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  • × author_ss:"Zhu, X."
  1. Zhu, X.; Freeman, M.A.: ¬An evaluation of U.S. municipal open data portals : a user interaction framework (2019) 0.00
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    Abstract
    As an increasing number of open government data (OGD) portals are created, an evaluation method is needed to assess these portals. In this study, we drew from the existing principles and evaluation methods to develop a User Interaction Framework, with concrete criteria in five dimensions: Access, Trust, Understand, Engage-integrate, and Participate. The framework was then used to evaluate the current OGD sites created and maintained by 34 U.S. municipal government agencies. The results show that, overall, portals perform well in terms of providing access, but not so well in helping users understand and engage with data. These findings indicate room for improvement in multiple areas and suggest potential roles for information professionals as data mediators. The study also reveals that portals using the Socrata platform performed better, regarding user access, trust, engagement, and participation. However, the variability among portals indicates that some portals should improve their platforms to achieve greater user engagement and participation. In addition, city governments need to develop clear plans about what data should be available and how to make them available to their public.
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.1, S.27-37
    Theme
    Information Gateway
  2. Kim, K.-S.; Kim, S.-C.J.; Park, S.-J.; Zhu, X.; Polparsi, J.: Facet analyses of categories used in Web directories : a comparative study (2006) 0.00
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    Abstract
    Faceted classification is believed to be suitable for organizing digital information resources. Based on a faceted classification model suggested for Web resources (Zins, 2002), the current study analyzed popular Web directories from different Asian countries/areas and examined cultural differences reflected in their classification systems. Three popular Web directories from four countries/regions (China, Hong Kong, Korea, and Thailand) were selected and their classifications were analyzed and compared: a local Yahoo and two home-grown Web directories from each country/region. Based on the findings, the study suggests a model that might be more suitable to Asian culture.
  3. Zhu, X.; Turney, P.; Lemire, D.; Vellino, A.: Measuring academic influence : not all citations are equal (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.2, S.408-427
  4. Pan, X.; He, S.; Zhu, X.; Fu, Q.: How users employ various popular tags to annotate resources in social tagging : an empirical study (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.5, S.1121-1137
  5. Jiang, X.; Zhu, X.; Chen, J.: Main path analysis on cyclic citation networks (2020) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.5, S.578-595