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An integrated software architecture covering the complete data live cycle: from acquisition and management to publishing INSPIRE services

Lars Bernard, Daniel Henzen, Matthias Müller and Stephan Mäs

(Submission #270)


Most of the data relevant for INSPIRE stems from public administrations at the municipality level. However, as the bundling and integration of INSPIRE compliant data is mostly done on higher administrative levels, the INSPIRE obligations are rarely really considered in current GI applications of the municipalities. Consequently, the technical components for data acquisition, integration and management are usually not very well connected to data publishing and provisioning services required for INSPIRE. This submission proposes an integrated software architecture to cover the complete data live cycle. The architecture results from the research project COLABIS (Collaborative Early Warning Information Systems for Urban Infrastructures, It also contains interfaces for interoperable data exchange with external data platforms and applications and introduces a software stack that integrates several open-source products to provide the required functionality. The presented architecture and its pilot implementations showcase a seamless, simple to use and secure solution, trying to get as close as possible to data creation and easing tedious manual metadata acquisition wherever possible (not only) within the INSPIRE context. Further, it simplifies the inclusion of the external data sources within projects. In general, the data access is organized in two zones: A private zone contains the data with restricted access to team members and a public zone to provide access to qualified, well-defined data sets. The architecture is organised in three main pillars which can be mapped to the regular data life cycle phases (collection, storage, curation, qualification, publishing and exploration) and offer a seamless data management environment. As a first pillar, the Data Management Platform plays a significant role as a data collection and management system for all data being in use in a research or planning process by an individual or a small working group. It also allows to search and integrate previous data from distributed sources. It can consume various kinds of (semi-)structured and (non-)semantic data and the integrated metadata enrichment processes eases the follow-up publishing process. The second pillar support the publishing of sufficiently qualified data in the CKAN component (, a software solution for open (spatial) data management and dissemination. Within COLABIS the CKAN has been extended to provide the spatial data offerings as interoperable, OGC-compliant services. The third pillar provides light weight interfaces to allow application development of different information applications.


Topic Area:  [2.3] Technologies and tools to support implementing, using and assessing the technical implementation of INSPIRE
Abstract Type:  Oral Presentation

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