The Data-Informed City
A Conceptual Framework for Advancing Research and Practice
Bibliographic Data
| ID | 12839331 |
|---|---|
| Authors | J De Jong (0000-0002-3041-7793, Harvard University), Fernando Fernandez-Monge (0000-0002-2398-0131, Harvard University, corresponding author), Quinton Mayne (0000-0003-4681-5515, Bloomberg (United States)), Nick Vachon (Harvard University) |
| Year | 2025 |
| Volume | 30 |
| Issue | 3 |
| Pages | 201-217 |
| Publication date | 2025-06-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.1177/15701255251335459 |
| OpenAlex | W4411536560 |
| Language | EN |
| Citations received | 2 |
| References cited | 78 |
Over the last decades, scholars and practitioners have focused their attention on the use of data for improving public action, with a renewed interest in the emergence of big data and artificial intelligence. The potential of data is particularly salient in cities, where vast amounts of data are being generated from traditional and novel sources. Despite this growing interest, there is a need for a conceptual and operational understanding of the beneficial uses of data. This article presents a comprehensive and precise account of how cities can use data to address problems more effectively, efficiently, equitably, and in a more accountable manner. It does so by synthesizing and augmenting current research with empirical evidence derived from original research and learnings from a program designed to strengthen city governments’ data capacity. The framework can be used to support longitudinal and comparative analyses as well as explore questions such as how different uses of data employed at various levels of maturity can yield disparate outcomes. Practitioners can use the framework to identify and prioritize areas in which building data capacity might further the goals of their teams and organizations
Big data · Business · Conceptual framework · Data mining · Data science · Knowledge management · Management science · Maturity (psychological · Political science · Process management · Salient · Social science · Sociology · Computer Science · E-Government and Public Services · Engineering · Human Mobility and Location-Based Analysis · Smart Cities and Technologies · Artificial Intelligence
Typologies and Taxonomies
Data Feminism
Methodological fit in management field research
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions
Big data in the policy cycle
Big Data and Big Cities
Concepts and Indicators of Local Authority Performance
Seeking Qualitative Rigor in Inductive Research
Beyond Markets and States
An orchestration approach to smart city data ecosystems
World Development Report 2021
Smart governance in the context of smart cities
Datapolis
State Capabilities for Problem-Oriented Governance
Legitimacy of Algorithmic Decision-Making
Smart Governance For Sustainable Cities
Smart Governance
Exploring open government data capacity of government agency
Data management maturity assessment of public sector agencies
Is big data used by cities? Understanding the nature and antecedents of big data use by municipalities
Customer agility and responsiveness through big data analytics for public value creation
Determinants of data sharing in U.S. city governments
Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making
Public value creation in digital government
The great theory hunt
Open data policies, their implementation and impact
Open data outcomes
Big data analytics, resource orchestration, and digital sustainability
Identifying the value of data analytics in the context of government supervision
The real-time city? Big data and smart urbanism
Effective Practices for Interagency Data Sharing
The governance of smart cities
One approach does not fit all (smart) cities
Support for All in the UK Work Programme? Differential Payments, Same Old Problem
Show Me the Numbers
Big Data in the Public Sector
The data-technology nexus in South African secondary cities
Big Data in Public Affairs
From “Need to Know” to “Need to Share”
Do Policy Makers Use Academic Research? Reexamining the “Two Communities” Theory of Research Utilization
Toward More “Evidence‐Informed” Policy Making
Analyzing the Complexity of Performance Information Use
We All Need Help
To do more, better, faster and more cheaply
Leveraging Administrative Data to Better Serve Children and Families
State Agencies’ Use of Administrative Data for Improved Practice
When Local Governments Request Access to Data
Efforts to Improve Public Policy and Programs through Data Practice
Reflections on three decades of digital transformation in local governments
Evidence-Based Practice and the Use of Information in State Agency Decision Making
Making Data Speak
Illegible Claims, Legal Titles, and the Worlding of Bangalore
What makes a city smart? Identifying core components and proposing an integrative and comprehensive conceptualization
Big data and the measurement of public organizations’ performance and efficiency
Critical Questions for Big Data
The value of Big Data in government
What is data justice? The case for connecting digital rights and freedoms globally
Building a Conceptual Framework
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |