Jul 2026· Media and Communication· Vol 14· 0 citations· 54 references
TL;DR
It is argued that shared infrastructures function as vital institutional interventions to ensure independent, reproducible, and ethical digital media research in a continuously evolving media environment.
Abstract
Digital platforms have fundamentally transformed public communication, yet the capacity to study them is increasingly threatened by restricted data access, opaque algorithmic architectures, and complex legal barriers. Addressing these challenges requires a paradigm shift from isolated, project-based solutions toward shared, national-scale research infrastructures. We present the Australian Internet Observatory (AIO) as a case study of a multi-year initiative designed to facilitate digital media platform observability at scale. The AIO integrates access to computational resources, data governance frameworks, and diverse data sourcing methods, ranging from platform-centric API-harvesting to user-focused data donations. The AIO addresses methodological challenges, ethics, the technical skills gap, and the complexities of regulatory compliance. We argue that shared infrastructures function as vital institutional interventions to ensure independent, reproducible, and ethical digital media research in a continuously evolving media environment
The results show that open data platforms are effective in enhancing transparency indicators, although this depends on other attributes, including political commitment, legal frameworks, interoperability of data, and the accessibility of data to users.
Noah Wright, Isabella Moore· International Journal of Eme...· 0 citations
The study concludes that the legal and institutional frameworks governing cross-border data transfers in Tanzania are not yet effective in regulating digital platforms and recommends legislative and regulatory reforms, institutional strengthening, and policy and practice.
Josephina John· East African Journal of Law...· 0 citations
The synergies between artificial intelligence and cyber-physical infrastructures are presented as critical catalysts in the field of open government data and a flexible, four (4) layered architecture for transforming digital governance is presented.
Marika Androutsopoulou, Dimitris Askounis, E. Carayannis et al.· Journal of the Knowledge Eco...· 0 citations
The research uses API-driven digital platforms and cloud-native architectures to make government services more accessible and easier to integrate, illustrating how API-first and cloud-native ecosystems enable accessible, inclusive and sustainable public-sector innovation.
Sruthi Baddam· International Journal of Mod...· 0 citations
Technology Transfer Offices (TTOs) play a critical role in converting university research into commercial impact, yet many face severe operational strain from manual workflows and limited staffing. This paper presents an Ethical AI-Enabled University Technology Transfer architecture, developed as a Design Science Research (DSR) case study based on the ICCubeX framework at Universiti Teknologi Malaysia (UTM). Positioned at the operational micro-layer to complement macro enterprise frameworks like COBIT, TOGAF, and SAFe, the modular architecture integrates a secure Retrieval-Augmented Generation (RAG) framework via access-controlled REST APIs to safeguard institutional data sovereignty. It employs a deterministic 85% mathematical confidence threshold to automatically route codified inquiries while directing complex, cross-disciplinary cases to an asynchronous Human-in-the-Loop governance layer to preserve officer validation and override authority. To ensure empirically testable outcomes, the framework establishes a Transformation Success Matrix targeting quantifiable benchmarks across inquiry turnaround agility, triage automation rates, and legacy database interoperability. The study contributes a theoretically grounded, governance-aware digital transformation blueprint for scalable and secure university technology transfer ecosystems.
Muhammad Arif Harun, Noor Azurati Ahmad, N. Maarop et al.· 2026 IEEE International Conf...· 0 citations
Open geospatial standards let data, services, and systems work across platforms. But openness is not just a property of specifications. It also depends on the institutions that produce them and the infrastructures in which they operate. Standards may function as digital public goods and, once embedded in public systems, as digital public infrastructure. Those roles can diverge. This paper asks when open geospatial standards remain public infrastructure rather than becoming channels of enclosure. It makes two claims. First, standards-setting governance matters: institutional design shapes whether open specifications retain their public-good character. Second, geospatial coordination is shifting toward proprietary location stacks, APIs, and cloud platforms, where roadmaps, pricing, and service terms increasingly set the rules. Sovereign-cloud and sovereign-AI strategies relocate this power rather than remove it. These dynamics reinforce each other. Weak governance pushes coordination toward the implementation layer; platformization, in turn, reduces incentives to invest in open standardization, weakening portability and FAIR reuse. Standards bodies cannot reverse platformization, but they still control the specification layer. Where legal safeguards are limited, internal governance becomes key. We frame this through four dimensions: Purpose, Principles, People and Processes, and Policies and Practices (the 4Ps framework) while stressing the limit that internal governance cannot solve alone an external structural problem.
B. G. Otero, Stefaan G. Verhulst· 0 citations
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