BSHQ-LGL-014
Version: 1.0
Effective Date: 24 July 2026
1. Introduction
Data represents a critical institutional capability for BioStack.life.
This framework establishes principles for responsible management, protection and utilisation of information assets across the BioStack.life ecosystem.
2. Purpose
The Data Governance Framework provides guidance for:
- Responsible data management.
- Information quality.
- Data protection.
- Appropriate access and usage.
- Institutional accountability.
3. Data Governance Principles
BioStack.life manages data according to the principles of:
Accountability
Data responsibilities should be clearly assigned and managed.
Integrity
Information should remain accurate, reliable and appropriately maintained.
Security
Data should be protected against unauthorised access, misuse or loss.
Responsible Usage
Data should be used only for legitimate and authorised purposes.
4. Data Classification
Information may be classified according to sensitivity, including:
- Public information.
- Internal information.
- Confidential information.
- Restricted information.
5. Data Access
Access to information systems and data resources should follow appropriate controls based on:
- Role requirements.
- Business needs.
- Security considerations.
6. Data Lifecycle Management
BioStack.life seeks to manage data throughout its lifecycle:
- Creation.
- Storage.
- Processing.
- Usage.
- Retention.
- Disposal.
7. Continuous Improvement
Data governance practices will evolve alongside technology, regulations and institutional requirements.
BioStack.life