Panel Session: Building a Data Discoverability Reference Architecture

Data discovery is a complex, yet critical, process for successfully consuming data. Abramson et al. 2024  (https://doi.org/10.14264/1c8e79c) codify data discovery as one of the key components of a mature Research Data Reference Architecture, yet the wide variance in how data discovery requirements are defined by different roles/ personas/ actors/ groups/ disciplines confounds enabling efforts.
As a step to facilitate better outcomes, IBM and Arcitecta host this interactive panel of research data specialists for a broad framing discussion around the considerations for implementing a data discovery solution. We ask this diverse collective what they consider to be the most important criteria for delivering discovery capabilities to spark extended conversations with the audience. Attendees are invited to discuss what must be included for minimum viable set of tenant components and what can be considered enhanced or additional features they would like to see.
Whether you’re in the operational and security management space or a research data maker and consumer, your contribution to this discussion is strongly welcomed.

Conveners:

Andrew Beattie
IBM Hyperscaler Storage SME
Storage for Data and AI
IBM A/NZ
Based in Brisbane, Australia, Andrew is a subject matter expert within IBM’s Storage for Data and AI portfolio, with a focus on High Performance Computing and GPU accelerated workloads in addition to the management of data in large capacity long term archive environments. A published IBM Redbooks author, and regular presenter at conferences relating to the design and implementation of large-scale data management platforms, Andrew has more than 20yrs experience in the design, delivery and implementation of complex data storage and data management solutions. 
 
Dr. Leslie D Almberg
Researcher and Technical Writer
Arcitecta
Dr. Leslie D. Almberg is a researcher and writer with a background in volcanic processes, geoscience education, innovative curriculum design, and journalism. She has a deep interest in finding simple ways to explain complex systems to broad and diverse audiences. Her current focus is on research data management, specifically the intersections between data collectors, data managers, data users, and the powers that be.
In her role with Arcitecta, she is building relationships within the Australasian research community to connect people with data solutions. As Program Director for Earth and Environmental Science at Australian Science Innovations, Dr. Almberg also leads a national initiative to engage and extend high-performing students in Earth sciences.

Speakers:

  • Isabel Ceron (Terrestrial Ecosystem Research Network)
  • Yvette Wharton (University of Auckland)
  • Ai-Lin Soo (University of New South Wales)
  • Marlies Hankel (University of Queensland)
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