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Evolutionary Archives: The Unlikely Comparison of GenBank and Know Your Meme

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Digital trace data in archives offer novel sources for examining "evolutionary"social and cultural phenomena. Yet, few studies have formally examined the features of archives that can be of use for scholars taking evolutionary perspectives in archival science. To address this gap, we compare the design features, metadata, and affordances of two repositories - GenBank and Know Your Meme - leveraging longstanding evolutionary analogies between genes and memes to identify trace data useful for evolutionary analyses. Our empirical analysis reveals the opportunities and limitations in using networked and longitudinal data contained in repositories. Repositories, here, are analyzed as trace data. We argue that archival system designers and CAS research should be aware of how archives represent data and how the archival features influence or limit CAS research. We conclude with a discussion of the challenges associated with archival (meta)data structures offering "big data"(and "big metadata"). In examining these repositories, we speculate about computational concerns in archiving evolutionary data. Doing so moves towards a principled approach for informing how evolutionary archives could be designed.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
EditorsShusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2490-2499
Number of pages10
ISBN (Electronic)9781665480451
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan
Duration: Dec 17 2022Dec 20 2022

Publication series

NameProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Conference

Conference2022 IEEE International Conference on Big Data, Big Data 2022
Country/TerritoryJapan
CityOsaka
Period12/17/2212/20/22

Keywords

  • culture
  • evolution
  • GenBank
  • Know Your Meme
  • repositories

ASJC Scopus subject areas

  • Modeling and Simulation
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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