Why Data are Hard to Value?
Water is undervalued, water data even more so.
What prevents data from getting to impact?
The value of data is best understood when data can be linked to a specific impact, but sometimes that doesn’t happen due to gaps.
Why are data hard to value? Data’s unique attributes
The value of data is best understood when data can be linked to a specific impact, but sometimes that doesn’t happen due to gaps.
Why are data hard to value? Data as derived demand
Data are valued for their end use (derived demand). When data are shared and put to use by outside organizations (secondary demand), it is hard to assess their value.
Moving towards valuation by data purpose
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.
Valuing public data
Public data are collected because they are essential to government function. We explore what public data are and the implications of charging for data in terms of cost recovery and impacts on data usage.
Funding public data
Rapid changes in technology require continual investments to update data infrastructure and ensure data are preserved and available for future use. We look at two examples of public agencies exploring the costs and opportunities of monetizing their data services.
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What are Data, Information, and Knowledge?
Data, information, and knowledge represent different stages of value creation
Approaches to Valuing Data
This series of articles describe different methods to value data economically.
Core Principles for Water Data
Internet of Water Principles help make public data easier to find, access, and use