The MBON Pole to Pole effort seeks to develop a framework for the collection, use and sharing of marine biodiversity data in a coordinated, standardized manner leveraging on existing infrastructure managed by the Global Ocean Observing System (GOOS; IOC-UNESCO), the GEO Biodiversity Observation Network (GEO BON), and the Ocean Biogeographic Information System (OBIS). The MBON Pole to Pole aims to become a key resource for decision-making and management of living resource across countries in the Americas for reporting requirements under the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), Aichi Targets of the Convention of Biological Diversity (CBD), and the UN 2030 Agenda for Sustainable Development Goals (SDGs). 

This course a follow up of the MBON Pole to Pole of the Americas: using OBIS as data sharing and integration platform. The course will take place in Cancun, Mexico, between 2 to 5 April 2019.

This second workshop builds on activities and achieved goals from a first meeting in Sao Sebastiao, Brazil, August 6-10, 2018. The purpose is to continue the development of a community of practice dedicated to understanding change in marine biodiversity and generating knowledge and products that inform conservation and management strategies of marine living resources by engaging researchers, managers and policy-makers with interest in biodiversity monitoring and data synthesis and analysis. During this workshop participants will:
 
  • Advance already agreed field sampling protocols for rocky shores and sandy beaches;
  • Manipulate tabular and spatial data already collected at their study sites for standardized data formats using Darwin Core vocabularies and quality controls;
  • Develop specific vocabularies for flora and fauna of rocky shore and sandy beach measured during field surveys;
  • Publish survey datasets to the Ocean Biogeographic Information System (OBIS) using tools for sharing data;
  • Advance knowledge on data science tools (R, Rmarkdown, Github) to mine data, visualize and analysis, and produce reproducible research documents with interactive visualizations onto the web.