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Binding, C.; Gnoli, C.; Tudhope, D.: Migrating a complex classification scheme to the semantic web : expressing the Integrative Levels Classification using SKOS RDF (2021)
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- Source
- Journal of documentation. 77(2021) no.4, S.926-945
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Purpura, A.; Silvello, G.; Susto, G.A.: Learning to rank from relevance judgments distributions (2022)
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- Date
- 4. 8.2022 17:20:59
-
Zhou, H.; Guns, R.; Engels, T.C.E.: Are social sciences becoming more interdisciplinary? : evidence from publications 1960-2014 (2022)
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- Date
- 4. 8.2022 17:21:24
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Tang, M.-C.; Liao, I.-H.: Preference diversity and openness to novelty : scales construction from the perspective of movie recommendation (2022)
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- Date
- 4. 8.2022 17:21:54
-
Shen, Z.; Pritchard, M.J.: Cognitive engagement on social media : a study of the effects of visual cueing in educational videos (2022)
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- Date
- 4. 8.2022 17:24:35
-
Lee, S.: Pidgin metadata framework as a mediator for metadata interoperability (2021)
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- Source
- Libri. 71(2021) no.4, S.375-387
-
Lima, G.A. de; Castro, I.R.: Uso da classificacao decimal universal para a recuperacao da informacao em ambientes digitas : uma revisao sistematica da literatura (2021)
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- Date
- 4. 9.2014 14:11:40
-
Zhu, Y.; Quan, L.; Chen, P.-Y.; Kim, M.C.; Che, C.: Predicting coauthorship using bibliographic network embedding (2023)
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- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.4, S.388-401
-
Wu, D.; Xu, H.; Sun, Y.; Lv, S.: What should we teach? : A human-centered data science graduate curriculum model design for iField schools (2023)
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- Abstract
- The information schools, also referred to as iField schools, are leaders in data science education. This study aims to develop a data science graduate curriculum model from an information science perspective to support iField schools in developing data science graduate education. In June 2020, information about 96 data science graduate programs from iField schools worldwide was collected and analyzed using a mixed research method based on inductive content analysis. A wide range of data science competencies and skills development and 12 knowledge topics covered by the curriculum were obtained. The humanistic model is further taken as the theoretical and methodological basis for course model construction, and 12 course knowledge topics are reconstructed into 4 course modules, including (a) data-driven methods and techniques; (b) domain knowledge; (c) legal, moral, and ethical aspects of data; and (d) shaping and developing personal traits, and human-centered data science graduate curriculum model is formed. At the end of the study, the wide application prospect of this model is discussed.
-
Kitzie, V.L.; Wagner, T.L.; Lookingbill, V.; Vera, N.: Advancing information practices theoretical discourses centered on marginality, community, and embodiment : learning from the experiences of lesbian, gay, bisexual, transgender, queer, intersex, and asexual (LGBTQIA+) communities (2022)
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- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.4, S.494-510
-
Hjoerland, B.: Education in knowledge organization (KO) (2023)
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- Abstract
- This article provides analyses, describes dilemmas, and suggests way forwards in the teaching of knowledge organization (KO). The general assumption of the article is that theoretical problems in KO must be the point of departure for teaching KO. Section 2 addresses the teaching of practical, applied and professional KO, focusing on learning about specific knowledge organization systems (KOS), specific standards, and specific methods for organizing knowledge, but provides arguments for not isolating these aspects from theoretical issues. Section 3 is about teaching theoretical and academic KO, in which the focus is on examining the bases on which KOSs and knowledge organization processes such as classifying and indexing are founded. This basically concerns concepts and conceptual relations and should not be based on prejudices about the superiority of either humans or computers for KO. Section 4 is about the study of education in KO, which is considered important because it is about how the field is monitoring itself and about how it should be shaping its own future. Section 5 is about the role of the ISKO Encyclopedia of Knowledge Organization in education of KO, emphasizing the need for an interdisciplinary source that may help improve the conceptual clarity in the field. The conclusion suggests some specific recommendations for curricula in KO based on the author's view of KO.
-
Zhang, L.; Gou, Z.; Fang, Z.; Sivertsen, G.; Huang, Y.: Who tweets scientific publications? : a large-scale study of tweeting audiences in all areas of research (2023)
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- Abstract
- The purpose of this study is to investigate the validity of tweets about scientific publications as an indicator of societal impact by measuring the degree to which the publications are tweeted beyond academia. We introduce methods that allow for using a much larger and broader data set than in previous validation studies. It covers all areas of research and includes almost 40 million tweets by 2.5 million unique tweeters mentioning almost 4 million scientific publications. We find that, although half of the tweeters are external to academia, most of the tweets are from within academia, and most of the external tweets are responses to original tweets within academia. Only half of the tweeted publications are tweeted outside of academia. We conclude that, in general, the tweeting of scientific publications is not a valid indicator of the societal impact of research. However, publications that continue being tweeted after a few days represent recent scientific achievements that catch attention in society. These publications occur more often in the health sciences and in the social sciences and humanities.
-
Yu, L.; Fan, Z.; Li, A.: ¬A hierarchical typology of scholarly information units : based on a deduction-verification study (2020)
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- Date
- 14. 1.2020 11:15:22
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Qin, H.; Wang, H.; Johnson, A.: Understanding the information needs and information-seeking behaviours of new-generation engineering designers for effective knowledge management (2020)
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- Date
- 20. 1.2015 18:30:22
-
Palsdottir, A.: Data literacy and management of research data : a prerequisite for the sharing of research data (2021)
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- Date
- 20. 1.2015 18:30:22
