Research on Data Use: A Framework and Analysis
Abstract
One of the central lessons from research on data use in schools and school districts is that assessments, student tests, and other forms of data are only as good as how they are used. But what influences how they are used? This relatively straightforward question turns out to be fairly complex to answer. Data use implicates a number of processes, conditions, and contexts. It involves interpretive processes, as using data requires that the user interpret the data and construct implications for next steps. It implicates social and organizational conditions, since the data use unfolds in the context of a multileveled organizational system. And, because data can be a source of power, particularly in the current accountability environment, data use also involves power relations. In this article, we put forward a framework for understanding the phenomenon of data use in the context of data use interventions. We draw on existing research and theory to identify key dimensions of data use that we should attend to and offer a way to understand how these dimensions might interact. In so doing, we provide guidance for studying the pathways between data use interventions and various outcomes of value.
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The data use theory of action was built from analyses of several data use models and frameworks.
“Our data use theory of action (Schildkamp & Poortman, 2015, p. 5) is based on the analyses of several data use models and frameworks”
From Data teams for school improvement (2016) · cites this paper as Coburn & Turner, 2011
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References 134 · Cited by 365
- Authors
- Coburn, C. E., & Turner, E. O.
- Affiliations
- University of California System (US)
- University of Wisconsin System (US)
- Corresponding author
- Coburn, Cynthia E.
- ORCID
- Turner, Erica O.
- Venue
- Measurement: Interdisciplinary Research and Perspectives
- Publisher
- Informa UK Limited
- Published
- 2011-10
- Volume
- 9
- Issue
- 4
- Pages
- 173-206
- ISSN
- 1536-6359 (ISSN-L)
- 1536-6367
- OpenAlex
- W2038748137
- Cited by
- 365
- References
- 134
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 14 · 2023: 22 · 2022: 49 · 2021: 31 · 2020: 38 · 2019: 36 · 2018: 23 · 2017: 32 · 2016: 36 · 2015: 25 · 2014: 19 · 2013: 9 · 2012: 4
- FWCI
- 24.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Measurement Interdisciplinary Research and Perspectives (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Educational Assessment and Improvement
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Education › Teacher Education and Assessments
- Keywords
- data utilization, educational data, school evaluation, student testing, data interpretation, power relations, educational accountability, organizational conditions, school districts
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