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Title:Towards knowledge maintenance in scientific digital libraries with keystone citations
Author(s):Fu, Yuanxi; Schneider, Jodi
Subject(s):knowledge maintenance
argumentation theory
citation contexts
knowledge claims
retraction of research
citation of retracted papers
argument retrieval
scientific literature
digital libraries
Abstract:Scientific digital libraries speed dissemination of scientific publications, but also the propagation of invalid or unreliable knowledge. Although many papers with known validity problems are highly cited, no auditing process is currently available to determine whether a citing paper’s findings fundamentally depend on invalid or unreliable knowledge. To address this, we introduce a new framework, the keystone framework, designed to identify when and how citing unreliable findings impacts a paper, using argumentation theory and citation context analysis. Through two pilot case studies, we demonstrate how the keystone framework can be applied to knowledge maintenance tasks for digital libraries, including addressing citations of a non-reproducible paper and identifying statements most needing validation in a high-impact paper. We identify roles for librarians, database maintainers, knowledgebase curators, and research software engineers in applying the framework to scientific digital libraries.
Issue Date:2020-08-02
Publisher:Association for Computing Machinery
Citation Info:Yuanxi Fu and Jodi Schneider. 2020. Towards Knowledge Maintenance in Scientific Digital Libraries with the Keystone Framework. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL '20). Association for Computing Machinery, New York, NY, USA, 217–226. DOI:
Genre:Conference Paper / Presentation
Sponsor:Alfred P. Sloan Foundation G-2020-12623
Rights Information:Creative Commons Attribution International 4.0 License
Date Available in IDEALS:2021-07-20

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