Granular Data Control with Characteristic-Level Permissions

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April 16th, 2026
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10:30 AM
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3 mins read

A new CommonShare update that introduces fine-grained visibility controls at the product characteristic level, enabling better data governance, security, and collaboration across teams.

As product data becomes more granular and shared across increasingly complex supply chains, ensuring the right level of access to sensitive information is becoming essential. From technical specifications to sourcing details, organizations need a way to protect critical data without limiting collaboration.

With this latest update, CommonShare introduces characteristic-level visibility permissions, enabling teams to control access to product attributes with precision while maintaining a seamless and unified product data structure.

Protecting Sensitive Product Data at the Source

As product data becomes increasingly detailed and shared across multiple stakeholders, maintaining control over sensitive information is becoming a critical challenge. Attributes such as material composition, technical specifications, or sourcing details may need to be restricted depending on user roles, teams, or external partners.

Traditionally, managing access to this level of detail has required workarounds such as duplicating datasets or limiting access at the product level. This approach often leads to inefficiencies, data inconsistencies, and reduced flexibility in collaboration.

With this latest update, CommonShare introduces visibility permissions directly at the characteristic level, allowing teams to protect sensitive product data without compromising accessibility to the rest of the product information.

Visibility Control at the Characteristic Level

Each product characteristic can now be configured with its own visibility settings. This means that instead of applying access rules to an entire product, users can define precisely who can view or access specific attributes.

For example:

  • Sensitive fields such as Dtex or material specifications can be restricted

  • General attributes like Article Number or Position can remain visible

  • Origin or compliance-related data can be shared selectively

This granular control ensures that the right information is accessible to the right people, without overexposing critical data.

Improved Data Governance Across Teams

By embedding visibility permissions directly into product characteristics, this update strengthens data governance across the platform.

Instead of relying on external processes or manual controls, access rules are now part of the data structure itself. This reduces the risk of:

  • Accidental data exposure
  • Inconsistent access across teams
  • Duplication of product records

Over time, this creates a more reliable and structured environment where data access is consistent, auditable, and scalable.

Seamless Integration Within Product Workflows

Characteristic-level permissions are fully integrated into existing product workflows, including the Characteristics tab within product pages.

Users can:

  • Identify protected fields through visual indicators (e.g. lock icon đź”’)
  • Configure visibility directly when creating or editing characteristics
  • Maintain full flexibility without disrupting existing product structures

This ensures that data protection becomes a natural part of product management rather than an additional layer of complexity.

Balancing Transparency and Control

One of the key challenges in supply chain and product data management is balancing transparency with confidentiality. While collaboration requires openness, certain data must remain controlled.

With this update, CommonShare enables organizations to:

  • Share product data confidently across internal and external stakeholders
  • Protect sensitive attributes without restricting entire products
  • Adapt access dynamically as teams and workflows evolve

Conclusion

This update introduces a more precise and scalable way to manage product data access within CommonShare. By enabling visibility permissions at the characteristic level, the platform provides a powerful balance between data protection and operational flexibility.

The result is a more secure, structured, and collaborative approach to product data management, where information can be shared intelligently without compromising control.