A review on method framework construction of Chinese Information Science

Li, Bowen; Tian, Liang; Zhang, Heng; Zhang, Chengzhi

doi:10.1016/j.dim.2022.100023

Cited by 1 publication

(1 citation statement)

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“…. Existing research tend data needs, and data search, use, and reuse may be better understood through a behavioral lens (Li & Zhang, 2022) The authenticity, reliability, integrity, and usability of data throughout its lifecycle.…”

Section: Previous Efforts Focus Morementioning

confidence: 99%

Conceptualizing Data Behavior: Bridging Data‐centric and User‐centric Approaches

Zhang,

Gregory,

Yoon

et al. 2023

Proceedings of the Association for Information Science and Tech

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With the development of technologies in big data and AI, data has become more and more central to users for various tasks in different contexts. Yet the concept of data behavior, an emerging concept that captures the actions and interactions of individuals with data in various contexts and situations is not explicitly defined and framed. Data behavior focuses on the observable actions and reactions of users when they encounter, discover, seek, use, or create data for individual or collaborative tasks, while data practice encompasses the entire spectrum of how people work with data, from creating and managing to sharing and reusing data, as well as the intentional and strategic decisions and actions involved in these processes. This panel proposes a conversation and discussion about the concepts of data practice and data behavior by drawing on literature in data practice, data curation, and information behavior. This panel aims to discuss, compare, and bridge data‐centric and user‐centric approaches to conceptualizing data behavior. It will also present some examples of data behavior research in different domains and scenarios. The panel will highlight the challenges and opportunities of data behavior research for information science and practice.

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Section: Previous Efforts Focus Morementioning

confidence: 99%