Skip to main content

Research Repository

Advanced Search

An adaptable system to support provenance management for the public policy-making process in smart cities

Javed, Barkha; Khan, Zaheer; McClatchey, Richard


Barkha Javed

Zaheer Khan
Professor in Computer Science


© 2018 by the authors. Government policies aim to address public issues and problems and therefore play a pivotal role in people’s lives. The creation of public policies, however, is complex given the perspective of large and diverse stakeholders’ involvement, considerable human participation, lengthy processes, complex task specification and the non-deterministic nature of the process. The inherent complexities of the policy process impart challenges for designing a computing system that assists in supporting and automating the business process pertaining to policy setup, which also raises concerns for setting up a tracking service in the policy-making environment. A tracking service informs how decisions have been taken during policy creation and can provide useful and intrinsic information regarding the policy process. At present, there exists no computing system that assists in tracking the complete process that has been employed for policy creation. To design such a system, it is important to consider the policy environment challenges; for this a novel network and goal based approach has been framed and is covered in detail in this paper. Furthermore, smart governance objectives that include stakeholders’ participation and citizens’ involvement have been considered. Thus, the proposed approach has been devised by considering smart governance principles and the knowledge environment of policy making where tasks are largely dependent on policy makers’ decisions and on individual policy objectives. Our approach reckons the human dimension for deciding and defining autonomous process activities at run time. Furthermore, with the network-based approach, so-called provenance data tracking is employed which enables the capture of policy process.


Javed, B., Khan, Z., & McClatchey, R. (2018). An adaptable system to support provenance management for the public policy-making process in smart cities. Informatics, 5(1), 1-26.

Journal Article Type Article
Acceptance Date Dec 29, 2017
Publication Date Jan 8, 2018
Journal Informatics
Electronic ISSN 2227-9709
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 5
Issue 1
Pages 1-26
Keywords network-based approach, workflows, provenance, policy-making, smart cities, smart government, smart governance, public sector
Public URL
Publisher URL


You might also like

Downloadable Citations