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Journal of Data and Information Science
Scopus
ISSN 2543-683X · De Gruyter · 307 artikel di indeks
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Artikel Jurnal
Evaluating research quality with Large Language Models: An analysis of ChatGPT’s effectiveness with different settings and inputs
Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises, appointments and promotion. It is therefore important to investigate whether Large Language Models (LLMs) can play a role in this process.
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Open science indicator compliance by Spanish scientific journals
This paper focuses on scientific journals’ policies on open access and open science. The subject has gained increasing relevance, driven by the need for more-democratic access to knowledge and improved research visibility, which require eliminating the financial, legal, and technical barriers that…
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From definitions to implementation – A guide to collect and apply the Lancet Commission on Global Surgery indicators: An Utstein consensus report
Metrics for surgery, obstetrics, and anesthesia are crucial for implementing programs and monitoring progress toward safe and effective healthcare systems in pursuit of universal healthcare. A suite of metrics put forward by the Lancet Commission on Global Surgery has been adopted in principle by…
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A small step towards the epistemic decentralization of science: A dataset of journals and publications indexed in African Journals Online
This paper examines African Journals Online (AJOL) as a bibliometric resource, providing a structured dataset of journal and publication metadata. In addition, it integrates AJOL data with OpenAlex to enhance metadata coverage and improve interoperability with other bibliometric sources.
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Uncertain research country rankings. Should we continue producing uncertain rankings?
Citation-based assessments of countries’ research capabilities often misrepresent their ability to achieve breakthrough advancements. These assessments commonly classify Japan as a developing country, which contradicts its prominent scientific standing. The purpose of this study is to investigate…
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Research evaluation reform and the heterogeneity of researchers’ metric-wiseness
We aimed to measure the variation in researchers’ knowledge and attitudes towards bibliometric indicators. The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.
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Understanding teams and productivity in information retrieval research: Academia, industry, and cross-community collaborations
Prior Information Retrieval (IR) research synthesizes progress from individual studies, yet academia-industry collaboration dynamics remain unexplored. This study investigates: (1) productivity patterns and venues, (2) citations-downloads relationships, (3) topic evolution, and (4) collaboration…
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APC waivers and Ukraine’s publishing output in Gold OA journals: Evidence from five commercial publishers
This paper investigates the impact of 100 % article processing charge (APC) waivers introduced by the five largest commercial publishers – Elsevier, SAGE, Springer Nature, Taylor & Francis, and Wiley – on the participation of Ukrainian researchers in fully Gold Open Access (OA) publishing during…
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A holistic evaluation framework for Chinese graded reading system
This study aims to address the lack of a unified grading framework in Chinese reading by proposing a comprehensive model integrating linguistic complexity and reading experience, to evaluate the difficulty level of Chinese books.
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The science of scientific prizes
This study synthesizes existing research on scientific prizes and outlines a framework for understanding how reward systems shape careers, credit allocation, and field trajectories.
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The road to ACM fellowship: Examining collaboration patterns and disparities
This study investigates factors associated with scientific recognition, examining how collaboration networks influence the path to ACM fellowship.
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Citation Concept Analysis (CCA) of concepts introduced by Pierre Bourdieu: Measuring their impact across fields and periods
Citations can be used in evaluative bibliometrics to measure the impact of papers. However, citation analysis can be extended by a multi-dimensional perspective on citation impact which is intended to receive more specific information about the kind of received impact.
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University chancellorship and research productivity: An investigation of the number of published articles
With the growth of knowledge and increasing competition, the assessment of scientific articles has become a challenging issue. Previous research suggests that multiple variables influence the number of academic articles. In this study, we aimed to evaluate the relationship between the beginning of…
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Artikel Jurnal
Multimodal detection framework for financial fraud integrating LLMs and interpretable machine learning
This study aims to integrate large language models (LLMs) with interpretable machine learning methods to develop a multimodal data-driven framework for predicting corporate financial fraud, addressing the limitations of traditional approaches in long-text semantic parsing, model interpretability…
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Influencing factors and group differences in medical data sharing in clinical research scenarios
Explore the factors affecting medical data sharing in clinical research scenarios from the user’s perspective, reveal the differences between different user groups, and deepen the understanding of medical data sharing mechanisms.
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How research funding shapes academic outputs: Evidence from communication research paper characteristics and thematic trends in China
To explore how different types of research funding affect research papers, with implications for optimizing funding policies and promoting sustainable research development.
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Artikel Jurnal
Domestic brain circulation in China: Impact on publication, citation, collaboration and university prestige
This study investigates the impact of domestic mobility on Chinese scientists’ academic performance and explores the predictors influencing their chances of moving to more prestigious institutions.
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The economic value of open government data: Micro evidence from corporate investment
This research endeavors to investigate the impact of open government data on corporate investment, emphasizing the exploration of underlying mechanisms, heterogeneous effects, and implications for investment efficiency. Utilizing the implementation of government data open platforms as a…
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Artikel Jurnal
A paper mill detection model based on citation manipulation paradigm
In this paper, we develop a heterogeneous graph network using citation relations between papers and their basic information centered around the “Paper mills” papers under withdrawal observation, and we train graph neural network models and classifiers on these heterogeneous graphs to classify paper…