r2-insight Data Governance Practice Statement

At r2-insight, we recognize that data is a strategic asset central to our mission of delivering transformative insights across the global life sciences and healthcare ecosystem. Our Data Governance Practice ensures that data is managed responsibly, securely, and in compliance with all regulatory, ethical, and operational standards.

1. Purpose and Scope

This Data Governance Practice Statement outlines the policies, principles, and operating framework governing data across its lifecycle—from acquisition and creation to usage, sharing, storage, and destruction. It applies to all data managed by r2-insight, including structured and unstructured data, personally identifiable information (PII), protected health information (PHI), and proprietary research and analytics data.

2. Governance Objectives

  • Ensure data quality, integrity, and trustworthiness to support data-driven decision-making.
  • Maintain regulatory compliance with global standards including GDPR, HIPAA, GxP, FDA 21 CFR Part 11, and other applicable data protection laws.
  • Promote ethical data use in alignment with the values of transparency, fairness, and accountability.
  • Safeguard confidentiality, privacy, and security of all sensitive and critical data.
  • Drive a culture of data stewardship and literacy throughout the organisation.

3. Governance Structure

We operate a multi-tiered governance model composed of:

  • Data Governance Council (DGC): Executive oversight body responsible for setting strategic direction and policy approval.
  • Data Stewards and Custodians: Domain experts responsible for ensuring quality, classification, and compliance of data assets within their purview.
  • Data Governance Office (DGO): A centralised team overseeing governance implementation, tooling, training, and monitoring.

4. Key Principles

  1. Accountability
    Every data asset has clearly defined ownership with designated data stewards accountable for quality and compliance.
  2. Transparency
    All data governance policies and practices are documented, communicated, and auditable.
  3. Compliance and Ethics
    Data practices are continuously aligned with evolving international regulations and ethical research standards.
  4. Data Quality Management
    Continuous monitoring and improvement of data accuracy, completeness, consistency, timeliness, and validity.
  5. Security and Privacy by Design
    Integration of robust data protection measures at all stages of the data lifecycle.
  6. Master and Metadata Management
    Unified definitions, lineage tracking, and metadata repositories ensure a single source of truth.
  7. Access Control and Usage Rights
    Data is accessible only to authorised individuals based on role-based access controls and least-privilege principles.
  8. Risk Management
    Identification, mitigation, and documentation of risks related to data misuse, loss, or non-compliance.
  9. Data Lifecycle Management
    Clear policies on data retention, archival, and disposal aligned with legal, regulatory, and business requirements.
  10. Data Literacy and Training
    Organisation-wide training to promote awareness, responsibility, and best practices in data handling.

5. Data Domains Covered

  • Clinical and patient data
  • Real-world evidence (RWE)
  • Research and development (R&D) data
  • Operational, regulatory, and commercial data
  • Partner, customer, and third-party data integrations

6. Tooling and Technology

r2-insight employs leading-edge technologies and platforms for:

  • Data cataloging and metadata management
  • Automated quality checks and validation
  • Secure data lakes, warehouses, and federated environments
  • Audit and compliance monitoring tools
  • Data anonymisation and tokenisation solutions

7. Continuous Improvement

We maintain an agile and adaptive governance program with mechanisms for:

  • Regular policy reviews and updates
  • Audit and feedback loops
  • Stakeholder engagement and data governance maturity assessments
  • Benchmarking against industry best practices and frameworks (e.g., DAMA-DMBOK, FAIR, ISO/IEC 38505)

8. Conclusion

Data governance at r2-insight is not a static policy but a dynamic, evolving commitment to excellence in data ethics, quality, and compliance. As we enable insight-driven innovations in healthcare and life sciences, we are equally dedicated to upholding the highest standards of data responsibility and trust.