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“To grow DNR Data Management Maturity to provide reliable and timely data to enrich and inform decisions.”

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Presentation on theme: "“To grow DNR Data Management Maturity to provide reliable and timely data to enrich and inform decisions.”"— Presentation transcript:

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2 “To grow DNR Data Management Maturity to provide reliable and timely data to enrich and inform decisions.”

3 Managing data quality, Securely storing data, Analyzing data, and providing data for synthesis This will allows for: Representation of the data in internal and external forums and Management and policy decisions based on the data

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5 Data Assessment Phases 1.Phase I-Conduct interviews 2.Phase II-Prioritization of the information captured in the interview process 3.Phase III-A work plan for the development of a CDMS a.CDMS work process and timeline. b.Periodic check-ins with program managers and the steering committee.

6 The interview

7 Tier one - Program Managers and Supervisors. Information needs in order to perform their jobs Tier two - Project Leaders and Staff Reporting needs as well as the number and types of data collected

8 Managers/Supervisors(13) Projects(30)

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10 Tribal Community General Community UIR Community

11 Salmon (15) Water (13) All (4)

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13 73 ~1/2 from within DNR

14 26 Agencies

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16 Good quality summary information that is readily accessible for presentation and/or for use in reports. The ability to easily track projects progress and processes

17 Auto-generation of reports The ability to track and manage datasets Data that is ready for analysis and reporting Simple and easy user interfaces

18 Prioritization

19 Organization Decision Support: Does this dataset inform a management plan (1), the issuance of a permit from a DNR program (2), or is used for DNR regulatory purposes (3), or informs more than 1 process (4)? Data Sharing: Requirement to provide this dataset to an outside agency. Inclusion in the CDMS would reduce the administrative burden to provide it? [Yes (2)/No (1)] Impact Breadth: Impact of a dataset on the entire DNR department by quantifying the number of people within DNR whom both Consume and Produce the dataset? [>8 People (3), 4-7 People (2), <3 People (1)] Level of Effort: The effort that will be required to migrate to the CDMS and automation of future data collection processes. [High (1), Moderate (2), Low (3)] Funder Preference: Currently funding the DNR Database Development Effort? [Yes (2)/No (1)]

20 1. Data Sharing and Organizational Decision Support 2. Impact Breadth 3. Level of Effort 4. Funder Preference

21 4*(Data Sharing) + 4*(Organizational Decision Support) + 3*(Impact Breadth) + 2 (Level of Effort) + Funder Preference

22 1. Adult Weir 2. Water Temperature/Chemistry/Sediment 3. Stream Survey (Redds) 4. Harvest Monitoring 5. Screw Trap 6. Video Monitoring 7. Electroshocking 8. Snorkeling 9. Vegetation Plots 10. Groundwater Elevation

23 The Workplan

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25 Form Dataset Working Group DRAFT “Standards & Practices” Comments & Review Train Launch! Build Dataset In CDMS Final Recommendation

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27 User Interface/Dashboard House Datasets Manage Files Manage Reports Generate maps Manages the Public Side of the DNR website Provides data for maps and webpages Manages Permissions to a Project

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29 Rough Sequence

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