Metadata and Reuse: Antidotes to Information Entropy

Ted Habermann
2020 Patterns  
Entropy is the natural tendency for decline toward disorder over time. Information entropy is the decline in data, information, and understanding that occurs after data are used and results are published. As time passes, the information slowly fades into obscurity. Data discovery is not enough to slow this process. High-quality metadata that support understanding and reuse and cross domains are a critical antidote to information entropy, particularly as it supports reuse of the data-adding to
more » ... mmunity knowledge and wisdom. Ensuring the creation and preservation of these metadata is a responsibility shared across the entire data life cycle from creation through analysis and publication to archiving and reuse. Repositories can play an important role in this process by augmenting metadata through time with persistent identifiers and connections they facilitate. Data providers need to work with repositories to encourage metadata evolution as new capabilities and connections emerge.
doi:10.1016/j.patter.2020.100004 pmid:33205081 pmcid:PMC7660388 fatcat:vpi7pz7pgbgn5ezaganhbediee