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New Guide to Address the Challenges of Equipment Edge Data Governance on Manufacturing is Out for Ballot

By Stephen Liu and KY Wang, Eunodata

As the volume of different equipment data accessible from manufacturing equipment increases, organizing that information becomes more important to support intelligent/smart manufacturing efforts at edge. Poor communication, inconsistent expectations and poor data security are slowing or impeding factory integration efforts.

To address these challenges, the Equipment Edge Data Governance (EEDG) Task Force (TF) has been working diligently since 2021 to develop practical solutions. After years of discussion, collaboration, and refinement, their efforts have culminated in Document 6938, "New Standard: Guide for Equipment Edge Data Governance." This Guide is now out for balloting in Cycle 3-2025 — Vote today!

The EEDG Guide presents a comprehensive set of best practices and recommendations designed to help equipment users understand:

  • What data is available from the equipment, and the various transfer mechanisms that can be used to access it.
  • When has equipment data available to the equipment user changed — including additions, deletions, or modifications.
  • If the information is accessed from local data sources (e.g., log files, databases), how do equipment users know how the local data sources are organized so the data can be extracted consistently and effectively.

This Guide outlines how equipment suppliers can:

  • Clearly document accessible equipment data on the manufacturing equipment, and how they can document metadata for local data sources (e.g., log files and databases).
  • Incorporate data access security and apply data latency concepts with Equipment Edge Computing Systems.
  • Intend for equipment edge data that equipment users can collect from the manufacturing equipment. It may also apply to equipment edge data used to control the manufacturing equipment (e.g., recipe parameters specified by a factory host that the manufacturing equipment uses to set up for its expected operation or activity)

This long-standing effort reflects the industry’s growing need for structured data governance at the equipment level. This Guide provides a framework that promotes best practices to increase the value of equipment data using data inventory, data access security, schema management, and data latency.

  • Data Inventory — helps equipment suppliers provide the data inventory information in an understandable manner.
  • Data Access Security — helps equipment suppliers use data protection mechanisms.
  • Schema Management — helps equipment suppliers manage the schema for local data sources (Local data sources include files and databases).
  • Data Latency — describes possible ways the Equipment Edge Computing System could apply data latency concepts. Other implementations may have other approaches.

Get Involved

SEMI Standards development activities take place throughout the year in all major manufacturing regions. To get involved, join the SEMI International Standards Program at: www.semi.org/standardsmembership.

For more information, please visit our main Web site and current events page. If you have any questions regarding SEMI Standards activities, please contact your local SEMI Standards staff.

 

Standards Watch
SEMI
www.semi.org
April 17, 2025