We live in the digital era, where most information is stored digitally in data centers or the cloud, often operated by centralized entities. Traditionally, developers and users default to these centralized storage solutions, which manage their own infrastructure and support vertically integrated services to capture all the value. However, decentralized storage solutions, such as those pioneered by BitTorrent and later the InterPlanetary File System (IPFS), offer potential solutions to the limitations of centralized storage. This paper proposes a system to enhance decentralized storage solutions by assigning monetary value to data, thus creating new incentives for network participants. We explore various factors influencing data value in decentralized platforms and propose systems for handling unquantifiable metrics such as content and moderation value. Specifically, we introduce a Moderation Voting System with Prediction Markets and discuss how these systems combined could benefit Storage Providers, voters, predictors, and end-users. The paper also discusses the risks and the unpredictability of human behavior, which the solution addresses by tapping into game theory. As this paper focuses mostly on the value proposition of the data, while most of the components are treated as a black box subject to further research and design, we also provide a plan for future research and the methodology for evaluation and comparison against other existing methods.