Workshop “TRANSFORMATION OF THEMEs EL and OI” Introduction IGN 29-30/09/2015
INSPIRE KEN KEN: Knowledge Exchange Network Set up by EuroGeographics by end 2011 Objectives: Share experiences about implementation of INSPIRE Share information about INSPIRE (e.g. about MIF/MIG) Activities: E-mail exchange on Base camp Webinars Workshops Communication during INSPIRE conference Open to any NMCA staff having interest in INSPIRE Several persons from same NMCA may join INSPIRE KEN No commitment for work But active contribution very welcome!
CONTEXT: interoperability is key issue INSPIRE Directive : 2017 : annex I themes 2020 : annex II and II themes ELF project Includes themes AD, AU, BU, CP, GN, HY, TN, EL Interoperable data expected by end 2015 INSPIRE MIG Thematic Clusters To collect implementation experiences and requests for change Duration : end 2014 – 2015 (?)
CONTEXT : INSPIRE KEN ACTIVITIES Interoperability in general NMCA strategy to implement INSPIRE interoperability (February 2013) Schema transformation (October 2013) Coordination between data producers for interoperability (February 2014) Interoperability of specific themes HY and TN : October 2014 (Praha) Other vector themes: April 2015 (Praha) Raster themes EL and OI : 28-29 September 2015 (Barcelona) Documents available on EuroGeographics web site
Objectives OF CURRENT workshop Increasing common understanding about coverages (training session) Share our experiences regarding transformation of themes and download services (WCS) Check if we have same understanding of INSPIRE specifications Identify the common choices and common issues If necessary, provide INSPIRE KEN requests for change to INSPIRE specifications Get some state-of-play of our achievements Learn about and contribute to the ELF project know more about MIG thematic clusters
AGENDA Tuesday morning Tuesday afternoon Wednesday morning : Introduction Training session Tuesday afternoon Experience about transformation of themes OI and EL Progress in ELF project Wednesday morning : Experiences on WCS Thematic clusters