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Purpose and Context

Purpose, who is FAIR Business Value Frame for?

The FAIR Business Value Framework is designed for:

Executive stakeholders

  • Chief Data Officers, Digital and AI leaders
  • R&D and business transformation leaders
  • Strategy and investment decision-makers

It supports understanding why FAIR matters for business performance, assessing return on investment and strategic impact, and prioritizing data and AI initiatives.

Data and FAIR practitioners

  • Data stewards, architects, and platform teams
  • FAIR implementation leads
  • Analytics and AI teams

It supports: translating FAIR principles into measurable outcomes, aligning technical initiatives with business value, and defining metrics, baselines, and targets.

Industry and community stakeholders

  • Pistoia Alliance members and partners
  • Life-science organisations
  • Service providing organisations
  • Research institutes

It provides: A shared language for FAIR value, a reference model for benchmarking and alignment on business value creation.

Context

The pharmaceutical industry is undergoing a profound transformation driven by data, digitalization, and artificial intelligence. In this context, FAIR data principles are increasingly recognized as a critical enabler of data reuse, interoperability, and AI readiness.

However, a persistent challenge remains:

How can organizations quantify and communicate the business value of FAIR data?

Early approaches, such as financial ROI models FAIR-ROI-Method-V1.0, provided a valuable starting point by linking FAIR to: - efficiency gains
- cost reductions
- time savings

While these models introduced rigor through discounted cash flow and decision-tree methodologies, they also revealed limitations: - difficulty in capturing qualitative and strategic value - complexity and limited usability for non-financial stakeholders - insufficient alignment with modern data and AI-driven operating models

In parallel, industry demand evolved toward: - enterprise-level value articulation - alignment with AI and data strategy - need for transparent, standardized metrics for business value creation

The FAIR Business Value Framework was developed to address these gaps.