CONFERENCE PROCEEDINGS
6th INTERNATIONAL CONFERENCE
CONTEMPORARY ACHIEVEMENTS IN CIVIL ENGINEERING 2018 , 2018.y., pp. 673-683
INSPIRE CONCEPT AND DIGITAL DATA MODELS |
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DOI: 10.14415/konferencijaGFS2018.066 |
UDC: 528:65.011.56 |
CC-BY-SA 4.0 license |
Author : Mijić, Nikolina; Bartha, Gabor; Vujičić, Tijana |
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| Summary: |
| Access to spatial data and services constitutes an important basis for
environmental policies for all public authorities and is therefore a central aspect of the
Infrastructure for spatial information in the European Community. Since the Community
institutions and bodies in most cases have to integrate and assess spatial information
from all the Member States, INSPIRE recognizes the need to be able to gain access to
and use spatial data and spatial data services in accordance with an agreed set of
harmonized conditions. The INSPIRE Directive lays down a number of rights and
obligations regarding the sharing of spatial data sets and services between all levels of
government. Article 17(8) of INSPIRE Directive requires the development of
implementing rules to regulate the provision of access to spatial data sets and services
from Member States to the institutions and bodies of the Community. Principles for
sharing of spatial data sets and services between public authorities within and Member
States, on the other hand, are contained directly in the Directive; the definition of the
concrete measures to be implemented to this end is left to the responsibility of each
Member State and is not within the scope of these implementing rules. The Regulation on
INSPIRE Data and Service Sharing was adopted on the 29th March 2010. The INSPIRE
Implementing Rules on interoperability of spatial data sets and services and the data
specification guidance documents are based on the UML data models developed by the
INSPIRE Thematic Working Groups. These data models are managed in a common
UML repository, which also stores older revisions of the models. |
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| Keywords: |
| Member States, Spatial data, Service Sharing, Implementation, Data models. |
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