Big data curation framework: Curation actions and challenges

Ayoung Yoon, Jihyun Kim, Devan Ray Donaldson

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Big data curation represents an emerging topic of inquiry but still in an early phase along its adoption curve. The term big data itself is a nebulous concept, and the differences between small data curation and big data curation are nuanced. The goal of this research is to provide a theoretical framework that identifies big data curation actions and associated curation challenges. This study is based on the practices of big data research and data curation by systematically examining literature. The outcome of the study includes the big data curation framework that provides overview of curation activities and concerns that are essential to perform such activities. The study also provides practical implications for libraries, archives, data repositories and other information organisations that concerns the issue of big data curation as big data presents a multidimensional array of exigencies in relation to the mission of those organisations.

Original languageEnglish
JournalJournal of Information Science
StateAccepted/In press - 2022

Bibliographical note

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© The Author(s) 2022.


  • Big data
  • big data curation
  • data curation
  • framework development


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