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Understanding the Value of Data

Authors: Sanderson, Todd; Reeson, Andrew; Box, Paul;

Understanding the Value of Data

Abstract

Data is a cornerstone of the digital economy. Successful economic management therefore increasingly requires optimising the use of data, from the organisational to societal level. Making the best use of data requires that we understand its value; however, this is far from straightforward. In the total economic value framework, data has value because users value what they could do with it now and what they might do with it in the future. In current use, the value could accrue directly from the time savings of users accessing data in highly interoperable form; it may also accrue indirectly through applications and services developed from the data. In an uncertain world data also has option value, in that it may find additional uses in the future. Through this lens, we can better understand where services (i.e., applications, research, and dissemination) may be applied to unlock the value data. We demonstrate the application of this framework through a case study of a large Australian public research organisation’s data asset depository.

Keywords

data value, data sharing, costs

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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