Journal of the Association for Information Science and Technology最新文献

{"title":"Methodological challenges in content-based citation analysis: Expertise, reliability, and the primacy of citance identification","authors":"Zehra Taşkın","doi":"10.1002/asi.70102","DOIUrl":"https://doi.org/10.1002/asi.70102","url":null,"abstract":"<p>Content-based citation analysis seeks to capture the meaning and functions of citations but continues to face unresolved methodological challenges. This study analyzes a stratified sample of library and information science publications to examine how citance segmentation and annotator expertise influence the consistency of classification. Using two annotators with different professional backgrounds, the findings show that agreement is high when citances are defined identically, but reliability decreases sharply once text boundaries diverge. Citance length, rather than subject category or citation density, emerges as the strongest predictor of disagreement. These results identify segmentation as a methodological rather than a purely technical issue, shaping both human and automated tagging outcomes. By highlighting the interplay between expertise effects and boundary definitions, the study underscores the need for clearer operational frameworks in citation analysis. The contribution lies in demonstrating that methodological refinements in citance identification are essential for improving reproducibility, enhancing hybrid human–machine approaches, and strengthening the validity of citation-based indicators in research evaluation.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 10","pages":"1271-1286"},"PeriodicalIF":5.1,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149014729","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":"How to make data valuable in digital humanities projects? Stages, archetypes, and guidelines for data practice","authors":"Hua Jian,&nbsp;Xilong Hou,&nbsp;Xiaoguang Wang,&nbsp;Wenshan Lv,&nbsp;Qingyu Duan","doi":"10.1002/asi.70096","DOIUrl":"https://doi.org/10.1002/asi.70096","url":null,"abstract":"<p>A cornerstone of digital humanities (DH) is its engagement with diverse data practices across disciplines, which create academic, educational, cultural, historical, social, technological, and economic value. However, data value theories derived from business and management domains are not entirely applicable to the DH domain. Humanities data practices remain insufficiently theorized, with limited insights into the implementation of these value-centric practices. To address these gaps, this study employs a multiple-case study and content analysis to examine data practices in 17 DH projects. The analysis identifies four stages of the humanities data value chain (DVC): data collection, data processing, data exposition, and data sharing. Humanities data practices are clustered into three archetypes: data transformation by expanding data scale, data enrichment by enriching data context, and data revitalization by facilitating data reuse. Synthesizing these findings, the study proposes a conceptual model illustrating how humanities data practices create multi-dimensional value across the DVC stages. Furthermore, four guidelines are proposed to support the implementation of these value-centric data practices. As a pivotal effort to theorize value-centric data practices in DH, this study extends data value theory in the DH domain, thereby fostering interdisciplinary collaboration and advancing the development of robust humanities data infrastructure.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 9","pages":"1191-1212"},"PeriodicalIF":5.1,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719232","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":"Data management plans as anticipatory discursive infrastructure","authors":"Megan Finn,&nbsp;Thomas Struett,&nbsp;Yubing Tian,&nbsp;Amelia Acker","doi":"10.1002/asi.70086","DOIUrl":"https://doi.org/10.1002/asi.70086","url":null,"abstract":"<p>The Data Management Plan (DMP) and similar plans are required by research and scientific agencies all over the world to ideally achieve the goals of open science. This paper focuses on the case of DMPs for the United States' National Science Foundation (NSF). The concept <i>anticipatory discursive infrastructure</i> shows how DMPs illuminate the policies, rules, procedures, and laws that shape data cultures. The DMP is anticipatory because it imagines but doesn't determine the future of science, and it is discursive in the sense that the guidelines that it points to are interpreted and enacted in data management processes. It is also infrastructural in that the DMP underpins the production of knowledge infrastructures. We contrast how the DMP policy requirement was adapted by two program areas of research: Science and Technology Studies, called STS, and Ocean Sciences. Through analysis of guidelines discussed in 423 Ocean Science and STS DMPs from funded NSF projects, our analysis demonstrates how DMPs both <i>constitute</i> and <i>map</i> different anticipatory discursive infrastructures: Ocean Science researchers referred to field best practices, policies from well-funded data repositories, and specific NSF guidelines; STS referred to human subjects rules and general university resource guidelines for data management and data access.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 9","pages":"1136-1152"},"PeriodicalIF":5.1,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719240","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":"Scientific collaboration in data-intensive research networks: PhD fellows' expectations and early experiences","authors":"Grischa Fraumann,&nbsp;Haakon Lund,&nbsp;Frans van der Sluis,&nbsp;Morten Hertzum","doi":"10.1002/asi.70094","DOIUrl":"https://doi.org/10.1002/asi.70094","url":null,"abstract":"<p>Collaboration has become important at all stages of research careers. In data-intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind-energy training networks, we investigate their expectations and early experiences regarding scientific collaboration. We find that expectations for collaboration are high, but also that the PhD fellows' expectations and early experiences differ. Their experiences are influenced by conditions that make collaboration a balancing act at the organizational, content, process, and personal levels. At the organizational level, learning scientific collaboration involves negotiating interdependencies that are created at the network-proposal stage and presume collaborations about data among the PhD fellows in the network. At the content and process levels, the PhD fellows are dependent on collaboration to collect, analyze, share, validate, and compare data. At the personal level, devising a doable dissertation involves that the individual PhD fellow succeeds in realizing these collaborations. While the studied wind-energy research networks nurture a collaborative environment, the collaboration they presume and the rewards it promises come with the risk of imposing imbalanced collaborations on some PhD fellows.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 9","pages":"1153-1168"},"PeriodicalIF":5.1,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70094","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719344","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":"Beyond a number game: Flat team structures improve inclusion and performance in diverse scientific teams","authors":"Huimin Xu,&nbsp;Shujing Sun,&nbsp;Meijun Liu,&nbsp;Chenwei Zhang,&nbsp;Yi Bu,&nbsp;Yi Zhang,&nbsp;Daniel E. Acuna,&nbsp;Eric Meyer,&nbsp;Ying Ding","doi":"10.1002/asi.70083","DOIUrl":"https://doi.org/10.1002/asi.70083","url":null,"abstract":"<p>The promises and perils about scientific team diversity are still debated in the scholarly literature, partly because the importance of underrepresented groups is not fully recognized or valued. In this paper, we summarize two perspectives on team diversity in science: horizontal differences and vertical disparity. Horizontal differences refer to variations across individuals on equal levels, such as differences in gender, nationality, and occupation. Vertical disparity reflects broader social and structural inequalities that limit historically marginalized groups. We introduce team hierarchy, defined as the distribution of power and influence among team members, as a moderating mechanism that helps explain the mixed findings surrounding team diversity and performance. Understanding how hierarchical structures shape diversity is not only important to maximize the benefits of diverse teams but also for enhancing the representation and impact of underrepresented voices. By analyzing 64,038 papers from PloS One and 75,260,139 teams from Microsoft Academic Graph (MAG), our comprehensive study underscores the critical role of team hierarchy in significantly affecting team performance. We also investigate how team hierarchy interacts with team diversity along three dimensions: authors' gender, sector, and country. Interestingly, we find that flat team structures are more positively associated with performance in diverse teams than in homogeneous teams, where members share similar identities. This effect is particularly strong in science compared to social science &amp; arts disciplines. Drawing from social identity and social dominance theories, we propose that flat team structures foster conditions for diverse teams to flourish, enabling minority groups to assume significant roles and wield influential power. Our study contributes valuable insights into team diversity within the scientific community, emphasizing the significance of meaningful inclusion beyond mere numerical representation.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 9","pages":"1119-1135"},"PeriodicalIF":5.1,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719222","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 hare and the tortoise: Open access publications' immediate impact and lasting advantage","authors":"Michael Taylor","doi":"10.1002/asi.70095","DOIUrl":"https://doi.org/10.1002/asi.70095","url":null,"abstract":"<p>Open Access has changed how research is published and discovered. Studies generally report that OA articles are cited and mentioned more often than non-OA, describing an open access advantage (OAA). The mechanisms causing the OAA are under-investigated: this research analyzes citation and altmetrics post-publication, reporting on the development of OAAs over time. A set of journal articles (<i>N</i> = 44.4 M) is analyzed using seven metrics (citations from journal articles and six altmetrics), using a longitudinal methodology. These data are presented as a ratio of OA:non-OA. OAAs are confirmed for many metrics: early advantages are strong for citation and policy metrics, moderate for news and blogs, and mostly absent for patent citations. Many OAAs are sustained in the years post-publication, although citation OAAs, which typically drop in the year after publication, grow strongly in the following years. OAAs do not generally disappear over time, with the exception of policy citations. Most OAAs appear shortly after publication, and although some develop over time, they are generally sustained in subsequent years. The evidence favors an explanation associated with early activity; other explanations are required to understand subsequent changes in OAAs. There are significant implications for funders, researchers, and publishers.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 9","pages":"1169-1190"},"PeriodicalIF":5.1,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719229","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":"Beyond counting tweets: An exploration of scholarly conversations on Twitter","authors":"Yan Shen,&nbsp;Jonathan Dudek,&nbsp;Rodrigo Costas","doi":"10.1002/asi.70097","DOIUrl":"https://doi.org/10.1002/asi.70097","url":null,"abstract":"<p>Academic discussions on Twitter have increased over the past decade. This study analyzes ca. 1.3 million scholarly conversations on Twitter, examining their temporal evolution, topical distribution, and associated publications. The results show a steady growth in the number of scholarly conversations, accompanied by rising proportions of longer and multi-topic conversations. The visibility of different disciplines and topics varies significantly, with popular themes often closely related to societal events. By comparing topic co-occurrence networks in Twitter conversations with co-citation networks in scholarly literature, the study reveals both commonalities and differences in topic structures across academic and non-academic communication contexts. Moreover, publications that appear in multiple conversations are associated with higher citation counts, suggesting a potential link between conversational engagement and scholarly impact. These findings highlight that the feature of conversations on social media has value not only for refining indicators of scholarly attention and influence beyond simple mention counts, but also to capture more broadly how research is disseminated online.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 9","pages":"1213-1239"},"PeriodicalIF":5.1,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148719241","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":"Delineating gender/sex-related studies through bibliometric analysis","authors":"Natsumi S. Shokida,&nbsp;Diego Kozlowski,&nbsp;Vincent Larivière","doi":"10.1002/asi.70082","DOIUrl":"https://doi.org/10.1002/asi.70082","url":null,"abstract":"<p>The multidisciplinary and socially grounded nature of Women's/Gender/Feminist Studies poses unique challenges for bibliometric analysis, as it extends beyond conventional disciplinary boundaries. This paper makes three key contributions: (1) We propose a novel retrieval method for constructing a corpus of scholarly documents in research areas that cannot be accurately identified through traditional field classifications. This method employs a core–periphery structure that integrates journals and keywords, leveraging bibliometric techniques, topic modeling, and manual curation. This methodology can be adapted to delineate other academic conversations. (2) We apply this approach to gender/sex-related research using the Dimensions database, obtaining a corpus of 1.9 million scientific documents across four languages and openly sharing the DOIs to facilitate reuse by the research community. This dataset allows for a comprehensive characterization of Gender Studies in terms of research topics, citation and collaboration dynamics, and institutional and regional participation. (3) Finally, the results indicate that the core of Gender Studies emerged and institutionalized from the mid-1970s across different disciplines, and the usage of key terms such as ‘gender’ or ‘sex’ varies across communities and time periods.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 8","pages":"1015-1031"},"PeriodicalIF":5.1,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148522847","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":"Total handling time and author ratings of journals: Evidence from an online review platform","authors":"Jinglong Chen,&nbsp;Junyi Wen,&nbsp;Qinyi Gu","doi":"10.1002/asi.70087","DOIUrl":"https://doi.org/10.1002/asi.70087","url":null,"abstract":"<p>The increasingly competitive research environment places growing time pressure on authors, making their submission experience a critical component of author evaluation and perceptions of journal reputation in scholarly publishing. This study examines the association between total handling time (THT) and author ratings of journals. Using 33,615 author-reported records from LetPub, an online review platform, we link THT with overall evaluations to assess how processing time is reflected in satisfaction. The results show a stable negative association: longer THT is associated with lower author ratings after controlling for submission outcomes, journal characteristics, and reputation indicators. Robustness checks support this finding. Heterogeneity analyses indicate that time-sensitive disciplines respond more strongly to long THT, while fields with slower review norms show greater tolerance. The negative association is stronger among journals with moderate reputation levels than among top-tier journals, and is also more pronounced among lower-frequency journals. These results suggest that public platforms capture authors' dissatisfaction with slow processing. The study provides new large-scale evidence on the association between individual submission experiences and authors' evaluations of journals on public platforms.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 8","pages":"1051-1066"},"PeriodicalIF":5.1,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148533075","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":"When AI outputs become documents: Documentation activity in human–AI dialogue","authors":"Sascha Donner","doi":"10.1002/asi.70090","DOIUrl":"https://doi.org/10.1002/asi.70090","url":null,"abstract":"<p>Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding. This challenges foundational assumptions in document theory about authority, accountability, and evidentiary value. This study investigates how AI-generated text acquires documentary force through situated use. Through reflexive case study analysis of an extended ChatGPT dialogue, I apply systematic thematic coding guided by the Model of Documentation Activity (MoDA) to trace documentation activity across physical, mental, and social dimensions. The analysis advances three contributions to document theory and AI governance. First, I demonstrate the analytic utility of the concept of artificially blended testimony (ABT) for examining how LLM outputs provisionally stabilize as documentary artifacts despite lacking testimonial grounding. Second, I show how AI outputs acquire documentary status through human practices of framing boundaries, establishing form, and attributing responsibility. Third, I reconceptualize human oversight mandates in AI governance as documentation thresholds, identifying the documentation practices required for AI outputs to function as preservable, citable, and accountable documents within information infrastructures.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 8","pages":"1067-1083"},"PeriodicalIF":5.1,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148522881","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}