In the information age, as the explosive growth of data in companies becomes an important asset, securing data quality is essential in the process of collecting and analyzing scattered data and turning it into information. In the industry, the standardization of data that enables mutual exchange without loss of meaning is being emphasized.

At the Industrial Data Futurecon 2024 held in the COEX conference room on the 14th, the Industrial Data International Standardization Committee Conference and the Advanced Manufacturing Standardization Forum were held simultaneously. The forum included discussions and debates on global data standardization trends and research plans.

In his keynote speech, ACS Vice President Cha Seok-geun asserted, “If the data from the manufacturing site is not reliable, the results will be incorrect. We must achieve innovation in the manufacturing site and secure global leadership through advanced manufacturing standardization.”

In the following session presentations, experts agreed that securing data quality in smart factories begins with a dictionary definition of terms through consensus. They explained that appropriate criteria for judging data quality must be set and verified.

For example, there may be differences in data levels even in the concept of 'robot'. Unlike the concept of 'robot' that is emerging in our country and other countries leading in advanced technology, citizens of non-digitalized countries may think of 'robot' as a traffic light. However, if we define the meaning of the word 'robot' from the beginning to avoid dictionary errors that may occur when exchanging the word, we can make the same concept come to mind when exchanging data.

“With factories struggling with data quality and interoperability issues today, data management requires a proper structure,” said Peter Eales of MRO Insyte. “IOS 8000 certification can help to divide data into different roles and provide objective verification and evidence-based trust.”



The International Standard Organization (ISO) sets internationally accepted standards through agreements among countries. ISO 9000, known to consumers, deals with matters related to product quality.

'ISO 8000' is a sister standard of ISO 9000, and has been establishing standards for data quality such as sensor data since the early 2000s. ISO 8000 has spread mainly in the US, UK, Germany, etc., and is being introduced in the private and public sectors in Korea as well.

In a follow-up presentation, Yoshiaki Sonoda of Mitsubishi Heavy Industries emphasized securing semantic interoperability across physical or virtual environments. ‘Semantic interoperability’ refers to technology that enables seamless information sharing between different systems based on understanding and interpreting the meaning of data.

“Standardized semantic interoperability will realize high-quality manufacturing,” said Yoshiaki Sonoda. “All business data must be reconstructed by ‘ontology dictionaries’ that identify objects (Attributers) by attaching IDs to them.”

He added, “These smart data strategies can help us accurately understand the meaning of data and connect and utilize it.”