Date of Award
2025
Degree Type
Open Access Dissertation
Degree Name
Information Systems and Technology, PhD
Program
Center for Information Systems and Technology
Advisor/Supervisor/Committee Chair
Yan Li
Dissertation or Thesis Committee Member
Samir Chatterjee
Dissertation or Thesis Committee Member
Itamar Shabtai
Terms of Use & License Information
This work is licensed under a Creative Commons Attribution 4.0 License.
Rights Information
© 2025 Jeanne Holm
Keywords
Data science, Ecosystem, Government, Open data, Transparency
Subject Categories
Political Science
Abstract
Governments around the world are releasing open data with the aim of stimulating innovation, driving economic development, and advancing social good. Despite significant investment in data infrastructure and technology, many open data initiatives struggle to effectively engage stakeholders or deliver on their intended outcomes. Thus, this dissertation targets the research question: How can a human-centered open government data ecosystem be modeled to ensure that stakeholders are engaged and find data? It also explores which stakeholders should be engaged and what methods are most effective in engaging them. To address the research questions, this dissertation adopts a design science methodology and develops the Model of Open Data Engagement (MODE) through iterative design and evaluation. The process began with a meta-analysis of open data literature to identify stakeholder roles and engagement mechanisms, followed by a review of existing ecosystem models. These insights informed an initial model, which was then refined through comparative analysis of four case studies: the United States, the United Arab Emirates, Sierra Leone, and the City of Los Angeles. A global survey was then conducted to test and refine the proposed model, which was further evaluated using the Indian case study. The final MODE framework presents a structured interaction between three primary stakeholder groups (i.e., data providers, data consumers, and data influencers) through specific engagement activities that are most effective for related interactions. These engagement pathways are further linked to distinct desired outcomes, achieving the tangible benefits of open data use. Theoretically, this dissertation advances open data research by providing a structured, stakeholder-centered model that links engagement activities to expected outcomes. It addresses gaps in earlier models by incorporating the interplay between stakeholder roles, motivations, and methods of engagement. Practically, the model serves as a diagnostic and design tool for governments aiming to build or strengthen open data ecosystems. By aligning engagement strategies with stakeholder needs, MODE supports more inclusive, responsive, and sustainable open data initiatives.
ISBN
9798297636491
Recommended Citation
Holm, Jeanne. (2025). Innovating Government the Open Way: Modeling the Open Data Ecosystem. CGU Theses & Dissertations, 1048. https://scholarship.claremont.edu/cgu_etd/1048.
