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INSPIRE interoperability roadmap and architecture: lessons learned

Stijn Goedertier, Thierry Meessen, Jeff Konnen and Patrick Weber

(Submission #352)


Abstract

The Luxembourgish Cadastre (Administration du Cadastre et de la Topographie – ACT) is responsible for the realisation of the INSPIRE Implementing Rules on interoperability of data sets and services for the whole of the Grand Duchy of Luxembourg. The country has more than 250 datasets within scope of the INSPIRE data themes. To pave the way for an efficient implementation, the ACT has opted for an organisational setup where tasks related to dataset harmonisation and publication are as much as possible carried out by a central support team. The ACT has created an implementation roadmap that identifies the tasks to be performed, assigns roles and responsibilities, estimates the required effort, and proposes a concrete time plan. This phase included among others analysing the level of conformity of the existing datasets and services and conducting interviews with data owners in the Luxembourg public sector. At the technical level, the ACT has evaluated its existing application architecture, and assessed to which extent it could replace existing building blocks in its INSPIRE spatial data infrastructure by open-source solutions, such as the country’s existing open data portal (based on uData), and PostgreSQL/PostGIS, GeoNetwork and GeoServer. For data harmonisation and publication, the spatial ETL tool FME will continue to be used; although HALE and GeoServer AppSchema were also evaluated. A proof-of-concept implementation allowed evaluating the conformity of the chosen architecture. The PoC demonstrates that FME can be used to setup a fully automated publication workflow that includes reading a dataset from its source, transforming it according to the INSPIRE data specifications, uploading it to the uData portal and PostGIS database, configuring corresponding view service on GeoServer, updating metadata records on GeoNetwork, and testing the conformity of the dataset and services. We developed an extension to GeoNetwork 3.2 enabling us to generate INSPIRE-conform ATOM/OpenSearch descriptions on the basis of the metadata records of the download service and corresponding datasets. To enable continuous integration and deployment, a git versioning system, FME build service, and Docker-compose orchestration are used.

Categories

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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