Towards a Metrics Implementation Plan - UCAR Finance ...

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Figure 2. Proposed MIP process timeline18
Appendix A: Mapping of UCAR Metrics to NRC Metric TypesTable A-1. Metrics to Characterize the Productivity, Quality, Impact, and Efficiency of UCAR ProgramsGeneral—Apply to more than one category of UCAR activities1. External awards (e.g., AMS, AGU, AAAS)2. Number and dollar value of proposals written and funded3. Number of peer-reviewed papers and conference presentations4. Invitationsa. To chair or serve on external committees, boards, etc.b. To present invited papers or talks5. Leadership and participation in community activities such as NRC committees, IPCC, WMO, AMS activities, reviewcommittees, etc., especially when they are by invitation only6. Election to prestigious positions (such as president of professional societies)7. Number of external collaborators and coauthored papers8. Number of workshops, tutorials, and seminars9. Degree of satisfaction of users (e.g., through surveys)10. Administrative overhead for programs and facilitiesKey metrics used in ten categories of UCAR activities1.0 Science1. Peer-reviewed publications2. Citation rates3. Reference to or inclusion in major scientific assessments (e.g., IPCC)4. Coauthored papers5. Number of prestigious awards or positions such as NAE and NAS memberships6. Quality of letters of recommendation for promotion7. Specific examples of outstanding discoveries or contributions2.0 Scientific visitors and postdoctoral fellows1. Number of visitors and visitor-days per year2. Number of collaborations with UCAR scientists3. Amount of visitor funding4. Feedback from visitors and postdoctoral fellows3.0 Computing facilities1. Power and quality of hardware and software (e.g., computational power [computing cycles]), visualization platforms, dataarchival and delivery systems, and size of data set archived and used)2. Number of software and other applications developed and used by community3. Number of users4.0 Community models1. Number of users (individuals and institutions) of models or output of models2. Number of workshops and tutorials3. Number of responses to enquiries for technical or other help4. Computation efficiency, usability on different platformsOutput metricsA-1
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