunteer help in monitoring programs: An assessment. Environmental Monitoring and Assessment. 15, 225–229 (1990).
How can digital data gathering processes benefit from traditional data gathering initiatives?
Data Recipients Municipality, Local police, Housing corporation
Local residents, Municipality, Housing corporation
Municipality, Local police, Housing corporation, maintenance service
Case selection
Multiple case study approach
Selection criteria:
(a) it is an initiative in which citizens use their senses to gather data,
(b) ownership of the initiative lies with citizens, and
(c) the data is gathered to influence local policy and decision making
Approach
Structured, semi-structured interviews, obervations and
shadowing
Statement card analysis
Visser, F.S., Lugt, R. Van Der, Stappers, P.J.: Participatory design needs participatory communication: New tools for sharing user insights in the product innovation process. Proceedings of 9th European Conference on Creativity and Innovation - September 2005. pp. 1–17. , Łódź, Poland (2005).
Results: Actors
Bron:
Actormap per case
Actors
Process supporters
Data Recipients
Data Interpreters
Data Gatherers
Results: Process
Process
1 - Mother organizations: Make us of existing socials