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Stvilia, B.; Wu, S.; Lee, D.J.: Researchers' uses of and disincentives for sharing their research identity information in research information management systems (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.8, S.1035-1045
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Zhao, R.; Wu, S.: ¬The network pattern of journal knowledge transfer in library and information science in China (2014)
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- Abstract
- Using the library and information science journals 2003-2012 in Nanjing University's Chinese Social Sciences Citation Index as data sources, the paper reveals the citation structure implied in these journals by applying social network analysis. Results show that, first, journal knowledge transfer activity in library and information science is frequent, and both the level of knowledge and discipline integration as well as the knowledge gap influenced knowledge transfer activity. According to the out-degree and in-degree, journals can be divided into three kinds. Second, based on professional bias and citation frequency, the knowledge transfer network can be divided into four blocks. With the change of discipline capacity and knowledge gap among journals, the "core-periphery" structure of the knowledge transfer network is getting weaker. Finally, regions of the knowledge transfer network evolved from a "weak-weak" subgroup to a "strong-weak" subgroup or a "weak-strong" subgroup, and then move to a "strong-strong" subgroup.
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Wu, S.; Liu, S.; Wang, Y.; Timmons, T.; Uppili, H.; Bedrick, S.; Hersh, W.; Liu, H,: Intrainstitutional EHR collections for patient-level information retrieval (2017)
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- Abstract
- Research in clinical information retrieval has long been stymied by the lack of open resources. However, both clinical information retrieval research innovation and legitimate privacy concerns can be served by the creation of intrainstitutional, fully protected resources. In this article, we provide some principles and tools for information retrieval resource-building in the unique problem setting of patient-level information retrieval, following the tradition of the Cranfield paradigm. We further include an analysis of parallel information retrieval resources at Oregon Health & Science University and Mayo Clinic that were built on these principles.
- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.11, S.2636-2648
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Wu, S.; Li, J.; Zeng, X.; Bi, Y.: Adaptive data fusion methods in information retrieval (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.10, S.2048-2061
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Wu, S.; Fan, Y.: Music literature indexing : comparing users' free-text queries and controlled vocabularies (2018)
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- Source
- Proceedings of the Association for Information Science and Technology. 54(2017) no.1, S.831-832
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Jörgensen, C.; Stvilia, B.; Wu, S.: Assessing the relationships among tag syntax, semantics, and perceived usefulness (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.836-849
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Stvilia, B.; Hinnant, C.C.; Wu, S.; Worrall, A.; Lee, D.J.; Burnett, K.; Burnett, G.; Kazmer, M.M.; Marty, P.F.: Research project tasks, data, and perceptions of data quality in a condensed matter physics community (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.2, S.246-263
