Jul 2026· International Journal of Population Data Science· Vol 11· 0 citations
Medicine
Abstract
This paper presents MDI’s Data Governance Transformation (DGT) project, an already-in-use data governance policy & infrastructure framework developed to support robust implementation of Privacy Enhancing Technologies (PETs), govern rapid AI development, and confront precedent shattering data use in the United States. As government agencies increasingly rely on complex and distributed data ecosystems, traditional data management approaches have proven insufficient to ensure data quality, accessibility, privacy, and interoperability. This framework establishes a cross-functional data governance structure that includes clearly defined roles, a RACI (Responsible, Accountable, Consulted, Informed) matrix, a standardized change control process, and an architecture rooted in medallion-style data layering. It also includes practical guidance on the following: conducting a data inventory, aligning with cloud and privacy requirements, and coordinating with contractors to ensure data portability and reproducibility. By embedding PETs and clear accountability mechanisms, this framework not only supports compliance with regulatory mandates but also enables data-driven decision-making and responsible use of AI. The framework serves as a replicable model for other government and non-government entities seeking to implement or refresh their data governance strategies to meet the demands of modern public service delivery.
The findings are that companies that implement organized governance systems record dramatic advancement in the quality of data, compliance rates, and the accuracy in analytics, and the need to incorporate governance frameworks in enterprise analytics strategies to promote sustainable data-driven change is highlighted.
Jessica Rachel Brown· International Journal of App...· 0 citations
Companies now collect more information about the greenhouse gas emissions of what they buy than ever before, yet much of it never shapes a purchasing decision. This review examined why carbon information so often remains unused in procurement and proposed an organisational and data-governance model to close the gap. A doctoral analysis of information processes in sustainable procurement was synthesised with open-access research published between 2021 and 2026, covering data governance, data ecosystems, sustainable procurement and supply-chain carbon accounting. Carbon information emerged as a layered system in which data, digital systems, decision models and organisational structures depend on one another, so that a weakness in any layer disables the rest. Two layers that practice neglects most received closest attention. At the data-governance layer, reliability rested on clear ownership of each figure, harmonised calculation and verification standards, and reporting arranged to protect data quality. The organisational layer demanded more: a deliberate balance between central and local control, standing coordination among procurement, sustainability and technical functions, carbon indicators built into sourcing targets, and staff able to interpret emissions figures. Evidence from public purchasing and from firm-level studies indicated that disciplined procurement governance measurably lowered emissions. The review concluded that the obstacle to acting on carbon information is organisational before it is technical, and that assigning responsibility and governance should precede further investment in measurement tools.
Keywords: carbon information governance, data governance, sustainable procurement, organisational design, data ownership, scope 3 emissions, supplier carbon data
Lukas Büeck, L. Ritter· International journal of res...· 0 citations
The Somali case suggests that digital sovereignty in fragile states should be treated as an uneven governance capacity that can be strengthened incrementally rather than as an all-or-nothing condition of technological independence.
A. Abdi, A. Abdulle, Maryan Mohamud Hambali· Discover Global Society· 1 citation
Smart governance represents a modern approach to public administration that uses digital technologies, data-driven decision-making, and citizen-centric service models to improve efficiency, transparency, and accountability. With the rapid growth of information and communication technologies (ICT), governments are shifting from traditional bureaucratic systems to digitally transformed governance models that emphasize interoperability, inclusiveness, and responsiveness. Technologies such as e-governance platforms, mobile government services, artificial intelligence, blockchain, and cloud computing are reshaping the government–citizen relationship. This study proposes an integrated policy framework for smart governance to ensure secure, accessible, and sustainable digital public service delivery. Using a multidisciplinary and mixed-method approach, including policy analysis, global case studies, and quantitative performance evaluation, the research examines factors such as interoperability, citizen engagement, institutional capacity, and regulatory compliance. The findings indicate that governments with integrated policy and strong technological governance achieve higher efficiency and greater public trust. However, challenges such as cybersecurity risks, data privacy concerns, digital illiteracy, and organizational resistance remain significant barriers. The study recommends strategic policy interventions and collaborative governance models to support sustainable digital transformation in public administration.
Jose Fernandez, M. González· International Journal of Eme...· 0 citations
This work explicates the trust and transparency trade-offs of the design choices in implementing a DAO and highlights how poor choices introduce critical vulnerabilities, using real-world examples as case studies.
Vabuk Pahari, B. Chandrasekaran, Johnnatan Messias et al.· 0 citations
The findings provide a conceptual basis and strategic guidelines for future DPP deployment, highlighting the importance of appropriate governance mechanisms to strengthen the DPP’s role as a catalyst for the circular economy.
Xabier Narbaiza Iriondo, Borja Diez-Cañamero, Irantzu Calvo Santamaria· Circular Economy and Sustain...· 0 citations