{"title":"Dissemination effect of data papers on scientific datasets","authors":"Hong Jiao, Yuhong Qiu, Xiaowei Ma, Bo Yang","doi":"10.1002/asi.24843","DOIUrl":"10.1002/asi.24843","url":null,"abstract":"<p>Open data as an integral part of the open science movement enhances the openness and sharing of scientific datasets. Nevertheless, the normative utilization of data journals, data papers, scientific datasets, and data citations necessitates further research. This study aims to investigate the citation practices associated with data papers and to explore the role of data papers in disseminating scientific datasets. Dataset accession numbers from NCBI databases were employed to analyze the prevalence of data citations for data papers from PubMed Central. A dataset citation practice identification rule was subsequently established. The findings indicate a consistent growth in the number of biomedical data journals published in recent years, with data papers gaining attention and recognition as both publications and data sources. Although the use of data papers as citation sources for data remains relatively rare, there has been a steady increase in data paper citations for data utilization through formal data citations. Furthermore, the increasing proportion of datasets reported in data papers that are employed for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 2","pages":"115-131"},"PeriodicalIF":3.5,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135475840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Under whose wings? A conceptual model for incorporating historical sovereignty information in biodiversity data","authors":"Yi‐Yun Cheng","doi":"10.1002/asi.24848","DOIUrl":"https://doi.org/10.1002/asi.24848","url":null,"abstract":"Abstract Linking historical and contemporary geographic information in biodiversity data is a useful approach to approximate species population. However, one of the prominent factors that causes ambiguity in geographic information, and hinders the linking process, is the way sovereignty information is used. While historical biodiversity records often use sovereignties as proxies for geographic information about a species, contemporary records do not. This study proposes a conceptual model that incorporates sovereignty information in biodiversity data to foster the linkage between historical and contemporary geographical information. The model comprises two phases: the first phase relates tangible data sources and core components needed to construct historical sovereignty taxonomies; and the second phase is a process model to align historical sovereignty taxonomies with contemporary taxonomies in four phases. The output of the model presents all possible sovereignties that a geographic entity belongs to based on the degree of congruence between the historical and contemporary taxonomies. The contributions of this work are threefold: (1) making all possible ambiguities in historical geographic information explicit in biodiversity data; (2) bringing attention to the modeling choices that domain experts have to make when deciding which sovereignty a place name belongs to; and (3) extending and improving current geo‐referencing practices.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"56 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monodisciplinary collaboration disrupts science more than multidisciplinary collaboration","authors":"Xin Liu, Yi Bu, Ming Li, Jiang Li","doi":"10.1002/asi.24840","DOIUrl":"10.1002/asi.24840","url":null,"abstract":"<p>Collaboration across disciplines is a critical form of scientific collaboration to solve complex problems and make innovative contributions. This study focuses on the association between multidisciplinary collaboration measured by coauthorship in publications and the disruption of publications measured by the <i>Disruption</i> (<i>D</i>) index. We used authors' affiliations as a proxy of the disciplines to which they belong and categorized an article into multidisciplinary collaboration or monodisciplinary collaboration. The <i>D</i> index quantifies the extent to which a study disrupts its predecessors. We selected 13 journals that publish articles in six disciplines from the Microsoft Academic Graph (MAG) database and then constructed regression models with fixed effects and estimated the relationship between the variables. The findings show that articles with monodisciplinary collaboration are more disruptive than those with multidisciplinary collaboration. Furthermore, we uncovered the mechanism of how monodisciplinary collaboration disrupts science more than multidisciplinary collaboration by exploring the references of the sampled publications.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 1","pages":"59-78"},"PeriodicalIF":3.5,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongxiao Gu, Hu Liu, Huimin Zhao, Xuejie Yang, Min Li, Changyong Liang
{"title":"A deep learning and clustering-based topic consistency modeling framework for matching health information supply and demand","authors":"Dongxiao Gu, Hu Liu, Huimin Zhao, Xuejie Yang, Min Li, Changyong Liang","doi":"10.1002/asi.24846","DOIUrl":"10.1002/asi.24846","url":null,"abstract":"<p>Improving health literacy through health information dissemination is one of the most economical and effective mechanisms for improving population health. This process needs to fully accommodate the thematic suitability of health information supply and demand and reduce the impact of information overload and supply–demand mismatch on the enthusiasm of health information acquisition. We propose a health information topic modeling analysis framework that integrates deep learning methods and clustering techniques to model the supply-side and demand-side topics of health information and to quantify the thematic alignment of supply and demand. To validate the effectiveness of the framework, we have conducted an empirical analysis on a dataset with 90,418 pieces of textual data from two prominent social networking platforms. The results show that the supply of health information in general has not yet met the demand, the demand for health information has not yet been met to a considerable extent, especially for disease-related topics, and there is clear inconsistency between the supply and demand sides for the same health topics. Public health policy-making departments and content producers can adjust their information selection and dissemination strategies according to the distribution of identified health topics, thereby improving the effectiveness of public health information dissemination.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 2","pages":"152-166"},"PeriodicalIF":3.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135222049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A network coupling approach to detecting hierarchical linkages between science and technology","authors":"Kai Meng, Zhichao Ba, Yaxue Ma, Gang Li","doi":"10.1002/asi.24847","DOIUrl":"10.1002/asi.24847","url":null,"abstract":"<p>Detecting science–technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 2","pages":"167-187"},"PeriodicalIF":3.5,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135221444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lorena Delgado-Quirós, Isidro F. Aguillo, Alberto Martín-Martín, Emilio Delgado López-Cózar, Enrique Orduña-Malea, José Luis Ortega
{"title":"Why are these publications missing? Uncovering the reasons behind the exclusion of documents in free-access scholarly databases","authors":"Lorena Delgado-Quirós, Isidro F. Aguillo, Alberto Martín-Martín, Emilio Delgado López-Cózar, Enrique Orduña-Malea, José Luis Ortega","doi":"10.1002/asi.24839","DOIUrl":"10.1002/asi.24839","url":null,"abstract":"<p>This study analyses the coverage of seven free-access bibliographic databases (Crossref, Dimensions—non-subscription version, Google Scholar, Lens, Microsoft Academic, Scilit, and Semantic Scholar) to identify the potential reasons that might cause the exclusion of scholarly documents and how they could influence coverage. To do this, 116 k randomly selected bibliographic records from Crossref were used as a baseline. API endpoints and web scraping were used to query each database. The results show that coverage differences are mainly caused by the way each service builds their databases. While classic bibliographic databases ingest almost the exact same content from Crossref (Lens and Scilit miss 0.1% and 0.2% of the records, respectively), academic search engines present lower coverage (Google Scholar does not find: 9.8%, Semantic Scholar: 10%, and Microsoft Academic: 12%). Coverage differences are mainly attributed to external factors, such as web accessibility and robot exclusion policies (39.2%–46%), and internal requirements that exclude secondary content (6.5%–11.6%). In the case of Dimensions, the only classic bibliographic database with the lowest coverage (7.6%), internal selection criteria such as the indexation of full books instead of book chapters (65%) and the exclusion of secondary content (15%) are the main motives of missing publications.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 1","pages":"43-58"},"PeriodicalIF":3.5,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24839","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"JASIST Special Issue Editorial: Re-orienting search engine research in information science","authors":"Dirk Lewandowski, Jutta Haider, Olof Sundin","doi":"10.1002/asi.24845","DOIUrl":"10.1002/asi.24845","url":null,"abstract":"","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 5","pages":"503-511"},"PeriodicalIF":3.5,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136262371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Romy Menghao Jia, Jia Tina Du, Yuxiang (Chris) Zhao
{"title":"Interaction with peers online: LGBTQIA+ individuals' information seeking and meaning-making during the life transitions of identity construction","authors":"Romy Menghao Jia, Jia Tina Du, Yuxiang (Chris) Zhao","doi":"10.1002/asi.24837","DOIUrl":"10.1002/asi.24837","url":null,"abstract":"<p>People search for information and experiences and seek meaning as a common reaction to new life challenges. There is little knowledge about the interactions through which experiential information is acquired, and how such interactions are meaningful to an information seeker. Through a qualitative content analysis of 992 posts in an online forum, this study investigated lesbian, gay, bisexual, transgender, intersex, queer/questioning, asexual (LGBTQIA+) individuals' online information interactions and meaning-making with peers during their life transitions of identity construction. Our analysis reveals LGBTQIA+ people's life challenges across three transition stages (being aware of, exploring, and living with a new identity). Three main types of online peer interactions were identified within: cognitive, affective, and situational peer interactions. We found that online peer interactions are not only a type of information source that LGBTQIA+ individuals use to acquire understanding about themselves but a unique space for transformation learning and meaning-making where they share self-examination and reflection, conduct assessments and assumptions, and obtain strength and skills to initiate and adapt life transitions. The findings have theoretical contributions to the development of information behavior models of transitions and practical implications on providing information services that support LGBTQIA+ individuals' meaning-making during the life transition.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 1","pages":"24-42"},"PeriodicalIF":3.5,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24837","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134908952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuxiang (Chris) Zhao, Jia Tina Du, Natalie Pang, Jaya Raju, Hui Yan
{"title":"<scp><i>JASIST</i></scp> special issue on <scp>ICT4D</scp> and intersections with the information field","authors":"Yuxiang (Chris) Zhao, Jia Tina Du, Natalie Pang, Jaya Raju, Hui Yan","doi":"10.1002/asi.24838","DOIUrl":"https://doi.org/10.1002/asi.24838","url":null,"abstract":"Journal of the Association for Information Science and TechnologyEarly View GUEST EDITORIAL JASIST special issue on ICT4D and intersections with the information field Yuxiang (Chris) Zhao, Corresponding Author Yuxiang (Chris) Zhao [email protected] School of Information Management, Nanjing University, Nanjing, China Correspondence Yuxiang (Chris) Zhao, School of Information Management, Nanjing University, 163 Xianlin Ave., Qixia District, Nanjing 210094, China. Email: [email protected]Search for more papers by this authorJia Tina Du, Jia Tina Du orcid.org/0000-0002-3243-5768 UniSA STEM, University of South Australia, Adelaide, South Australia, Australia School of Information and Communication Studies, Charles Sturt University, Wagga Wagga, New South Wales, AustraliaSearch for more papers by this authorNatalie Pang, Natalie Pang orcid.org/0000-0003-0549-3652 Communications and New Media Department and NUS Libraries, National University of Singapore, Singapore, SingaporeSearch for more papers by this authorJaya Raju, Jaya Raju Department of Knowledge and Information Stewardship, University of Cape Town, Cape Town, South AfricaSearch for more papers by this authorHui Yan, Hui Yan School of Information Resource Management, Renmin University of China, Beijing, ChinaSearch for more papers by this author Yuxiang (Chris) Zhao, Corresponding Author Yuxiang (Chris) Zhao [email protected] School of Information Management, Nanjing University, Nanjing, China Correspondence Yuxiang (Chris) Zhao, School of Information Management, Nanjing University, 163 Xianlin Ave., Qixia District, Nanjing 210094, China. Email: [email protected]Search for more papers by this authorJia Tina Du, Jia Tina Du orcid.org/0000-0002-3243-5768 UniSA STEM, University of South Australia, Adelaide, South Australia, Australia School of Information and Communication Studies, Charles Sturt University, Wagga Wagga, New South Wales, AustraliaSearch for more papers by this authorNatalie Pang, Natalie Pang orcid.org/0000-0003-0549-3652 Communications and New Media Department and NUS Libraries, National University of Singapore, Singapore, SingaporeSearch for more papers by this authorJaya Raju, Jaya Raju Department of Knowledge and Information Stewardship, University of Cape Town, Cape Town, South AfricaSearch for more papers by this authorHui Yan, Hui Yan School of Information Resource Management, Renmin University of China, Beijing, ChinaSearch for more papers by this author First published: 20 October 2023 https://doi.org/10.1002/asi.24838Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135618347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding co-corresponding authorship: A bibliometric analysis and detailed overview","authors":"Wencan Tian, Ruonan Cai, Zhichao Fang, Yu Geng, Xianwen Wang, Zhigang Hu","doi":"10.1002/asi.24836","DOIUrl":"10.1002/asi.24836","url":null,"abstract":"<p>The phenomenon of co-corresponding authorship is becoming more and more common. To understand the practice of authorship credit sharing among multiple corresponding authors, we comprehensively analyzed the characteristics of the phenomenon of co-corresponding authorships from the perspectives of countries, disciplines, journals, and articles. This researcher was based on a dataset of nearly 8 million articles indexed in the Web of Science, which provides systematic, cross-disciplinary, and large-scale evidence for understanding the phenomenon of co-corresponding authorship for the first time. Our findings reveal that higher proportions of co-corresponding authorship exist in Asian countries, especially in China. From the perspective of disciplines, there is a relatively higher proportion of co-corresponding authorship in the fields of engineering and medicine, while a lower proportion exists in the humanities, social sciences, and computer science fields. From the perspective of journals, high-quality journals usually have higher proportions of co-corresponding authorship. At the level of the article, our findings proved that, compared to articles with a single corresponding author, articles with multiple corresponding authors have a significant citation advantage.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 1","pages":"3-23"},"PeriodicalIF":3.5,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135590311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}