Digital Government Implementation: A Comparative Study in USA and Russia

Although e-government comparative studies are relatively new, there exist a number of approaches to conducting comparisons of e-government development. In this article we employ one of these approaches to study a well-defined topic, e-government, in two contexts at the national level. Our goal is to identify both similarities and differences in problems, challenges and solution approaches in e-government development at the national level of governance. We use a case study method to describe the objects of comparison – the national e-government systems of USA and Russia from qualitative perspective

Exploring 311-Driven Changes in City Government

Through a case study of the City of Philadelphia’s 311 service, Philly311, this paper creates new understanding about city-level service integration enabled by a 311 service center, in terms of how the capabilities of 311-enabled service integration influence the city government in both citizen-facing and internal management side. The analysis is based on findings from semi-structured interviews with executives of Philadelphia, staff of Philly311 contact center, and representatives of other departments related to Philly311. The contact center serves for residents, businesses, and visitors as a front line of municipal services. The 311 service enhances transparency and accountability of service delivery by empowering citizens to engage more and easier in their neighborhoods and communities. The 311 service enables the city to gain more efficiency and effectiveness by allocating and using operational resources based on performance data. For that, the 311 center requires interdepartmental collaboration and cooperation in city government

Teaching Data Quality Concepts Through Case Studies

It is estimated that as much as 75% of the effort spent on building a data warehouse can be attributed to back-end issues, such as readying the data and transporting it into the data warehouse. Data quality tools are becoming an increasingly important resource in preparing the data for the warehouse, thus enhancing the usability of the warehouse. This tutorial, based on current research in the field, will focus on a methodology for managing data quality issues. The tutorial will present a framework for identifying data quality issues and making sense of the data quality tools marketplace. A case study approach will be used. The methodology presented is applicable both as a tool to teach about data quality issues and as a tool to support practitioners as they seek mechanisms to facilitate the management of data, yet ensure appropriate data quality

Introduction to Emerging Topics in Electronic Government Minitrack

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An Innovative Methodology for Conceptualizing and Evaluating Government Information Systems: The CTG Approach

The paper describes CTG’s interdisciplinary approach to conceptualizing and evaluating government information systems. The CTG partnership approach emphasizes an iterative process that fosters organizational learning in a neutral, low-risk environment. CTG’s partnership model brings together individuals from government agencies, vendors of technology and technology services, and university faculty and students across a range of disciplines to evaluate the potential costs and benefits of technology solutions in the context of programmatic and policy objectives. The CTG methodology is described both generally and more specifically through a discussion of three distinct programs of activity focused on aspects of information system conceptualization and evaluation in the public sector

Minority Health Disparities in a 21st-century Pandemic: A Comprehensive Report of Project Research Focused on New York

The COVID-19 pandemic has exacted a starkly unequal toll on New Yorkers of color – both in terms of the virus itself and the accompanying social and economic impacts of the pandemic. These are not separate issues. They stem from the structural racism embedded in American society. While our work begins by establishing a statistical baseline for how the virus’s unequal toll played out in the early months of the COVID-19 pandemic in New York, any analysis of these disparities that looks solely at hospitalizations and deaths misses a tremendous piece of this tragic and preventable story. Minority health disparities have always existed in the United States. But COVID-19 has exposed and exacerbated these disparities in ways policymakers cannot ignore; doing so would mean accepting inequity with life and death consequences. The COVID-19 pandemic also exposed gaps in existing knowledge about the causes of these inequities and, more important, how to end them. We need, for example, more and better data about the toll of the virus in New York’s Indigenous communities and Indigenous communities more generally. Additionally, our work suggests important differences exist in the way different minority groups experience the progression of the disease.More work is needed to fully explore those differences and their causes, particularly as they relate to additional minority communities in New York. This project has been an important initial step toward filling some of these gaps and identifying interventions that, by necessity, must be informed by and rooted in community experiences and insight. The University at Albany began this project at the direction of Gov. Andrew Cuomo with extreme urgency at the height of the most serious public health emergency New York has faced in a century. That urgency led to the creation of a new health equity research ecosystem at UAlbany that will long outlast this project and continue to produce new knowledge, insights, and recommendations to combat future public health threats we have yet to even imagine. The trauma inflicted on New Yorkers by the COVID-19 pandemic cannot be undone. But university researchers and government policymakers should jointly pledge to do everything in their power not to allow the lessons learned from COVID-19’s unequal path across New York to go unheeded

The Salience and Urgency of Enterprise Data Management In the Public Sector

In this emerging topics paper, we argue that enterprise data management is a key enabler for new and innovative uses of data. Given widespread recognition of the public value potential of these new uses of data, enterprise data management capability is increasingly salient and recognized as urgent. We further argue that creating capability for enterprise data management is poorly understood. However, since enterprise data management is a future practitioner imperative, new research from the digital government community addressing the challenges to creating such capability is required. We illustrate the salience and urgency of enterprise data management through three vignettes that highlight the potential of such efforts to reorganize the public sector along new data oriented lines. A focus on the role of governance and the chief data officer as key enablers to creating public value from data highlight the need for research in these areas