Radotic T1
1Australian Research Data Commons (ARDC), , Australia, 2Research Data Alliance (RDA), ,
Biography:
Trish Radotic is the Australian Research Data Commons (ARDC) Regional Community Manager for Oceania and East Asia. Based at the Curtin Institute for Data Science at Curtin University in Perth, Western Australia, she brings over 20 years of experience across IT, marketing, and international business.
Trish holds a Bachelor of Commerce (Accounting and Finance), an MBA (Marketing and International Business), and a Graduate Diploma in Software Programming. In her role, she supports the RDA Secretariat’s mission to build the social and technical bridges that enable the open sharing and reuse of research data across technologies, disciplines, and borders.
She is passionate about the transformative potential of technology and AI as enablers of innovation and is deeply committed to advancing global collaboration through connection, sharing, networking, and community building.
Abstract:
As research institutions increasingly explore the potential of agentic artificial intelligence, new challenges are emerging around governance, interoperability, responsible implementation, and the long-term sustainability of AI-driven research infrastructure. Yet many organisations are confronting these challenges in isolation, navigating a rapidly evolving technology landscape without shared frameworks or community-driven guidance.
The Research Data Alliance (RDA) was established to solve exactly these kinds of global research data challenges, bringing together an international community of researchers, technologists, infrastructure providers, and domain experts to collaboratively develop practical solutions that support open and connected research systems.
This presentation provides an overview of RDA’s unique community-driven model and demonstrates how global collaboration can accelerate solutions to emerging technology challenges facing the research sector. As a recent example, RDA convened an international community consultation to develop an open blueprint for implementing agentic AI within research environments, focused specifically on AI-enabled metadata creation and research data management workflows.
Through this case study, we explore how community-led collaboration can help institutions move beyond fragmented vendor-driven approaches toward shared principles grounded in openness, interoperability, human oversight, and trusted research practice.
As research enters an era of increasingly autonomous systems, the global research community has a unique opportunity to shape how these technologies develop: collectively, openly, and in alignment with the values that underpin trusted and reproducible research.
