Conceptual Model of Comprehensive Research Metrics for Improved Human Health and Environment
Author(s) -
Jill EngelCox,
Bennett Van Houten,
Jerry Phelps,
Shyanika W. Rose
Publication year - 2008
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.10925
Subject(s) - logic model , accountability , sustainability , conceptual model , government (linguistics) , portfolio , management science , business , knowledge management , computer science , political science , engineering , public administration , ecology , linguistics , philosophy , finance , database , law , biology
Federal, state, and private research agencies and organizations have faced increasing administrative and public demand for performance measurement. Historically, performance measurement predominantly consisted of near-term outputs measured through bibliometrics. The recent focus is on accountability for investment based on long-term outcomes. Developing measurable outcome-based metrics for research programs has been particularly challenging, because of difficulty linking research results to spatially and temporally distant outcomes. Our objective in this review is to build a logic model and associated metrics through which to measure the contribution of environmental health research programs to improvements in human health, the environment, and the economy.
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