Data-informed decision-making (DIDM) refers to the collection and analysis of data to guide decisions that improve success.[1] DIDM is used in education communities (where data is used with the goal of helping students) but is also applicable to (and thus also used in) other fields in which data is used to inform decisions. While data-driven decision-making is a more common term, data-informed decision-making is a preferable term since decisions should not be based solely on quantitative data.[2][3] Most educators have access to a data system for the purpose of analyzing student data.[4] These data systems present data to educators in an over-the-counter data format (embedding labels, supplemental documentation, and a help system, making key package/display and content decisions) to improve the success of educators’ data-informed decision-making.[5]
^U.S. Department of Education Office of Planning, Evaluation and Policy Development (2009). Implementing data-informed decision making in schools: Teacher access, supports and use. United States Department of Education (ERIC Document Reproduction Service No. ED504191)
^Knapp, M. S., Swinnerton, J. A., Copland, M. A., & Monpas-Hubar, J. (2006). Data-informed leadership in education. Seattle, WA: Center for the Study of Teaching and Policy.
^U.S. Department of Education Office of Planning, Evaluation and Policy Development (2009). Implementing data-informed decision making in schools: Teacher access, supports and use. United States Department of Education (ERIC Document Reproduction Service No. ED504191)
