Type: Documents
Categories: Valuation
Why are data hard to value, Pt. 1: What is the value of my data? What is the value of sharing my data with others? These seem like simple questions, but data are not simple assets. The unique attributes of data making them more difficult to value than traditional assets.
Type: Documents
Categories: Educational Materials
Data, information, and knowledge are often used interchangeably. However, these terms
represent different stages of value creation from data to decision-making.
Type: Documents
Categories: Valuation
Data are collected for different purposes, shaping their potential value. Here we explore common costs
associated with data collection and the impact of different data purposes on its attributes and value.
Type: Documents
Categories: Valuation
Public data are collected because they are essential to government function. Whether or not they are
freely available to the general public varies between governments. Here we explore what public data are and the implications of charging for data in terms of cost recovery and impacts on data usage.
Type: Documents
Categories: Valuation
Brief descriptions are provided for methods that data producers, hubs, and users can use to assess the
economic value of data. Links to full descriptions are provided for each method.
Type: Documents
Categories: Valuation
Data hubs are about sharing data and may not know how those data are being put to use. Instead hubs
track the number of downloads and unique users for each dataset. A consumption-based approach to
the Modified Historic Cost method can be used to assess the value of data hubs, with the underlying
assumption that more data downloads is equated with more data usage and greater value.
Type: Documents
Categories: Valuation
The Decision-Based Valuation method, proposed by J.B. Stander in 2015, seeks to estimate the relative
contribution of data (similar to the Business Model Maturity Index method) while also accounting for
data attributes (such as quality and frequency of collection) relative to the decision being made.
Type: Documents
Categories: Valuation
The Business Model Maturity Index method, proposed by Dell, assesses the value of data based on their relative contribution to a final outcome. This top-down approach relies on use cases and allows for estimating the value of data before (and/or after) an outcome is realized.
Type: Documents
Categories: Valuation
The Historical Cost Method treats data as an asset whose value is at least equivalent to the cost of data collection. This method was modified by Moody and Walsh (1999) to account for the unique attributes of data that cause data to behave differently from traditional physical assets.
Type: Documents
Categories: Valuation
Market Methods can be used to value data by understanding the user’s willingness-to-pay. Market
methods assess the value of data as revealed through markets and experiments or as stated on user
surveys.