Metadata and Reuse: Antidotes to Information Entropy.

Area of Science:

• Information Science
• Data Management
• Knowledge Preservation

Background:

• Entropy describes the natural tendency towards disorder.
• Information entropy specifically refers to the decay of data, information, and understanding after publication.
• Data discovery alone is insufficient to counteract this information decay.

Purpose of the Study:

• To identify strategies for mitigating information entropy.
• To highlight the role of metadata in preserving data value.
• To emphasize the collaborative responsibility in metadata management.

Main Methods:

• Conceptual analysis of information entropy.
• Literature review on data management and metadata best practices.
• Exploration of the role of data repositories.

Main Results:

• High-quality metadata are essential to combat information entropy.
• Metadata facilitate data understanding, reuse, and cross-domain application.
• Metadata contribute to the cumulative growth of community knowledge and wisdom.

Conclusions:

• Metadata creation and preservation are a shared responsibility throughout the data lifecycle.
• Data repositories can enhance metadata by adding persistent identifiers and connections.
• Collaboration between data providers and repositories is vital for metadata evolution.