Browsing by Author "Donaldson, Devan Ray"

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    Big Data Curation Framework: Curation Actions and Challenges
    (Sage, 2022) Yoon, Ayoung; Kim, Jihyun; Donaldson, Devan Ray; Library and Information Science, School of Computing and Informatics
    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.
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    Library capacity for data curation services: a US national survey
    (2019) Yoon, Ayoung; Donaldson, Devan Ray
    Purpose – The purpose of this paper is to understand the landscape of data curation services among public and academic libraries in the USA, with a focus on library capacity for providing data curation services. Design/methodology/approach – The authors conducted an online survey by employing stratified sampling from the American Library Directory. A total of 198 responses were analyzed. Findings – The authors’ findings provide insight into the current landscape of libraries’ data curation services. The survey participants evaluated six capacity dimensions for both public and academic libraries – value, financial, administrative, technical infrastructure, human resources and network. The ratings the participants gave to these capacity dimensions were significantly different between academic and public libraries. Practical implications – This study suggests several areas in which libraries will benefit from further developing their capacity to successfully run data curation services. Originality/value – This is among the first research study to address the concept of capacity in the context of libraries’ data curation services.