In recent years, one of the major challenges in the Environmental and Earth Science has been managing and searching larger volumes of data, collected across multiple disciplines. Many different standards, approaches, and tools have been developed to support the phases of the Data Lifecycle (Data Acquisition, Data Curation, Data Publishing, Data Processing and Data Use). In particular, modern semantic technologies provide a promising way to properly describe and interrelate different data sources in ways that reduce barriers to data discovery, integration, and exchange among biodiversity and ecosystem resources and researchers.
The course would focus on the specific Data FAIRness phase in the Environmental and Earth sciences. It is built as a five-day summer school where leading scientists will address this topic from different perspectives.
The attempt is to gather what we consider the most interesting perspectives of our time.
We offer a cutting edge and high-quality programme, aimed at fostering a rich and lively intellectual exchange.