The promise and performance of data ecosystems
Australia’s Covid-19 response
Bibliographic Data
| ID | 7350311 |
|---|---|
| Authors | Cosmo Howard (0000-0003-2502-313X, Griffith University), Bernadette Hyland (0000-0002-6581-1408, Queensland University of Technology), Bernadette Hyland-Wood (Queensland University of Technology) |
| Year | 2024 |
| Volume | 52 |
| Issue | 1 |
| Pages | 108-130 |
| Publication date | 2024-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Policy & Politics (JOURNAL) |
| Journal identifiers | ISSN: 0305-5736 • E-ISSN: 1470-8442 |
| Publisher | Policy Press (PUBLISHER • GB) |
| DOI | 10.1332/03055736y2023d000000001 |
| OpenAlex | W4390605534 |
| Language | EN |
| Citations received | 2 |
| References cited | 20 |
Ecosystem metaphors are increasingly used to describe complex business and civil society relationships. This article argues that the rise of ecosystem thinking in public policy and administration represents a new, radically decentred model of policy action. It focuses on ecosystems of data-driven modelling and experts who use government public health data. This study presents a conceptual framework that suggests effective data ecosystems undergo organic adaptation, display institutional leadership, and respond instrumentally to policymakers’ information needs. It examines how Australia’s infectious disease data ecosystem performed before and during the COVID-19 pandemic. In-depth interviews with data experts involved in infectious disease modelling in Australia revealed trade-offs within and between organic, institutional and instrumental dimensions, which COVID-19 exacerbated. The article concludes that data ecosystems represent a hybrid form of policymaking in practice and that tensions must be managed to maximise the contributions of data ecosystems to facilitate evidence-informed decision-making
Adaptation (eye · Biology · Business · Coronavirus disease 2019 (COVID-19 · Disease · Economic growth · Economics · Ecosystem · Environmental resource management · Government (linguistics · Infectious disease (medical specialty · Pandemic · Political science · Public policy · Public relations · Data-Driven Disease Surveillance · Medicine · Ecology
Theories of the Policy Process
Reframing platform power
Complexity and Hybrid Public Administration—Theoretical and Empirical Challenges
The ecosystem services agenda
Creating Open Government Ecosystems
Governing the Pandemic
Authoritative Governance
Socialization in an Open Source Software Community
Ecosystem services in urban areas
Beyond Machiavelli
Planning and designing open government data programs
Open data policies, their implementation and impact
Governing by network
Crisis Decision‐Making on a Global Scale
From “Need to Know” to “Need to Share”
Staging Science
Decentring Policy Networks
Government statistical agencies and the politics of credibility
New directions in the study of policy networks
| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |