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ESIP 2019 Winter Meeting - Day 1 PlenariesBio: Lesley Wyborn is an Adjunct Fellow at the National Computational Infrastructure and the Research School of Earth Sciences at the Australian National University. She also works part time for the Australian Research Data Commons. She previously had 42 years’ experience in scientific research (geochemistry and mineral systems research) and in geoscientific data management in Geoscience Australia from 1972 to 2014. In geoinformatics her main interests are developing international standards that support the integration of Earth science datasets into transdisciplinary research projects and in developing seamless high-performance data sets (HPD) that can be used in high performance computing (HPC) and cloud environments. She is currently Chair of the Australian Academy of Science ‘Data in Science Committee’ and is on the American Geophysical Union Data Management Board. She was awarded the Australian Government Public Service Medal in 2014 and the Geological Society of America Career Achievement Award in Geoinformatics in 2015.
Abstract:Just as a Philharmonic Orchestra comprises four sections (strings, woodwind, brass and percussion) so too does the discipline of Earth and environmental sciences comprise four main subdisciplines of ‘players’: geochemistry, geophysics, Earth Observation and geology. Each section in an orchestra has its own distinctive sets of instruments with their own sound, the sheet music and musical notation they read are common across all four. Likewise, in Earth and environmental science research, data and information are fundamental to all four subdisciplines, although each collects different types of data and uses different suites of ‘instruments’ to collect data then store and process it. The real grand challenge is how do we enable full integration of data across all these subdisciplines and beyond, where we reach out to those beyond the traditional sciences. If we can orchestrate and ‘tune’ our Earth and environmental data systems into harmonious ‘symphonies’ that can address the new transdisciplinary drivers, particularly the needs of low to middle income countries, then we will automatically increase the reach, use and value of our data.
