GLOS Data Challenge.

The GLOS Data Challenge Helps Solve Water Problems in the Great Lakes

The Great Lakes hold 21% of the world’s fresh surface water by volume. Only the right information today can ensure the sustainable use of these waters for generations to come.

In North America, the Great Lakes account for 84 percent of fresh surface water. Today, these lakes are sourced for drinking water for over 40 million people. One and a half million U.S. jobs and $62 billion in U.S. wages depend on the health of the Great Lakes. While restorations efforts are progressing, climate change and water quality concerns still threaten their ecosystem.

You’re invited to make a difference by participating in the 2016 Great Lakes Observing System (GLOS) Data Challenge!

GLOS is inviting all data enthusiasts to leverage existing open Great Lakes data to develop innovative tools that can help all stakeholders – including natural resource managers, businesses, cities, and vacationers. Submissions can include an app, data “mash-up,” visualization tool, story, or other innovative idea for using, collecting, analyzing, visualizing, or communicating Great Lakes data.

The grand prize is $5000 and there are $2,000 prizes for the winning submissions in four categories!

Aquatic Informatics is proud to be sponsor of the “Data Quality Assurance” category. More data from more sources are available for the Great Lakes region today than ever before. This presents an opportunity to garner greater insights. It also has its challenges. In particular, data from various websites and data portals vary widely by data quality … and in many cases the quality of the data to the user remains unknown. Utilizing data of an unknown quality can have massive impacts on the derived data products, which can, in certain circumstances, lead to the wrong water resource management decisions.

The Challenge is now closed

For the “Data Quality Assurance” challenge, participants are invited to use open data from the GLOS data portal to develop new tools that quantify data quality. Such a solution would ideally look at large data volumes, then automatically evaluate the quality of the data when selected by a data consumer. This solution would empower data consumers in the Great Lakes region to ensure that the data they use are fit for purpose.

Submission are due by 3PM Eastern on August 15 and the winners will be notified September 15, 2016.

In addition to encouraging participation, I would like to wish everyone much luck in the 2016 GLOS Data Challenge!

FREE eBook: Communicating Hydrometric Data Quality – What, How & Why

This eBook examines the current standards for characterizing and communicating data quality. Discover how qualifying your data can build confidence. Get your copy here.

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