Depending on the user profile and specific use case, there may be other drivers of dataset value:

• Provable compliance becomes more valuable as a data asset traverses its maturity curve. In the early days, when the utility of the data is unknown, participants are less inclined to pay for compliance. But as the ecosystem matures, this becomes more of

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• Some datasets become standards for data exchange . S&P’s CUSIP for publicly traded securities, D&B’s DUNS for private companies, Datavant’s universal patient key for medical records, LiveRamp’s RampID for advertiser audiences are all examples here, albeit for varying degrees of “table-stakes-ness / industry adoption”.


• Some datasets become evaluation

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The value of data is the value of what you can do with it. Therefore, the more you’re allowed to do — the more usage rights the seller grants you — the more you should be willing to pay! This is a pricing effect that’s completely independent of quality, quantity, dataset internals, or table stakes status.

Common usage rights include:

• Scope of use

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