Life Management Platforms (LMPs) aim to deliver data sovereignty: individuals and organizations should ultimately own and control their personal information, deciding who can access which data, for what purpose, and when access can be revoked. In practice, sovereignty and custodianship often diverge, and today’s digital services largely rely on verbal assurances and legal frameworks (such as GDPR) that still require users to trust providers and enforcement. LMPs combine protected personal data stores, personal cloud computing environments, and trust frameworks, enabling privacy-aware, device-independent life administration. They require stringent confidentiality, integrity, and availability; fine-grained, attribute-level access control; and life-event handling such as credential recovery, emergency access, and “personal information wills” that transfer ownership in death, health crises, or when minors reach adulthood.
Key challenges limiting mainstream adoption are inadequate user trust, persistent risks from hackers and insider abuse in centralized repositories, and the unresolved problem that “once information is disclosed, it is out of control.” Current ecosystems lack reliable “sticky policies” that travel with shared data, making it difficult to prevent onward sharing or misuse by recipients.
Blockchains can strengthen LMPs by offering decentralized architectures, independently verifiable tamper-evident logs, and smart contracts. Consensus algorithms can provide objective, mathematical proof of integrity (and confidentiality via cryptography), enabling users to track transactions and auditors to verify integrity without viewing personal data. Multi-party cryptography and quorum-based key recovery can reduce “keys to the kingdom” risks while preserving supportability for lost credentials and life events. However, blockchains do not yet solve ongoing control of data after third-party sharing; approaches like homomorphic encryption remain constrained by performance and operational limits. The paper recommends prioritizing LMP requirements and design principles over choosing specific blockchain implementations, given varying maturity and trade-offs (especially proof-of-work performance costs).
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