Understanding and Improving Data Repurposing

We live in an age of unprecedented opportunities to use existing data for tasks not anticipated when those data were collected, resulting in widespread data repurposing. This commentary defines and maps the scope of data repurposing to highlight its importance for organizations and society and the need to study data repurposing as a frontier of data management. We explain how repurposing differs from original data use and data reuse and then develop a framework for data repurposing consisting of concepts and activities for adapting existing data to new tasks. The framework and its implications are illustrated using two examples of repurposing, one in healthcare and one in citizen science. We conclude by suggesting opportunities for research to better understand data repurposing and enable more effective data repurposing practices.

Authors

Institutions

Publication Details

Journal
MIS Quarterly
Published
2025-09-18
DOI
https://doi.org/10.25300/misq/2025/18361
Citations
2
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
4.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding and Improving Data Repurposing

Caren B. Cooper, Brad N. Greenwood, Jeffrey Parsons, Roman Lukyanenko
2 citations
MIS Quarterly
Data Quality and Management
4.21
article

Understanding and Improving Data Repurposing

Caren B. Cooper, Brad N. Greenwood, Jeffrey Parsons, Roman Lukyanenko
article en
2 citations

Abstract

We live in an age of unprecedented opportunities to use existing data for tasks not anticipated when those data were collected, resulting in widespread data repurposing. This commentary defines and maps the scope of data repurposing to highlight its importance for organizations and society and the need to study data repurposing as a frontier of data management. We explain how repurposing differs from original data use and data reuse and then develop a framework for data repurposing consisting of concepts and activities for adapting existing data to new tasks. The framework and its implications are illustrated using two examples of repurposing, one in healthcare and one in citizen science. We conclude by suggesting opportunities for research to better understand data repurposing and enable more effective data repurposing practices.

MIS QuarterlyVol. 50(1)
Memorial University of Newfoundland (CA), North Carolina State University (US), George Mason University (US), University of Virginia (US)
Openalex Percentile: Top 5%
Data Quality and Management
4.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Understanding and Improving Data Repurposing — Caren B. Cooper, Brad N. Greenwood, et al. · MIS Quarterly (2025) | TGRS Research Map | TGRS