Research Data infrastructures for Environmental related Societal Challenges

Venue: CNAM - Conservatoire national des arts et métiers, 292 Rue Saint-Martin, 75003 Paris

Environmental data from various monitoring sources are becoming bigger, faster, and diverse than ever before. Transforming this 'data deluge' into scientific evidence for policy making or business opportunities requires to level up online capacities to discover, access, and integrate environmental data, knowledge and processing facilities in a distributed and globalised context. This requires a leap in the way scientific knowledge is produced and business models are conceived. It also brings the challenge of developing truly interoperable and easy exploitable enabling e-infrastructures.
 
The Paris workshop was the occasion to illustrate data value requirements in the specific context of developing food-, marine- and climate- services and exemplify several existing or planned e-infrastructures supporting user-oriented workflows for these domains contributing to environmental applications. Building on current development in international initiatives such as the Research Data Alliance (RDA), the Belmont Forum (BF) and the Group on Earth Observations (GEO), the workshop was an opportunity to discuss trends of the current global landscape of e-Infrastructures for environmental data management and exploitation and for enhancing collaboration on a global level in support of sharing research and public sector data. The workshop was also useful to identify opportunities and gaps to better match data and IT supply with the growing demand for services in the fields of food security, marine resources conservation and the transition to climate-resilient and low-carbon societies and economies.
 
View the agenda here

Donatella Castelli, CNR ISTI & BlueBRIDGE Project Director, gave the presentation "Building on iMarine for fostering Innovation, Decision making, Governance and Education" highlighting how Virtual Research Environments can radically transform the way researchers work together by enabling collaboration and alignment. Members from different sectors with specific competences can benefit from data sharing and re-use as well as processing capabilities they cannot typically afford. As a result, users gain mutual economies of scale.