Abstract
This paper proposes a new model for data access and sharing within a spatial data infrastructure. Spatial data infrastructure, often proposed at national level, refers to the enabling of wider access to geographical data so that better knowledge can be generated to promote social, environmental and economic benefits. A good spatial data infrastructure includes people, policies, tools, methods and data. Many national spatial data infrastructure projects have included a clearing house, where meta-data can be searched in order to discover digital resources. While this approach can have certain advantages, there are also problems. Particularly the centralised clearing house has been shown to be hard to realise. In this paper, instead of a centralised top-down approach, we advocate a scalable, bottom-up distributed approach as the core of a spatial data infrastructure and demonstrate its feasibility. The advantage of this approach is that the spatial data infrastructure can grow organically without the need of a centralised entity and thus access to spatial data can be achieved sooner bringing with it environmental and economic benefits. We show how quality and security can be maintained within the approach. The National Geospatial Data Infrastructure (NGDI) project of Nigeria, together with the application area of environmental impact analysis, is used as a case study.
Original language | English |
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Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Apr 2017 |
Event | IEEE 21st International Conference on Computer Supported Cooperative Work in Design - University of Victoria, Wellington, New Zealand Duration: 26 Apr 2017 → 28 Apr 2017 http://cscwd17.sim.vuw.ac.nz/ |
Conference
Conference | IEEE 21st International Conference on Computer Supported Cooperative Work in Design |
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Abbreviated title | CSCWD2017 |
Country/Territory | New Zealand |
City | Wellington |
Period | 26/04/17 → 28/04/17 |
Internet address |
Keywords
- Spatial databases
- Standards
- Prototypes
- Access protocols
- Distributed databases
- Geospatial analysis
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications