Location: De Grote Post Oostende – Meeting Room Dactylo (Floor 1A)
Time: From 18:00 till 20:00 on Wednesday 21/10/2015
Session chairs: Jacques Populus (Ifremer) & Simon Claus (VLIZ)
A key component of EMODnet is the creation of thematic data products. Currently about 30% of EMODnet resources are dedicated to the compilation of seabasin data products. However, much discussion still exists on the specific objectives of the EMODnet data products, their role, target users, resolution or confidence levels and data quality and availability. Are the creation of data products mainly a policy issue and how far should or can EMODnet go? This is both a question of remit and sustainability: is making complex products rather the activity of the industry, whereas making large coverage re-usable products can be deemed as within the scope of the Commission? Should EMODnet products remain "close to raw data", and comprehensive (pan-European), are the products legitimate only if desirable for the whole community (examples: sediment map, marine species abundance map etc.)? How to link with many SMEs which are candidates to produce dataproducts (e.g. climatologies derived from Remote Sensing or models). When it comes to making more sophisticated products (relying on multi-thematic sources), such as seabed habitat maps or even more so Checkpoint products, what is the long term justification (and sustainability) for EMODNet to do this… This session will reflect on these issues and create the opportunity to discuss some of the aspects through four keynote presentations.
- Dr. Jacques Populus (L'Institut Français de Recherche pour l'Exploitation de la Mer - Ifremer), France: Introduction: What are products?
- Dr. Alexander Barth (Liège University, Belgium): Data analysis and data products in EMODNET Chemistry
- Prof Dr. Peter Herman (Royal Netherlands Institute for Sea Research NIOZ) Do we have the data to create Sea basin scale products – a perspective from EMODnet biology
- Dr. Jesper Andersen (NIVA Denmark Water Research): Lessons learned from the combination of data from different disciplines: a story about multi-metric indicator-based tools for mapping of ‘problem areas’ and ‘non-problem areas’