This paper presents an approach for capturing the instrumental value of data production processes.The approach considers the context of the agent's decision-making problem and prior data or information possessed.In the domain of Bayesian linear regression, the value corresponds to information gain.The study shows that achieving first-best revenue for data sales depends on the seller's ability to customize data requests.