Geospatial Reference Architecture of Statistics Finland and the Finnish Public Sector EA Framework Rina Tammisto, Riitta Piela, Antti Santaharju Statistics Finland
Introduction In-house Data Architecture work identified GEOSPATIAL DATA as its own logical data warehouse In order to understand what that means a project was set up (Feb. to June 2018) The Geospatial Reference Architecture project started having as a baseline To use the Enterprise Architecture method and create a Geospatial Reference Architecture Based on the idea of a shared geospatial data warehouse Based on the idea of the utilisation of shared services and tools
Architecture method Public Administration Recommendation (JHS) 179 v.2.0 Based on TOGAF v.9.1 Models both the current state and the target state from four different perspectives We used a tool supporting JHS 179 (QPR Enterprise Architect) As an NSI we added a fifth perspective, GSBPM (Generic Statistical Business Process Model) We modelled The current state The target state (especially services needed) We analysed gaps between the current and target states We defined the focus for the development needed Finally, we made a road map for the necessary actions
Architecture Framework Principle level Strategy Map Conceptual Model Roles Services Future Actions Road Map Business architecture Data architecture Information Systems architecture Technology architecture
Strategy Map: VISION 2023 Statistics Finland has a centralised operating model for producing and utilising geospatial statistical data. Geospatial data is produced only once. Geospatial data is used uniformly by the organisation and also on the national level (regarding data disclosure). Geospatial data and geospatially enabled statistical data is used via shared web services. Statistics Finland s role in the national and international operating environment is defined and agreed with other actors
Strategy Map A vision 2023 Strategical Drivers (10) e.g. We want to integrate geospatial data production to statistical production Strategical Goals (5) e.g. Geospatial data is utilised uniformly Strategical Objectives (15) e.g Ownership and roles are defined e.g. Geospatial data is utilised by web services
Geospatially related Roles 1 1 Steering Owner of the Geospatial Issues 2 Development, Management, Maintenance Owner of the Geospatial Reference Architecture Responsible parts of Geospatial Operating Architecture Geospatial Data Architecture Geospatial related System and Technology Architecture Geospatial Methods Co-operation in the Geospatial field (IT architect) Contact point (statistical production, customers) Maintenance of the shared geospatial data warehouse Maintenance of shared geospatial services 3 Statistical production 2 3
Future processes are service-based OGC Web Services Geospatial Services by the GSBPM (v5.0) phases A Service may consists of one or several micro services Geocoding 2.0 Collect Analyse Disseminate Services will be created by Statistics Finland or we will take into use services created by another stakeholder CSPA Services in target: Created services are offered for further use; i.e. other statistical actors in Finland or abroad Coordinate conversion service Geospatial conducting service Process
Road Map Governance model First version of geospatial data warehouse and first geospatial services Developing of geospatial metadata for statistical production
Architecture Governance Model Our governance model is JHKA 1.91 (Governance Model for Enterprise Architecture in the Public Sector) Governance Model is a structure that keeps reference architecture up-to-date a tool for implementing strategy The most important things in Architecture Governance Identify all processes that may have impact on reference architecture: changes in customer needs, standards, legislation, technology, organisation or, for example, changes in surrounding society (digitalization) Offering the up-to-date reference architecture for all potential users and also offering the visible process to update the reference model, if necessary (projects, strategy work, etc.)
Thank you Riitta Piela riitta.piela@stat.fi Rina Tammisto rina.tammisto@stat.fi Antti Santaharju antti.santaharju@stat.fi