The availability of more data in the public sphere has driven the rise of data journalism practices in media worldwide, including in Asia (Mutsvairo, 2019). Consequently, audiences are now more exposed to data-based products when consuming news. Data journalism serves several functions, from explaining to the audience more accurately because they are presented with numbers and data to helping...
In early 2024, a proposal to advance bilateral collaboration around national training strategies and frameworks between the Alliance and the Australian Research Data Commons (ARDC) was introduced. The agreement was formally signed in February 2025, effective through to December 31, 2026, launching the start of a two-year knowledge and staff exchange pilot.
This pilot is in the form of a...
Data fragmentation is a persistent barrier to innovation, interoperability, and student mobility in the global post secondary ecosystem. This session presents the MortarCAPS Higher Learning Data Standard (MCDS) — a sector-aligned, data standard co-developed by post secondary institutions, technology leaders, and policy advocates in Australia and Canada.
Charlsey Pearce (CEO, MortarCAPS) and...
Data Science—encompassing data collection, storage, analysis, visualization, and interpretation—has become a foundational pillar of modern research, decision-making, and innovation. Its influence extends across scientific, social, industrial, and governmental domains, transforming both methods and outcomes. This contribution discusses the importance of integrating Data Science education across...
Introduction
As part of efforts to make research data more FAIR, semantic interoperability is important to consider. Standards, controlled vocabularies, and terminologies are well established types of FAIR-enabling resources that help us create interoperable systems and metadata. The [CODATA Research Data Management Terminology][1] (RDMT) is one such semantic resource that emerged...
Introduction
The scientific community faces a critical challenge: essential contributions to research progress—including data sharing, code development, peer review, mentorship, and community engagement—remain systematically undervalued. Despite the Open Science movement’s efforts to broaden recognition beyond traditional publications, engagement with alternative evaluation systems...
We are entering the fourth research paradigm following the digital revolution, which is evidenced by rapid advancements in the scientific methodology of data-intensive practices. Upskilling the next generation of the research workforce is pivotal. Further, discipline-specific advancements highlight the importance of researchers acquiring new skills to meet evolving demands.
Researchers are...
Open Science practices are essential for promoting transparency, collaboration, and accessibility in research. However, developing countries often face significant equity challenges that hinder their participation in the global research ecosystem. These challenges include capacity gaps, infrastructure disparities, lack of awareness, and digital divides. This session aims to address these...
