Krystyna K. Matusiak, Veslava Osinska, Peter Organisciak, Robyn Thomas Pitts
{"title":"Research methods and the use of visual representation in library and information science research","authors":"Krystyna K. Matusiak, Veslava Osinska, Peter Organisciak, Robyn Thomas Pitts","doi":"10.1002/asi.24945","DOIUrl":"10.1002/asi.24945","url":null,"abstract":"<p>The increasing variety of research strategies and data collection techniques in information science, the access to large secondary data sets, and the ubiquity of information visualization call for expanding the classification of research methods and exploring how research is communicated visually. This study examined the relationship between types of data used in empirical research, visualizations, and research methods applied in information science studies. It analyzed 751 research articles published in the <i>Journal of the Association for Information Science and Technology</i> (<i>JASIST</i>) using content analysis and machine learning techniques. The study finds that most empirical studies adopted a quantitative design with data mining, bibliometrics, experiments, and surveys as dominant strategies. The substantial use of secondary data points to the shift in how data are collected in empirical research. The <i>JASIST</i> articles used a variety of visualizations to present research designs and findings, with quantitative and mixed methods studies employing primarily tables and charts and qualitative studies relying more on tables and diagrams. This study uniquely explores the relationship between research methods and visualization. It contributes to the classification of the methods in information science by expanding the range of strategies within the quantitative, qualitative, and mixed methods designs.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 3","pages":"527-544"},"PeriodicalIF":2.8,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946077","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}
Besiki Stvilia, Yuanying Pang, Dong Joon Lee, Fatih Gunaydin
{"title":"Data quality assurance practices in research data repositories—A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper","authors":"Besiki Stvilia, Yuanying Pang, Dong Joon Lee, Fatih Gunaydin","doi":"10.1002/asi.24948","DOIUrl":"10.1002/asi.24948","url":null,"abstract":"<p>Data quality issues can significantly hinder research reproducibility, data sharing, and reuse. At the forefront of addressing data quality issues are research data repositories (RDRs). This study conducted a systematic analysis of data quality assurance (DQA) practices in RDRs, guided by activity theory and data quality literature, resulting in conceptualizing a data quality assurance model (DQAM) for RDRs. DQAM outlines a DQA process comprising evaluation, intervention, and communication activities and categorizes 17 quality dimensions into intrinsic and product-level data quality. It also details specific improvement actions for data products and identifies the essential roles, skills, standards, and tools for DQA in RDRs. By comparing DQAM with existing DQA models, the study highlights its potential to improve these models by adding a specific DQA activity structure. The theoretical implication of the study is a systematic conceptualization of DQA work in RDRs that is grounded in a comprehensive analysis of the literature and offers a refined conceptualization of DQA integration into broader frameworks of RDR evaluation. In practice, DQAM can inform the design and development of DQA workflows and tools. As a future research direction, the study suggests applying and evaluating DQAM across various domains to validate and refine this model further.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 1","pages":"238-261"},"PeriodicalIF":2.8,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141946078","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":"The logic behind cyberchondria: Longitudinal relations among risk perception, health anxiety, and online health information seeking","authors":"Yanhui Song, Deyu Min","doi":"10.1002/asi.24946","DOIUrl":"https://doi.org/10.1002/asi.24946","url":null,"abstract":"<p>The cyberchondria phenomenon presents a significant health concern, yet there remains a relative scarcity of research on the formation mechanisms of cyberchondria and its longitudinal studies. Based on the RISP model and C-A-C framework, this study aimed to examine the longitudinal associations between risk perception, health anxiety, and online health information seeking (OHIS) within the context of Chinese social media. We used a three-wave longitudinal survey with 514 participants at one-month intervals starting September 2023, employing the Random Intercept Cross-Lagged Panel Model (RI-CLPM) for data analysis. At the between-person level, we solely observed significant negative associations between health anxiety and OHIS. At the within-person level, (1) positively bidirectional associations were noted among the three main variables; (2) causal relationships were identified between risk perception and OHIS, as well as between health anxiety and OHIS; (3) Health anxiety partially mediated the relationship between risk perception and OHIS, and OHIS fully mediated the relationship between health anxiety at T1 and T3; and (4) multi-group analyses showed that gender differences in RI-CLPM were significant, while age differences were insignificant. The results offer theoretical and practical insights for health practitioners, information seekers, and social media platforms.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 3","pages":"545-562"},"PeriodicalIF":2.8,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143423676","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}
Alex J. Yang, Xiaohui Yan, Haotian Hu, Hanlin Hu, Jia Kong, Sanhong Deng
{"title":"Are disruptive papers more likely to impact technology and society?","authors":"Alex J. Yang, Xiaohui Yan, Haotian Hu, Hanlin Hu, Jia Kong, Sanhong Deng","doi":"10.1002/asi.24947","DOIUrl":"10.1002/asi.24947","url":null,"abstract":"<p>In exploring the intersection of scholarly research with technological advancement and societal impact, our analysis delves into nearly 40 million research papers spanning from 1950 to 2020 across all fields of study in science. Our scrutiny reveals an intriguing phenomenon: papers characterized by a higher CD index, often considered transformative, paradoxically exhibit a diminished propensity to influence technological and societal domains. This observation suggests a latent bias against the CD index, prompting a deeper inquiry into its implications. To unravel this trend, we introduce the concept of “disruptive citation,” a nuanced metric gauging the absolute disruptive impact of papers. Notably, papers drawing higher disruptive citations exhibit a significantly higher probability to influence both technological and societal spheres. Upon examining the heterogeneity across years and fields, we identify a bias against the CD index predominantly in the last two decades and within STEM fields. However, the positive effects of disruptive impact remain consistent across all years and fields. Our findings remain robust even when employing alternative measures of disruptive impact and controlling for total citations. By shedding light on these dynamics, our study seeks to enrich discussions regarding the recognition and role of disruptive scientific endeavors in shaping our world.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 3","pages":"563-579"},"PeriodicalIF":2.8,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141881257","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":"Trends in information behavior research, 2016–2022: An Annual Review of Information Science and Technology (ARIST) paper","authors":"Isto Huvila, Tim Gorichanaz","doi":"10.1002/asi.24943","DOIUrl":"10.1002/asi.24943","url":null,"abstract":"<p>Research on how people look for and interact with information has a long history in the information field. The current literature has been repeatedly reviewed in earlier volumes of <i>Annual Review of Information Science and Technology</i>. In this review, we offer an overview of the research published in this area in the years 2016–2022 with a focus on the trends that have emerged in this period. We use the term “information behavior” as an umbrella for the research area interested in how people become informed and engage with information in diverse manners acknowledging that different researchers and subfields prefer other terms and frameworks, including information practices, information experience, and health information seeking, to name a few. We reviewed 1270 articles in the field published in the years 2016–2022 and identified seven emerging trends: The CoVID-19 Pandemic, Diversity and Inclusion, Embodiment, Misinformation and Trust, Social Q&A Websites, Collaboration, and Information Creation. The reviewed literature and trends are discussed in relation to their significance for information, earlier review of information behavior research, and the long-debated issue of theory-driven versus atheoretical research in the field.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 1","pages":"216-237"},"PeriodicalIF":2.8,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24943","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141886834","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}
Irene V. Pasquetto, Zoë Cullen, Andrea Thomer, Morgan Wofford
{"title":"What is research data “misuse”? And how can it be prevented or mitigated?","authors":"Irene V. Pasquetto, Zoë Cullen, Andrea Thomer, Morgan Wofford","doi":"10.1002/asi.24944","DOIUrl":"10.1002/asi.24944","url":null,"abstract":"<p>Despite increasing expectations that researchers and funding agencies release their data for reuse, concerns about data misuse hinder the open sharing of data. The COVID-19 crisis brought urgency to these concerns, yet we are currently missing a theoretical framework to understand, prevent, and respond to research data misuse. In the article, we emphasize the challenge of defining misuse broadly and identify various forms that misuse can take, including methodological mistakes, unauthorized reuse, and intentional misrepresentation. We pay particular attention to underscoring the complexity of defining misuse, considering different epistemological perspectives and the evolving nature of scientific methodologies. We propose a theoretical framework grounded in the critical analysis of interdisciplinary literature on the topic of misusing research data, identifying similarities and differences in how data misuse is defined across a variety of fields, and propose a working definition of what it means “to misuse” research data. Finally, we speculate about possible curatorial interventions that data intermediaries can adopt to prevent or respond to instances of misuse.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 12","pages":"1413-1429"},"PeriodicalIF":2.8,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24944","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778726","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":"The role of information and communication technologies in disclosing and reporting sexual assault among young adults: A systematic review. An Annual Review of Information Science and Technology (ARIST) paper","authors":"Valerie Lookingbill, Travis L. Wagner","doi":"10.1002/asi.24941","DOIUrl":"10.1002/asi.24941","url":null,"abstract":"<p>As survivors have complex and varied motivations for disclosing sexual assault, information and communication technologies (ICTs) can offer unique affordances that either facilitate or hinder sexual assault disclosures. In response, this systematic review draws connections between the functions of sexual assault disclosures and how ICT design choices can impact the sexual assault disclosure process. Findings from 23 empirical studies indicate that platform affordances can facilitate sexual assault survivors' motivations of visibility, naming sexual assault experiences, anonymity, and destigmatizing sexual assault. Further, findings categorize ICT-based sexual assault disclosure within three frames: disclosure as a linguistic act, disclosure as a reciprocal act, and disclosure as a cultural response. In turn, findings from this systematic review reveal a need for a better understanding of how ICTs function as counter-discursive information spaces and identify important considerations for redesigning ICTs to allow for sexual assault disclosure work to flourish.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 1","pages":"193-215"},"PeriodicalIF":2.8,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24941","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141778727","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":"Exploring the critical years for interdisciplinary citations","authors":"Guoyang Rong, Feicheng Ma, Yuxing Qian, Zhijian Zhang, Shuaipu Chen, Yujiao Sun","doi":"10.1002/asi.24940","DOIUrl":"10.1002/asi.24940","url":null,"abstract":"<p>Revealing interdisciplinary patterns is a cornerstone for the continued evolution of research, education, and societal progress, providing a scaffold upon which to build a more collaborative and integrated approach to knowledge creation. This study presents a novel approach to identifying and analyzing the critical year for interdisciplinary citations (CYIC), which was defined as the year in which qualitative change in interdisciplinary knowledge flow occurred. We conducted two experiments using a Chinese paper dataset spanning 106 disciplines from 1992 to 2022, with the first to pinpoint the occurrence of CYICs and the second to examine three patterns of interdisciplinarity following these CYICs. Our findings revealed that 85% of disciplines exhibit CYICs, often corresponding with a transition from unidirectional output to reciprocal knowledge cooperation. Furthermore, we found that datasets after CYICs are generally characterized by increased interdisciplinarity of knowledge, albeit without a corresponding rise in the interdisciplinarity of disciplines or interdisciplinary diversity. Our results suggest that policy shifts and societal needs are pivotal in driving the formation of interdisciplinary collaborations, as exemplified by the surge in mutual interdisciplinary citations in response to China's poverty alleviation efforts and western development policies.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 12","pages":"1398-1412"},"PeriodicalIF":2.8,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654724","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}
Janice Bially Mattern, Joseph Kohlburn, Heather Moulaison-Sandy
{"title":"Why academics under-share research data: A social relational theory","authors":"Janice Bially Mattern, Joseph Kohlburn, Heather Moulaison-Sandy","doi":"10.1002/asi.24938","DOIUrl":"10.1002/asi.24938","url":null,"abstract":"<p>Despite their professed enthusiasm for open science, faculty researchers have been documented as not freely sharing their data; instead, if sharing data at all, they take a minimal approach. A robust research agenda in LIS has documented the data under-sharing practices in which they engage, and the motivations they profess. Using theoretical frameworks from sociology to complement research in LIS, this article examines the broader context in which researchers are situated, theorizing the social relational dynamics in academia that influence faculty decisions and practices relating to data sharing. We advance a theory that suggests that the academy has entered a period of transition, and faculty resistance to data sharing through foot-dragging is one response to shifting power dynamics. If the theory is borne out empirically, proponents of open access will need to find a way to encourage open academic research practices without undermining the social value of academic researchers.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 9","pages":"988-1001"},"PeriodicalIF":2.8,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24938","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141567028","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":"The significant yet short-term influence of research covidization on journal citation metrics","authors":"Xiang Zheng, Chaoqun Ni","doi":"10.1002/asi.24939","DOIUrl":"10.1002/asi.24939","url":null,"abstract":"<p>COVID-19 has emerged as a major research hotspot and trending topic in recent years, leading to increased publications and citations of related papers. While concerns exist about the potential citation boost in journals publishing these papers, the specifics are not fully understood. This study uses a generalized difference-in-differences approach to examine the impact of publishing COVID-19 papers on journal citation metrics in the Health Sciences fields. Findings indicate that journals publishing COVID-19 papers in 2020 received significantly higher citation premiums due to COVID-19 in 2020 and continued to benefit from the premium in 2021 in certain fields. In contrast, journals that began publishing COVID-19 papers in 2021 experienced weaker citation premiums. The citation premiums exhibit some negative spillover effect: Although the publication volume of non-COVID-19 papers also surged, these papers experienced insignificant or negative citation gains, even when published in the same journals as COVID-19 papers. COVID-19 papers published in high-impact journals brought higher citation premiums than those in low-impact journals in most fields, indicating a potential Matthew effect. These citation premiums can affect various citation-based journal metrics, such as our simulated impact factor and SCImago Journal Rank, to different degrees. Compared to the simulated impact factor, other normalized journal metrics are less influenced by citation premiums. The results highlight a “gold rush” pattern in which early entrants establish their citation advantage in research hotspots and caution against using citation-based metrics for research assessment.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 9","pages":"1002-1017"},"PeriodicalIF":2.8,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24939","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552642","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}