Paper by Lauren A. Haygood and Todd Halihan: “More than 50% of Oklahoma’s surface water systems are classified as impaired by the US EPA, with limited funds designated toward surface water monitoring. Community science data can contribute to increasing the amount of quality-controlled government water quality reporting. A framework is presented for implementing a community-based approach to generating quality-controlled water field data to support water quality monitoring by local and regional governments. This research focuses on the design and implementation of a water quality community science project in Oklahoma, USA. In this study, community scientists collected water samples and produced over 100 measurements of key water quality parameters, including alkalinity, conductivity, total dissolved solids, temperature, and selected metals (e.g., iron, manganese, mercury, cadmium, and lead). The frequency and resolution of these community-generated data exceed those of conventional state government monitoring, demonstrating the potential for community science to provide cost-effective, high-frequency, and spatially expansive data sets, which fill monitoring gaps. Additionally, community science can act as a method to bridge the gap between stakeholders, scientists, and policy makers. This study highlights the quality-controlled methods, tools, and community-driven efforts shaping water quality research and public engagement in Oklahoma, a step forward in community-driven data acquisition and water policy…(More)”.
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Open Data
Public Data as Public Health Infrastructure
Posted in November 1, 2026 by Stefaan Verhulst
Artificial Intelligence
AI Regulatory Sandboxes in Europe: What do we know so far?
Posted in November 1, 2026 by Stefaan Verhulst
Artificial Intelligence
DATA
Emerging research information practices in the era of generative artificial intelligence
Posted in November 1, 2026 by Stefaan Verhulst