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DANRIS-X: Why, When, How?!

DANRIS-X: Why, When, How?!. New Advisor Training September 24, 2009 Web Conference. Desired Outcomes. Understanding of the DANRIS-X components and their linkages Understanding of the uses of DANRIS-X data Understanding of the DANRIS-X reporting calendar

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DANRIS-X: Why, When, How?!

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  1. DANRIS-X: Why, When, How?! New Advisor Training September 24, 2009 Web Conference

  2. Desired Outcomes • Understanding of the DANRIS-X components and their linkages • Understanding of the uses of DANRIS-X data • Understanding of the DANRIS-X reporting calendar • Understanding of the Academic Annual Evaluation DANRIS-X retrieval • Understanding how to define and report outcomes • Awareness of available DANRIS-X Help resources

  3. Plan for the Day 5’ Welcome & Introductions Katherine 35’ Overview presentation Katherine/David 45’ Review the application Chris/David 5’ Wrap-up/Meeting evaluation Adjourn 120’ Call-in with specific questions

  4. Why do we have DANRIS-X? • Eliminate duplicative effort; link current systems • Provide accountability to stakeholders (local, county, state, and federal governments and the general public) • Document programmatic outcomes/impacts more fully • Document that all CE programs comply with USDA non-discrimination policy

  5. CRIS Reporting System AES Faculty Linking Our Systems Federal Annual Plan & Report DANRIS-X Annual Plan CE Specialists State, County Reports DANRIS-X Annual Report CE Specialists DANRIS-X Annual Plan CE Advisors Other Reports DANRIS-X CASA CE Advisors CE Advisor PR, Annual Evaluation DANRIS-X Annual Report CE Advisors

  6. How Administration Uses DANRIS-X Data • Federal Annual Plan and Report • ANR Program Planning/Resource Allocation • Legislative/External/Internal Requests

  7. UNIVERSITY OF CALIFORNIA DIVISION OF AGRICULTURE AND NATURAL RESOURCES 2007 Combined Research and Extension Federal Annual Report Agricultural Experiment Station and Cooperative Extension Submitted April 1, 2008 Approved May 19, 2008 UNIVERSITY OF CALIFORNIA DIVISION OF AGRICULTURE AND NATURAL RESOURCES FY 2009-2013 Combined Research and Extension Federal Plan Agricultural Experiment Station and Cooperative Extension Submitted April 1, 2008 Approved May 19, 2008

  8. How Government Uses Our Reporting Info. • Demonstrate Accountability • Secure Funding / Budget Cycle • Policy Making • Generate Public Support

  9. ◆ ◆ ◆ ◆ ◆ advisors self- reporting in DANRIS-X FTE (.10 -1.00) ANR Pest Mgt Issue (plants) ◆ ◆ ◆ Lucia Varela, North Coast ( Sonoma) ◆◆◆◆ ◆◆ ◆◆◆ ◆◆ ◆◆ ◆ ◆ ◆ ◆◆◆ ◆◆ ◆ ◆◆ ◆◆ ◆◆ ◆ ◆ ◆ ◆◆◆◆ ◆ ◆◆ ◆◆◆◆ ◆ ◆◆◆◆ ◆ ◆ ◆◆ ◆◆ ◆ ◆◆◆◆◆ Cheryl Wilen, San Diego ANR Pest Management Activity IPM Advisors IPM Affiliated Advisors Carolyn Pickel, Sacramento Valley (Sutter-Yuba) Affiliated: John Roncoroni (Napa) Anil Shresta separated (Central Valley, KAC) Affiliated: Steve Swain (Marin) Pete Goodell, Jim Stapleton, Walt Bentley –Central Valley (KAC) Affiliated: David Haviland (Kern) Phil Phillips Retired (Central Coast, Ventura) June, 2008

  10. How Advisors can use DANRIS-X data • Program Development • Captures logic model information: need, participation, activities, outputs, outcomes • Accountability • Document providing goods/services/results and compliance with non-discrimination policy • Merit and Promotion process (Optional) • Use the Annual Evaluation Retrieval • Record information for Program Review Dossier • In the future • Network using the database search

  11. Academic Annual Evaluation Retrievals • Data retrieved from DANRIS-X Plan & Report • 2 Retrievals: Parts of Sections A & B and Section C • Available as Word document to download • Access on the Program Review website or in the DANRIS-X application • Upload to on-line Program Review web site

  12. DANRIS-X Calendar Based on federal fiscal year: FY 2009 = Oct 1, 2008 – Sept 30, 2009 Oct 19, 2009 FY 2009 Report and CASA CLOSES Oct 22, 2009 FY 2010 Report and CASA OPENS Oct 22, 2009 Annual Evaluation Retrieval AVAILABLE Nov 17, 2009 Academic Annual Evaluation DUE on PR site Nov 9, 2009 CD CASA Reports DUE Jan 11, 2010 FY 2011 Plan OPEN Mar 9, 2010 FY 2011 Plan CLOSES

  13. Advisors’ 3 Modules • CASA • Annual Plan • Annual Report

  14. CASA(Contacts And Self Assessment) • Clientele groups definitions • Actual contacts • Outreach methods • Outreach accomplishments

  15. Advisor Annual Plan • County FTE allocation • ANR Issue/Knowledge Area FTE • Projects/Programs • Situation Statements • Clientele • Commodities • Methods • Anticipated Outcomes • Multi-state Activities

  16. Advisor Annual Report Projects/Programs: • Activities • Actual Outcomes • Publications • Grant Support • Multi state Activities Individual Information (optional): • University/Public Service • Professional Competence • Annual Evaluation Narratives

  17. Emphases on Results • Quantification of activities/products – Outputs • Quantification of accomplishments – Outcomes • Documentation of longer-term effects -Impacts

  18. Outputs:What did you deliver? • Direct Extension Methods • Classes, Workshops, Field Days… • Indirect Extension Methods • Newsletter, Websites, Radio Programs… • Research and Creative Activity Methods • Basic/Applied Research, Videos, Curricula… • Publications

  19. Outcomes: How was the group/area affected? • Learning Outcomes ~short-term changes • Knowledge • Attitude • Skill • Action Outcomes ~ medium-term changes • Behavior/Practice • Condition Outcomes (Impacts) ~ long-term changes • Social/Health • Economic • Environmental

  20. Steps for Defining an Outcome • What? • Who? • Quantification?

  21. KnowledgeOutcome: • 1388 child care staff and parents of preschool children gained knowledge on packing safe and healthy brown bag lunches for preschool children

  22. Behavior Outcome: • 175 rice farmers and pest control advisers developed weed management programs that rotate modes of action on at least 50% of the total acreage to minimize herbicide resistance development.

  23. Economic Outcome/Impact: • Pistachio owner/operators, with orchards covering 50,000 acres, have begun to utilize mechanical pruning instead of labor-based cultural practices, which reduced their management costs from $200 per acre to about $50.

  24. Program Action: Logic Model Outcomes Activities/ Outputs Knowledge & Behavior Situation Inputs Impacts Plan Situation Statement: Identify Problem or Need Report Grants: Invest Staff, Volunteers, Money, Materials Report Activities & Publications: Deliver Products or Services Report Outcomes: Change in Program Participants Report Outcomes: Change to Population or Area

  25. Next Steps • Form a DANRIS-X advisory committee • Get feedback from advisors, specialists and administrators through survey and/or focus groups • Consider feedback and administrative and programmatic needs to determine changes/enhancements • Work on a “datamart” query system for all users to retrieve information in real time • Ability to search system

  26. Resources • People • Christopher Hanson: (510) 987-0628 or christopher.hanson@ucop.edu • Katherine Webb-Martinez: (510) 987-0029 or katherine.webb-martinez@ucop.edu • David White: (510) 987-0095 or david.white@ucop.edu (For CASA content/policy only) • Website: http://ucanr.org/danris-x • ANR Core Issues document • Knowledge Area Classification document • Report & CASA Manuals • PowerPoint presentations

  27. The End… • Questions? • Comments?

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