From data graveyards to data mines
As wastewater resource recovery facilities enter the era of big data, they are naturally confronted with the challenges of integration. One aspect that remains an important burden for utilities is the description of collected data, i.e. the production and storage of meta-data.
Starts
Apr 08, 2021
Language
EnglishMember fee: $0.00
Standard fee: $0.00
Webinar Video
Description
Data collected today is expected to be useful in the future to respond to ever more complicated operational challenges and new demands for water quality and resource efficiency. Given that those future issues are unknown, the definition of required meta-data and guarantee of its collection in a timely manner will be particularly challenging. However, when successful, this process leads to the generation of future-proof data mines, as opposed to data graveyards.
In this webinar, the panelists will highlight the utility of meta-data, the most challenging aspects of meta-data collection and organization, and the ongoing work of the IWA Task Group on Meta-data Collection and Organization (MetaCO TG).
Panelists
- Kris Villez, https://www.linkedin.com/in/krisvillez/ Senior R&D associate at Oak Ridge National Laboratory
- John Copp, https://www.linkedin.com/in/john-copp-49a62919/ CEO at Primodal Hamilton
- Stefania Russo, https://www.linkedin.com/in/stefaniarusso8/ Postdoctoral Researcher at ETH Zürich
- Oscar Samuelsson, https://iwa-connect.org/user/566824a9c82261aa7e391773 PhD student at IVL Swedish Environmental Research Institute
- Adrienne Menniti, https://www.linkedin.com/in/adrienne-menniti-98994920/ Principal Process Engineer at Clean Water Services | Treatment Plant Services
Target Audience
Process modelers, Utility managers, technologists, consultants, academics and modelers with interest in evidence-based operations, controls, and investments
Learning Objectives
After the webinar, participants will be able to:
- Understand the value that collecting meta-data in a structured form can bring.
- Understand the practical challenges associated with the collection, organization, and management of meta-data.