Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
With the growing use of digital technologies, data have become core to many organizations’ decisions, with its value widely acknowledged across public and private sectors. Yet few comprehensive empirical approaches to establishing the value of data exist, and there is no consensus about which methods should be applied to specific data types or purposes. This paper examines a range of data valuation methodologies proposed in the existing literature. We propose a typology linking methods to different data types and purposes.