SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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Pettit, C., W. Cartwright, I. D. Bishop, K. Lowell, D. Pullar and D. Duncan (2008). Landscape Analysis and Visualisation. Berlin: Springer-Verlag. Rajabifard A. (2002). Diffusion of Regional Spatial data Infrastructures: with particular reference to Asia and the Pacific, PhD thesis, Department of Geomatics, Faculty of Engineering, University of Melbourne, Australia. Ranatunga K., Nation E., and Barratt D. (2008). Review of soil water models and their application in Australia, Environmental Modelling & Software, 23(9): 1182-1206. SCENZ – GRID (2008). Science Collaboration Environment for New Zealand – GRID, at: http://scenz-grid.bestgrid.org:8080/. Steen man-Clark, L. (2004). Numerical Model Metadata Goals, at: http://ncas-cms.nerc. ac.uk/NMM/component/option,com_wrapper/Itemid,72/. Steenman-Clark, L. and Bouton, K. (2004). Numerical Model Metadata – a draft standard. Steenman-Clark, L. Numerical Model Metadata Schema, at: http://ncas-cms.nerc.ac. uk/svn/NMM/NMM_Model/trunk/v.011/schema_def/NMMModel.xsd. Steinitz C. (1990). A framework for theory applicable to the education of landscape design architects (and other environmental design professionals, Landscape Journal, 9(2): 136-143. Stout, D., Kodis, M., Wilen, B. And Dahl, T. (2007). Wetlands Layer – National Spatial Data Infrastructure: A phased approach to completion and modernization. US Fish and Wildlife Service. van der Wel, F. (2005). Spatial data infrastructure for meteorological and climate data, Meteorological Applications, 12: 7-8. Web references Website 1: Dataset Acquisition Accessibility and Annotation e-Research Technologies (DART): http://dart.edu.au/. Website 2: Australian Research Repositories Online to the World (ARCHER): http://arrow.monash.edu.au/vital/access/manager/Index. Website 3: NASA Global Change Master Directory: http://gcmd.nasa.gov/. Website 4: Freebase - Environmental Modelling Collection: http://www.freebase.com/ view/user/robertm/environmental_modelling. Website 5: Catchment Modelling toolkit: http://www.toolkit.net.au/cgi-bin/WebObjects/ toolkit. Webs ite 6: SCENZ-GRID: http://scenz-grid.bestgrid.org:8080/. 150
Implementation of Recent Metadata Directives and Guidelines in Public Administration: the Experience of Sardinia Region Luisa Manigas, Michele Beneventi, Luca Corvetto, Rita Vinelli and Marco Melis Region of Sardinia (Italy), Local Authority for Municipalities, Finance and City Planning Department for Cartography and Information Systems {lmanigas, lcorvetto, rvinelli, melisma}@regione.sardegna.it mbeneventi@sardegnait.it Abstract Since 2006, the Region of Sardinia (Italy) has been developing its Geographic Information System and the related Spatial Data Infrastructure, known as Sistema Informativo Territoriale Regionale - Infrastruttura dei Dati Territorial (SITR-IDT). The aim of SITR- IDT is creating and managing a spatial database and the technologic infrastructure, services and application needed for data access. This is in agreement with the principles of geographic data sharing and accessibility expressed by the INSPIRE Directive; for this purpose, metadata play a fundamental role. In SITR-IDT a high importance has been given to metadata definition, acquisition and management. Proper tools for metadata management, according to INSPIRE Implementing Rules (IR), are being developed. Both INSPIRE IR and the requirements coming from an appropriate daily spatial database administration have been considered in metadata organisation. In this article, the metadata organisation adopted in SITR-IDT for data of different typologies is illustrated. It presents the evolution of metadata organisation according to European Union Directives and technical guidelines. It also explains the switch from a quite rigid and constraining metadata schema to a more flexible and standards-compliant one. Different questions such as the metadata manager and the organisation of metadata for nongeographic data related to geographic data are discussed. The article presents a tool, the metadata manager, that should help to create, collect, and manage metadata at the appropriate levels of a Spatial Data Infrastructure. Keywords: Geographic Information System (GIS), SITR-IDT, Sardinia, metadata, IN- SPIRE, ISO19115, metadata manager, non-geographic data. 1. INTRODUCTION The most important target of SITR-IDT is to create a spatial database containing all geographic data produced by the Regional institutional agencies in Sardinia, Italy. The data quality should be granted by official validation and certification. Metadata play a fundamental role in arriving at this target. Metadata are the data ‘passport’; they describe data features and therefore represent the data identity. When structured according to international standards, metadata allow data consultation, access and use by international stakeholders. In the definition of the metadata organisation initially chosen in SITR-IDT, the ‘IntesaGIS’ project played a fundamental role. This project, started in 1996 and nowadays promoted by the CNIPA (Centro Nazionale per l’Informatica nella Pubblica Amministrazione), aimed at defining and sharing operational guidelines for geographic data creation among the public administrations of Italian Regions. The main goal of this project was to make the implementation of spatial databases standardised at a national level (Intesa GIS, 2004a; Intesa GIS, 2004b). 151
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SDI Convergence Research, Emerging
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SDI Convergence. Research, Emerging
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An Integrated Framework for the Imp
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Peer Review Board for SDI Convergen
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domain are or may become important
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Services taking advantage of multip
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changes that have taken place in th
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The Potential of a National Atlas a
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tion, the Royal Netherlands Geograp
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challenge for the National Atlas Fo
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experience 'instant satisfaction' u
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data are found offered by the data
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spread of flora and fauna, especial
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Spatial Data Infrastructure of Spai
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ecords managed through the services
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esult of applying GUI production ru
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28 Table 1: Mapping between OGC Cap
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30 Figure 4: Online metadata editio
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ACKNOWLEDGEMENTS This work has been
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Public Sector Geo Web Services: Whi
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Figure 1: Serving geo-information u
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nue. With an increasing number of m
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3.2 Types of business models Malone
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Not all revenue models described by
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uses this model to finance large-sc
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of web service (WMS, WFS/WCS, WIS,
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REFERENCES Anderson, C. (2008). Fre
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INTERVIEWS Jellema, M., DataLand, R
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gion, aware of the INSPIRE context,
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3.3 International activities on man
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use happens when the final user wil
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Geolicences implementation has draw
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Spatial Information Council (2008).
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make it hard for citizens and civil
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66 Figure 2: Prototype to test navi
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”Member States may limit public a
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sor is dragged further into the pro
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cause changes in Dutch and regional
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Hoekstra, R., Winkels R.G.F. and Hu
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The use of location-based informati
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tion which does not measure a perso
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important role (Dobson and Fisher,
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camera surveillance on a public roa
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Furthermore, the Court gave a numbe
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ECtHR (2003a). Peck v. The United K
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Harmonising and Integrating Two Dom
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ing and integrating these two domai
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Table 1: Differences in background
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Figure 1: Examples of IMGeo data (c
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Concept Table 4: Same concept, diff
Page 107 and 108: Some differences are not clear from
Page 109 and 110: Such homogenous classes will also a
Page 111 and 112: BMT classes, which contain all info
Page 113 and 114: phy, both illustrated with UML exam
Page 115 and 116: An Analysis of Technology Choices f
Page 117 and 118: The objectives of this article are
Page 119 and 120: 3. THE COMPARTIMOS REFERENCE MODEL
Page 121 and 122: sufficiently simple to allow repres
Page 123 and 124: same implementation of a geospatial
Page 125 and 126: 5. RESULTS Through the development
Page 127 and 128: Di L., Chen A., Yang W., Liu Y., We
Page 129 and 130: SDI and Metadata Entry and Updating
Page 131 and 132: A critical problem for metadata col
Page 133 and 134: 2.1.8 Functionalities A MET must al
Page 135 and 136: Collection of related documents Sta
Page 137 and 138: well as more enhanced tools to impr
Page 139 and 140: access to geo-referenced databases,
Page 141 and 142: metadata and spatial data is new an
Page 143 and 144: Phillips, A. and Williamson, I. P.
Page 145 and 146: A Prototype Metadata Tool for Land
Page 147 and 148: data and grid computing infrastruct
Page 149 and 150: model elements it becomes possible
Page 151 and 152: Figure 2: Overview of the system co
Page 153 and 154: 1. selection of a model; 2. provisi
Page 155 and 156: the tool is deployed more widely us
Page 157: Chan, T., Beverly C., Ebert, S., Ga
Page 161 and 162: ) definition of a metadata organisa
Page 163 and 164: 3.2 Definition of a metadata schema
Page 165 and 166: This is just an example of how comp
Page 167 and 168: 6. CONCLUSIONS The Public Administr
Page 169 and 170: An Integrated Framework for the Imp
Page 171 and 172: 2.1 Six Sigma Six Sigma is one of t
Page 173 and 174: However, the traditional methods of
Page 175 and 176: The fifth element for BSC design is
Page 177 and 178: Table 2: Strengths and weaknesses o
Page 179 and 180: Camp, R. C. (1989). Benchmarking: T
Page 181 and 182: Nedovic-Budic, Z., Feeney, M.E.F.,
Page 183 and 184: The Value Chain Approach to Evaluat
Page 185 and 186: The definition of assessment strate
Page 187 and 188: There may be several activities per
Page 189 and 190: The complexity of work, which was r
Page 191 and 192: Figure 5: Secondary interface: orga
Page 193 and 194: on investments. More importantly, i
Page 195 and 196: Porter, M. (1985). Competitive Adva
Page 197 and 198: Evaluation of Spatial Information T
Page 199 and 200: fully digital nationwide spatial da
Page 201 and 202: satellite imagery, digital vector d
Page 203 and 204: lic) and the National Mapping Agenc
Page 205 and 206: - Secondary spatial data available,
Page 207 and 208: Figure 1: Technical progress of SDI
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Khan, J. (2007). Karachi Master Pla
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Philippines http://www.geoinfo.ait.
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Local Government and SDI - Understa
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Australia, like many developed coun
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Table 1: Structure of the LGA quest
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(p
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Table 3: Results of multiple regres
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The role of local government in bui
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McDougall, K., A. Rajabifard and I.
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Changing Notions of a Spatial Data
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Table 1: Differences between GeoWeb
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The concept of spatially enabled go
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applications field and also in term
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The discussion in the fifth section
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Cooperation - a Key Factor for Sust
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appears at low levels and can seek
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Many of the problems of a non-techn
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4.4 Important aspects As cooperatio
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level’ within and between organis
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Seamless SDI Model - Bridging the G
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tuaries and oceans (Plunkett, 2001)
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Figure 2: Seamless administration s
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Figure 5: Seamless platform. A seam
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4.2 Standards SDI must be based on
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One more concern linked to the esta
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structures that not only do not yet
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The RRR Toolbox: a Conceptual Model
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curring in the present must not com
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databases and web mapping services.
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Principles, Institutional Principle
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The commonalities between SDIs and
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Mooney, J. D. and Grant, D. M. (199
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Building SDI Bridges for Catchment
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approaches. TCM is a holistic appro
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hierarchy namely; the umbrella view
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tions and practices in South Africa
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Figure 2: Conceptual framework: App
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In the Murray Darling Basin, there
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REFERENCES Australian Bureau of Sta
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Rajabifard, A., M.-E.F. Feeney and
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SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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