Data is increasingly being recognized as a valuable commodity that supports an increasing variety of business functions. However, while it has become well recognized that good management of our ‘hard’ infrastructure benefits from the application of asset management principles, the concept of data (in all its many varieties) as an infrastructure asset to be managed is still developing.

In this webinar, we explore the nature of data as an infrastructure asset, and how traditional asset management concepts such as value, level-of-service and expected life can be adapted to this novel asset class. Additionally, we discuss the distinction between management of data storage (which can be considered tangible) from management of the underlying, intangible, data itself.

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About the speakers:

Robert Radovanovic is an Adjunct Associate Professor with the Schulich School of Engineering at the University of Calgary. His specialization includes leveraging spatial data from sources such as laser scanners, unmanned aerial vehicles and embedded sensors to develop infrastructure asset inventories, monitor performance and assess risk resiliency. Robert is heavily involved in developing curriculum for students in the fundamentals of asset management, and how it ties into long-term sustainable outcomes for communities.

Tanya Hegmann is a recent graduate of the Masters of Engineering program at the University of Calgary and a registered Engineer-In-Training with the Association of Professional Engineers and Geoscientists of Alberta. Her specialization is in the field of Geographic Information Systems, and she was an inaugural participant in the Asset Management for Sustainable Infrastructure course series developed at the University of Calgary. Her research work has focused in the application of asset management principles to datasets holdings, with a goal of improving the consistent valuation of an intangible asset class.