Comparing Data Management Lifecycle in Data Science with Performance Standards | exida

exida Recorded Webinars

Comparing Data Management Lifecycle in Data Science with Performance Standards

Recording Date: September 2022

Whenever we talk about the management of a chemical plant, our perception would be focusing on how to run the chemical process; how to manage the operations; how to manage the raw materials for the process, etc. 

However, in my experience, the importance of data and information management is usually overlooked. I often see missing P&IDs; modifications to the process without any documentation; changed alarm setpoints without any record, just to name a few. 

This is a series of webinars that aims to introduce everyone to Functional Safety (IEC 61511 and IEC 61508) and Alarm Management (ISA 18.2/IEC 62682), with the supplement of the fundamentals from Data Science and Data Analytics.

This week we are going to investigate the Data Management Lifecycle in Data Science and see how the various concepts are closely related to the Functional Safety Lifecycle and Alarm Management Lifecycle.

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About the Presenter:

Paul Chan, CFSP

Paul Chan Paul Chan was educated at the University of Hong Kong, majoring in Biochemistry while minoring in Biology and Economics. He finished a project on RNA Bioinformatics and helped in setting up an RNA database. He had experience with Python programming language and UNIX OS system. He later finished a master’s degree in English Literary Studies and finished a few creative projects. However he rekindled his passion for Science and the technical field, and joined exida in the summer of 2014, when he was immediately put onto the SRIP project (HAZOP and SIL selection workshop) in Seoul. Later he had extensive experience with SIL verification with notable clients like ConocoPhillips and Cristal. He received his CFSP certification in Sep 2015.