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Study Design: Developing a monitoring program that delivers results

Samantha Briggs Acting Clean Water Program Director Isaak Walton League. Study Design: Developing a monitoring program that delivers results. Barb Horn Water Resource Specialist Colorado Parks & Wildlife. Barb Horn Water Resource Specialist Colorado Parks & Wildlife. Colorado River Watch.

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Study Design: Developing a monitoring program that delivers results

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  1. Samantha BriggsActing Clean Water Program DirectorIsaak Walton League Study Design: Developing a monitoring program that delivers results Barb HornWater Resource SpecialistColorado Parks & Wildlife

  2. Barb HornWater Resource SpecialistColorado Parks & Wildlife Colorado River Watch EPA’s National Advisory Council for Environmental Policy and Technology = NACEPT COMMITTEE barb.horn@state.co.us

  3. Water Data Collaborative Goals • Increase the adoption of, and connection between, currently available best practices and technologies among water data collectors TO • Increase contributions of water data to state regulatory programs and open-data repositories through the Internet of Water. • Develop and implement technology that better enables shared water data TO • become actionable information to guide restoration and protection of water resources.

  4. Why a Water Data Collaborative? • Leverage efforts across major water quality monitoring organizations • Common Lexicon, Shared framework of BMP’s • Access to resources to support citizen science efforts

  5. WDC SIMPLY PUT: People HUb Do Good STuff = = DESIREdOUtcomes Data HUb =

  6. THE WATER DATA COLLABORATIVE SUPPORTING CITIZEN WATER SCIENCE E

  7. Understand who and what the Water Data Collaborative is • What is a Study Design? How does it relate to producing measurable results? (Four Key Design Areas) • How to align monitoring purpose, management uses, data users, information needs and products to produce ROI. • How to go from a Monitoring ? to measurable results, outcome, impacts (ROI)   • 5) What are my info needs and info products? Learning Objectives

  8. Do you have an existing monitoring program? Are you starting a program? Are you a service provider to CS/VM programs?

  9. Type in an example of a measurable result you produce or want to produce from your Citizen Science or Volunteer Monitoring Program. What Exactly is the Problem?

  10. TOP AGENCY CHALLENGEs WORKING WITH VM/CS Top Challenges for VM/CS • Volunteer Recruitment or Retention • Data Not Used • Consistent Resources • Communication • Beliefs – Experience • Resources or Capacity

  11. A CLOSER LOOK AT THE PROBLEM NOT RESOURCES Lack of or no integration w/ Vision, Alignment, Communication Monitoring is the End Effective and Appropriate Study Design or Monitoring Plan Which includes Evaluation Alignment of Purpose, Data Use, User, Information Needs, Products and ROI Abdicate Decision Making Power – not targeting right decision maker Difference Between Ed/Inform and Behavior Change No Evaluation Not generating, delivering or communicating information Data Management Planning / Design Framework

  12. Raise Hand if Have a Study Design or Monitoring Plan? Raise Hand if you evaluate your Design, Plan or Program

  13. Understand who and what the Water Data Collaborative is • What is a Study Design? How does it relate to producing measurable results? (Four Key Design Areas) • How to align monitoring purpose, management uses, data users, information needs and products to produce ROI. • How to go from a Monitoring ? to measurable results, outcome, impacts (ROI)   • 5) What are my info needs and info products? Learning Objectives

  14. Organization Type Data USES or USERS

  15. EFFECTIVE MONITORING PROGRAMs Produce Measurable, trackable or identifiable: Essential Building Blocks Outputs Outcomes Results Impacts

  16. quality Not ALL DESIGNS OR PLAnS ARE EQUAL Duration RESOURCES Rigor Complexity Formality

  17. Study Design or Monitoring Plan PLANNED DESIGNS that cover essential building blocks

  18. Who, Why & Info Needs = DRIVER What, When, Where, Data Quality & Management Data to Info Via Analysis, Interpretation, Reporting & Communication Will it Work How will You Know?

  19. Understand who and what the Water Data Collaborative is • What is a Study Design? How does it relate to producing measurable results? (Four Key Design Areas) • How to align monitoring purpose, management uses, data users, information needs and products to produce ROI. • How to go from a Monitoring ? to measurable results, outcome, impacts (ROI)   • 5) What are my info needs and info products? Learning Objectives

  20. SPIT BATH ASSESSMENT Have a ? What Are Your Expectations Impairment How Do Current Conditions Compare with Expectation? Restoration What Are Current Conditions? High Quality Protection Monitoring Design

  21. Natural Factors & Variability Ecological Health? Put Your Question here ? ? 1 2 Human Controlled Factors Study Design ? 3 5 Accurate Understanding Decision Maker / Management Decision / Action For 4

  22. What Is “Healthy”? What is “Restore”? What is “Impaired”? What is natural or possible?

  23. Generate #’s…But

  24. Understand who and what the Water Data Collaborative is • What is a Study Design? How does it relate to producing measurable results? (Four Key Design Areas) • How to align monitoring purpose, management uses, data users, information needs and products to produce ROI. • How to go from a Monitoring ? to measurable results, outcome, impacts (ROI)   • 5) What are my info needs and info products? Learning Objectives

  25. Each Monitoring ? Data Pathway Or Information Blue Print Condition /Trend – Impact – Effectiveness – Use Support Youth, Adults, Farmers, Managers, Districts, Local G, State G, Fed G Info needs & Products Continuum of ROI’s Behavior Change-Uses Met-Regulation-Policy-Health-Economy Evaluation Continuum of Study Purposes Continuum of Uses or Management Decisions Education – Inquiry – Advocacy – Planning – Regulatory - Legal Continuum of Users

  26. Understand who and what the Water Data Collaborative is • What is a Study Design? How does it relate to producing measurable results? (Four Key Design Areas) • How to align monitoring purpose, management uses, data users, information needs and products to produce ROI. • How to go from a Monitoring ? to measurable results, outcome, impacts (ROI)   • 5) What are my info needs and info products? Learning Objectives

  27. Who, Why & Info Needs = DRIVER

  28. Monitoring Question:

  29. MONITORING QUESTION 1:

  30. MONITORING QUESTION 1: Are Rivers Healthy?

  31. MONITORING QUESTION 1: Are Rivers Healthy?

  32. MONITORING QUESTION 1: MONITORING QUESTION 1: Are Rivers Healthy?

  33. MONITORING QUESTION 1: MONITORING QUESTION 1: Are Rivers Healthy?

  34. = USERS = Decision Makers • You, neighborhood • Board • Landowner, water user • government official (any level) • focused group of individuals • ALL or ANYONE! = USERS=list of info needs

  35. RESULTS - OUTCOMES – IMPACTS you want to See: Behavior Change-Uses Met-Regulation-Policy-Health-Economy • Because you answered that monitoring question • Specific to these data users/decisions/management uses and users

  36. Monitoring Question:

  37. Each Monitoring ? Data Pathway Or Information Blue Print Condition /Trend – Impact – Effectiveness – Use Support Youth, Adults, Farmers, Managers, Districts, Local G, State G, Fed G Info needs & Products Continuum of ROI’s Behavior Change-Uses Met-Regulation-Policy-Health-Economy Evaluation Continuum of Study Purposes Continuum of Uses or Management Decisions Education – Inquiry – Advocacy – Planning – Regulatory - Legal Continuum of Users

  38. Understand who and what the Water Data Collaborative is • What is a Study Design? How does it relate to producing measurable results? (Four Key Design Areas) • How to align monitoring purpose, management uses, data users, information needs and products to produce ROI. • How to go from a Monitoring ? to measurable results, outcome, impacts (ROI)   • 5) What are my info needs and info products? Learning Objectives

  39. Raw Data Design for Information Delivery Exit Points Information Products Analyses Recommendations Interpretation Identify INFO NEEDS, information products & delivery..

  40. Monitoring Question:

  41. Who, Why & Info Needs = DRIVER What, When, Where, Data Quality & Management Data to Info Via Analysis, Interpretation, Reporting & Communication Will it Work How will You Know?

  42. PLANNED DESIGNS

  43. Volunteer Monitoring Program should be designed to serve data objectives not visa versa

  44. Data Readiness: READY TO CREATE INFO PRODUCTS Make A Difference Evaluate Plan/Gather Camp 1 Camp 2 Camp 3

  45. Meta Field Nutrients Metals Bugs Phys Hab Enter Website Lab generates Excel provided by taxonomist Enter in System Station Status Validate Manipulate –excel Metals- Access Scan drawing Scan drawing Org Status Upload System Upload To Val Taxa List Validate Dump Reports Participant Status Validate Validate Dump Reports Project Upload System Dump Reports Dump Reports Pick Lists Example of beginning of raw data mapping for CO River Watch Inventory every indicator- Birth to Death

  46. Raw Data Design for Information Delivery Exit Points Information Products Analyses Recommendations Interpretation Identify INFO NEEDS – Develop Info Products to serve info needs

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