Distributed Data Store for Media Rights Tracking
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Solution Overview
Problem
The music industry faces challenges in tracking contributions to songs and accurately compensating contributors due to difficulties in managing rights ownership and reliability of data in centralized databases, leading to under-compensation of millions of dollars annually.
Innovation Solution
A distributed data store system, potentially utilizing blockchain technology, is implemented to track interests in media content by storing information about creators, interactions, and reliability scores, allowing users to determine the reliability of data and facilitating accurate royalty distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized database is used to track media content rights, then data management is simplified, but data reliability and trustworthiness deteriorate
Solution Approach 1:
The patent segments the centralized database into a distributed ledger system where data is divided across multiple nodes. Each node maintains a copy of the ledger, eliminating the single point of failure and centralization bottleneck. This segmentation allows the system to maintain ease of operation through standardized protocols while dramatically improving data reliability through decentralization and consensus mechanisms.
Solution Approach 2:
The patent introduces cryptographic hash functions and consensus algorithms as intermediaries between data submissions and ledger updates. These intermediaries verify and validate data integrity without requiring trust in any single entity, resolving the contradiction by providing automated mediation that maintains operational simplicity while ensuring reliability through cryptographic proof.
2Reliability
If detailed interaction records are stored for all users, then data reliability improves, but system complexity increases
Solution Approach 1:
The patent uses cryptographic hashing to create compact representations (copies) of extensive interaction records. Instead of storing and processing all raw interaction data, the system stores hash values that serve as reliable verification tokens. This copying approach maintains data reliability through verifiable records while reducing system complexity by working with compact data structures rather than exhaustive detail.
Solution Approach 2:
The patent employs disposable cryptographic tokens and temporary session identifiers for tracking interactions. These lightweight, ephemeral objects provide reliable tracking without requiring complex long-term storage and management systems. Each interaction generates new cryptographic proofs that are verified and then can be discarded, maintaining reliability through cryptographic integrity while minimizing system complexity through efficient resource usage.
Data Source
AI summary
Described herein are various embodiments of a system for tracking interests in content using a distributed data store. By being “distributed,” there may be multiple different copies of the data store that each hold a portion or all of the data of the data store, with the different copies being continuously, periodically, or occasionally synchronized to ensure that data held in one matches the data held in another, but with no copy of the data store being treated as the official or canonical copy of the data store. The distributed data store may track the interests regarding the content in particular ways, including through storing information identifying the content and identifying interests in the content. The distributed data store may be used to track interests in media, such as to track ownership, management, or royalty interests in media like songs, to provide a mechanism for “Digital Rights Expression” (DRE).