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Growing the FAIR Community at the Intersection of the Geosciences and Pure and Applied Chemistry

Data Intelligence 2020年第1期2卷 139-150,310,311页

作者： Shelley Stall Leah McEwen lesley wyborn Nancy Hoebelheinrich Ian Bruno American Geophysical Union 2000 Florida Ave.NWWashington DC 20009-1277USA Cornell University Ithaca NY 14853-0001USA Australian National University CanberraAustralian Capital Territory 0200Australia Knowledge Motifs San MateoCA 94401USA The Cambridge Crystallographic Data Centre CambridgeCambridgeshire CB21EZUK

The geoscience and chemistry communities have numerous common practices and dependency on data *** efforts from the International Union on Pure and Applied Chemistry(IUPAC)and the American Geophysical Union(AGU)are to explore and collaborate on approaches and sharing lessons learned on efforts to implement the FAIR Guiding Principles as they apply to data in their respective *** paper summarizes their efforts-to-date highlighting the importance of existing communities,Scientific Unions,standards bodies and societies in taking deliberate steps to move and encourage researcher adoption of the FAIR tenets.

关键词： Geoscience Geophysics Chemistry Crystallography Collaboration

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FAIR Geoscientific Samples and Data Need International Collaboration

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Acta Geologica Sinica(English Edition) 2019年第S1期93卷 32-33页

作者： Kerstin LEHNERT lesley wyborn Jens KLUMP Lamont-Doherty Earth Observatory Columbia UniversityPalisadesNY10964USA National Computational Infrastructure Facility and Research School of Earth Sciences Australian National UniversityCanberra2600ACTAustralia CSIRO ARRC KensingtonWA 6151Australia

1 Introduction The primary goal of the Deep-time Digital Earth project is to develop an open collaboration and data sharing platform that enables the transition of deep-time geoscientific research to a Big Data driven *** an open platform will require the ability to effectively and efficiently access and integrate a wide variety of digital Earth data.

关键词： FAIR findable accessible interoperable reusable data standards samples IGSN

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Rapid,high-resolution detection of environmental change over continental scales from satellite data–the Earth Observation Data Cube

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International Journal of Digital Earth 2016年第1期9卷 106-111页

作者： Adam Lewis Leo Lymburner Matthew B.J.Purss Brendan Brooke Ben Evans Alex Ip Arnold G.Dekker James R.Irons Stuart Minchin Norman Mueller Simon Oliver Dale Roberts Barbara Ryan Medhavy Thankappan Rob Woodcock lesley wyborn Geoscience Australia CanberraAustralia National Computational Infrastructure Australian National UniversityCanberraAustralia Commonwealth Scientific and Industrial Research Organisation CanberraAustralia NASA Goddard Space Flight Center GreenbeltMDUSA Research School of Finance Actuarial Studies and Applied StatisticsANUCanberraAustralia The Group on Earth Observations Secretariate GenevaSwitzerland

The effort and cost required to convert satellite Earth Observation(EO)data into meaningful geophysical variables has prevented the systematic analysis of all available *** overcome these problems,we utilise an integrated High Performance Computing and Data environment to rapidly process,restructure and analyse the Australian Landsat data *** this approach,the EO data are assigned to a common grid framework that spans the full geospatial and temporal extent of the observations–the EO Data *** approach is pixel-based and incorporates geometric and spectral calibration and quality assurance of each Earth surface reflectance *** demonstrate the utility of the approach with rapid time-series mapping of surface water across the entire Australian continent using 27 years of continuous,25 m resolution *** preliminary analysis of the Landsat archive shows how the EO Data Cube can effectively liberate high-resolution EO data from their complex sensor-specific data structures and revolutionise our ability to measure environmental change.

关键词： Earth Observation Data Cube HPD HPC surface water Landsat Australia

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