D4.2 - Basic Dataset Computation Approach and Structured KPI Catalogue for the Valuation of Datasets

-Pending approval from EC commission-

This deliverable presents a structured framework for objectively valuing datasets, combining theoretical foundations and practical tools. Beginning with a systematic literature review across leading academic databases, it identifies and categorises over 100 data valuation metrics and key performance indicators (KPIs) into a coherent taxonomy aligned with the four perspectives of the Balanced Scorecard. The taxonomy clusters metrics under Data Valuation Techniques, Data Monetisation, Data Quality & Governance, Operational Efficiency, Technology & Infrastructure, and Innovation & Growth, highlighting their interdependencies and strategic relevance. 

For each metric and KPI, the deliverable provides clear definitions, computational formulas, and guidance on implementation, collected in appendices for easy reference. To translate these
insights into action, a web-based decision support tool built on the Analytic Network Process (ANP) enables organisations to articulate their strategic profiles, perform pairwise comparisons, and prioritise the most relevant metrics and KPIs for their specific data monetisation goals. 

By integrating rigorous academic research with practical computation methods and an interactive selection tool, this deliverable equips stakeholders with a comprehensive, strategyaligned approach to quantify and optimise the value of their data assets.