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Product: Watershed Classroom and Data Lab

Product URL: https://watershedclassroom.opennrm.org/

34 North Watershed Classroom and Data Lab Learning Platform

  • Based on experiential learning and uses next generation science standards (NGSS)
  • Supports project based learning and field studies
  • Building on SRWP data and watershed knowledge, the platform uses computational and STEM based inquiry to introduce DATA SCIENCE subject matter

Student Learn Data Science Concepts Through Watershed Science

  • SRWP has hundreds of datasets and extensive knowledgebase to establish baseline
  • Students gather, present and synthesize data to tell the story of a watershed
  • Students can build interactive maps, wikis, analyze data and dig deeper into topics
  • Data collection, analysis and synthesis culminate in stories about field studies, watershed health and local ecosystems
  • Stories are used to communicate science to their peers and community

Data Program Development

  • Continue to collect, process, style and web enable Butte County Data at Watershed, Planning Area and Project Levels.
  • Develop and finalize planning area and project level data guidance document and template framework to distribute during road show to each planning.
  • Publish and distribute metadata documentation for 1755 compliance and project prioritization queries

Outreach and Education

  • Public facing project templates
  • Reporting dashboards
  • General communication
  • Butte County planning communication

Program and Platform Offering

  • Comprehensive SRWP Data Program
  • Curriculum review and integration with platform
  • Introduction to existing curriculum and templates supported by the platform
  • Integrate existing reference libraries and SRW knowledgebase
  • Customize application for participating school(s) to include: data, maps, documents, images, wikis and data analysis tools
  • Set up learning modules

Extensive Data Analysis

  • Metrics
  • 95th percentile weather
  • Fire start history
  • Traditional fuel metrics
  • surface fuels, canopy fuels
  • Condition class
  • Distance to anthropogenic values
  • Weighted canopy cover slices
  • 2 – 8m cover x 3
  • 8 – 16m cover x 2

Learning Platform: Data Science

  • The Problem:
    Today’s data tools are designed for scientific or business analysis (SAS,R, Python, SQL,Scipy). The complicated and abstract nature of these tools make it difficult to integrate data science into K-12 curricula. K-12 classrooms can benefit from a generalized data learning platform that can supplement existing curriculum and enhance real world experiences. We see an emerging opportunity to develop such a platform for schools focusing on the watershed science disciplines. Watershed science is a familiar, data rich and complex system that requires a multidisciplinary approach to analyze and problem solve. These qualities combined with the proliferation of publicly available environmental data services from local, state, federal government and NGOs create the ideal market opportunity to bring a Watershed Data Lab (WDL) to America’s school’s.
    Broad Research Questions to integrate Data Science:
  • How do students learn data science concepts through watershed science investigations involving field studies, data analysis and watershed assessment?
  • How much data is required for impactful comprehension of watershed health? How early can students synthesize data to make reasonable assessments?
  • How do teachers learn to integrate data tools into their experiential learning instructional approaches?
  • Does exposure to a comprehensive data picture improve multidisciplinary understanding of a watershed or impact stewardship?
  • How The Watershed Data Lab Will Incorporate Data Science:
    The WDL will provide schools, which may lack the resources and expertise, with the ability to easily incorporate key data science and engineering practices into their curricula such as data management, geographic information systems, cataloguing, programming, experimental design, field data collection techniques and protocols, and data QA/QC procedures. The core components of the platform will include visual catalogs (for images, videos, documents, GIS), a mapping application (for viewing data and map features), wiki (for definitions and references), a data services engine (for aggregating and using public data) and data analysis tools. The work with our partners will guide us in the development of education modules and user templates for teaching data science fundamentals, collecting and analyzing data, making watershed assessments and telling stories. Lastly, the extensive and flexible content management system will allow schools to retain and archive valuable content and also allow students to easily search for information and data, while safeguarding their security and privacy from external online threats. Our goal is that the WDL will support inquiry into the natural world that will enforce key principles of data management and analysis environmental sustainability and natural resource management, while fostering environmental stewards from a young age.

Using Next Generation Science Standards

Science and Engineering practices:

  • Design, evaluate, and/or refine a solution to a complex real-world problem, based on scientific knowledge, student-generated sources of evidence, prioritized criteria, and tradeoff considerations (experiment design and field data collection, in addition to data standards, field protocols, and QAQC procedures)

Cross Cutting Concepts:
  • Environmental Feedback to stabilize or destabilize a system (restoration, water quality contamination)
  • Cause and effect relationships, suggest and predict, if x then y

Disciplinary Core Ideas:
  • Human Impacts on Earth Systems- environmental sustainability and biodiversity, responsible natural resources management
  • Ecosystem Dynamics, Functioning and Resilience- climate change, awareness and understanding
  • Biodiversity and Humans- how we depend on our living world for living and resources. How we effect and change our watershed/environment Performance Expectations
  • students learn how to change/decrease/mitigate their impact on the environment. Increase or maintain biodiversity. (learning and application, reports, presentation, education of their peers, parents, other community members).

  • 34 North has thousands of publically available data sets for explaining our environment and how our natural resources aremanaged.
  • 34 North is customizing our OpenNRM platform for education. We are integrating curriculm and adding learning resources on a daily basis.




  • The Watershed Classroom and Data Lab has pilot programs throughout the State of California and is actively seeking more.
  • Below is a list of our current OpenNRM implementations and data partners: