CTUIR-DNR Data Management Project

DNR Data Management

Improvement Project“To grow DNR Data Management

Maturity to provide reliable and timely data to

enrich and inform decisions.”

This is Accomplished by

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 forumsand Management and policy decisions based on the data

How is CTUIR achieving this?

Data Assessment Phases1. 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.

Phase IThe interview

Two tiersTier 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

43 people

• Managers/Supervisors(13)

• Projects(30)

What Did We Learn?

Stakeholders• Tribal Community • General Community• UIR Community

First Foods Element(Water, Salmon, Deer, Cous,

Huckleberry)• Salmon (15)• Water (13)• All (4)

~160 datasets

Datasets Consumed• 73 • ~1/2 from within

DNR

Data Sharing• 26 Agencies

Take Away Message

Manager/Supervisor • 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

Project Leaders and Staff

• Auto-generation of reports

• The ability to track and manage datasets

• Data that is ready for analysis and reporting

• Simple and easy user interfaces

Phase IIPrioritization

Five CriteriaOrganization 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)]

Relative Importance Ranking

1. Data Sharing and Organizational Decision Support 2. Impact Breadth3. Level of Effort4. Funder Preference

Adding Them Up!4*(Data Sharing) + 4*(Organizational Decision Support) + 3*(Impact Breadth) + 2 (Level of Effort) + Funder Preference

Prioritization Results1. Adult Weir2. Water Temperature/Chemistry/Sediment3. Stream Survey (Redds)4. Harvest Monitoring5. Screw Trap6. Video Monitoring7. Electroshocking8. Snorkeling9. Vegetation Plots10. Groundwater Elevation

Phase IIIThe Workplan

How do we do that?

Dataset Implementation

FormDataset Working Group

DRAFT“Standards &

Practices”

Comments&

Review

TrainLaunch!

Build Dataset

InCDMS

FinalRecommendati

on

How do we track these?

Project TrackingUser 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

Project Tracking

Rough SequenceNeeds Assess

Project Tracker Adult Weir

Water TempStream Survey (Redds)

Creel/Phone SurveyScrew Trap

Video MonitoringElectroshocking

SnorkelingVegetation Plots

Groundwater Elevation

We are Here!

Questions