the portuguese sdi and its contribution for the gsdi cristina gouveia cnig portugal
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Index
Background SNIG development SNIG Evolution Stages Strong and Weak points Contributions for the GSDI
Background
February 1986 - creation of the task force
February 1990 - CNIG and SNIG creation
May 1995 - SNIG on the Internet January 1998 - New interface June 1999 - GEOCID launching
SNIG Evolution Stages (1 of 3)
1990 - 1995– linking databases experiences– contacts and negotiations with geo-
spatial data producers– efforts to promote the use of GIS and
the production of GI digital data– support to the implementation of
municipal GIS
SNIG Evolution Stages (2 of 3)
1995 - 1998 (professional user oriented)– Fully distributed system on the Internet
(http://snig.cnig.pt)– Development of WWW interfaces to existent
databases– Implementation of mechanisms for commercial
transactions on-line– Dinamization of SNIG local nodes– Implementation of the Earth Observation Network
(ROT)
SNIG Evolution Stages (3 of 3)
1998 until now (citizen oriented)– More appealing and user oriented user interface – Development of applications oriented to the
citizens (aerial photographs access, Municipal Master Plans maps and associated rules, production of thematic maps of Continental Portugal, Educational module,...)
– Development of a SNIG version oriented to the general user - GEOCID, including a new application giving access to the 1995 complete coverage of the country in orthophotos - “Portugal from the Sky” application
SNIG Coordination
Coordinated by CNIG, which is government research agency– 14 staff members
CNIG provides technical assistance to GI producers and promotes data accessibility and avoid duplication efforts
SNIG includes central, regional and local levels
SNIG Core data (1 of 2)
(what is the core dataset? the most used?)
Core data sets do not really exist as such
No core data was identified or defined
The Concept of Core data depends on the GI Data User
SNIG Core data (2 of 2)
Increase access to the available data The ortho-photographs are the dataset
with the highest number of access through SNIG:– they are used both by Citizens and GI
professionals
SNIG Metadata
Metadata catalogues describe:– Cartographic data– Alphanumeric data– Aerial photographs coverages– Satellite images
Follow CEN TC287 Centralized database, which is managed
by CNIG
Strong Points (1 of 2)
There is a legal mandate to develop the SDI The coordinator body is not a GI producer, it
is research agency with strong links to the research community– promotes the exploration of new technological
developments Integrates local, regional and national It targets citizens
Strong Points (2 of 2)
Strong emphasis on the users needs:– Usability testing of the web site and focus
groups to understand the users needs Funding program for the SDI development:
– Improve the use of GIS by local governments – Support the production of GI such as the
ortho-photographs
Weak Points (1 of 2)
Top-down approach Different policies of dissemination of the
public sector information sometimes associated to business motivations
Insufficient human resources at SNIG nodes and also at CNIG:– Institutions are still too reliant on CNIG
support, and are not motivated to create their own staff devoted to the SDI
Weak Points (2 of 2)
Lack of some datsets needed for the development of the GIS market to applications such as geomarketing, distribution and etc
The GIS market is still in an early stage
Contribution for the GSDI (1 of 3)
SNIG development shows that an SDI should not only target GI professionals but also the citizens – This approach will enlarge the GI market
Integration of the local level with the regional and national level– The local level is very important for the
development of the GI sector not only they are the GI main producers but also its main users
Contribution for the GSDI (2 of 3)
More than defining the core dataset it is important to establish processes to access to existing data:– Development of metadata catalogues
based on standards– Improve interoperability
The SDI have to consider that different types of users have different data needs