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Global Lake Observatories Network: Advancing Data Sharing and Collaboration

Join the GLEON network - connecting over 120 scientists from 19 countries to study lakes worldwide. Collaborate, develop tools, train scientists, and conduct multi-site research to advance understanding of lake ecosystems.

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Global Lake Observatories Network: Advancing Data Sharing and Collaboration

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  1. 3 Networks People Data Lake observatories

  2. 19 countries participating • More than 120 scientists • Most sites are developing

  3. Lake Sunapee, NH – a recent addition • Collaboration – scientists, educators, • lake association • Motivated by diverse interests • Supported by diverse funding Lake Sunapee Photo: Midge Eliassen

  4. GLEON Activities • Share experience, expertise, and data • Catalyze joint projects • Develop tools • Conduct multi-site training • Create opportunities for students • Meet and communicate regularly

  5. New research enabled by the “observatory” approach • Coupling of physical and biological processes • Role of episodic events, thresholds, and non-linear dynamics • Source, movement, and fate of carbon in lakes and watersheds • Lakes as “sensors” of landscape & climate change • Future of the availability and quality of the world’s fresh water

  6. Field station Data center

  7. Data • Maintain local autonomy and diversity • Improve global coverage and interoperability – scaling issues • Reduce time to science products • Train scientists to operate in large networks • Transform science Products

  8. Getting there… • Science issues • Multi-scale, multi-system • Interdisciplinary and adaptable • Technology issues • Better, more reliable coverage • Interoperability (knowledge representation) • Data, model, knowledge integration • Social issues • New venues for products • Training for a new network culture • Partnering with new organizations • Policy issues

  9. Recommendations to NSF • Reliable, world-wide network coverage • Continue promoting international collaborations • Encourage/support access to remote areas • Support of diverse and evolving network needs • Technology that scales • Compatibility • Flexibility

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