Scite

Brody, Stacy

doi:10.5195/jmla.2021.1331

Cited by 6 publications

(6 citation statements)

References 12 publications

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“…Scite is an online tool that utilizes text mining and artificial intelligence (AI) algorithms to perform article citation counts [46]. It can be employed to contrast citation statements, including contradictory and discrepant claims [45,46]. Among its various functionalities, Scite verifies whether a particular article has been retracted or disputed [46].…”

Section: Eligibility Criteriamentioning

confidence: 99%

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Factors influencing the work of researchers in Scientific Initiation: A systematic review protocol

Costa,

Fernandes,

Memon

et al. 2024

PLoS ONE

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Introduction Scientific Initiation (SI) is an educational activity that allows students to begin their scientific training and research under the guidance of an experienced researcher. While several studies have examined students’ perceptions of SI, research on the perspective of researchers working in this field is currently lacking. Thus, this study’s aim is to describe the protocol design for conducting a systematic review. At the same time, the review aims also to identify factors influencing the work of researchers in SI and explore the motivations leading researchers to engage in research projects within institutions and their respective impacts. Method and analyses Literature search will be done using the bibliographic databases, including Academic Search Premier, APA PsycNet, CINAHL Plus, ERIC, SocINDEX, Scopus, and Web of Science. The search strategy was guided by the PICo framework (Population, phenomenon of Interest, and Context). The preparation and development of this protocol following guidelines were employed: Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015), Peer Review of Electronic Search Strategies 2015 (PRESS 2015), and PRISMA-Search (PRISMA-S). Original, peer-reviewed articles that examine the factors related to the work of researchers in SI will be included without any language or publication date restrictions. Qualitative, quantitative, and mixed-methods studies will be screened by two independent researchers. The included studies will be analyzed to identify factors, policies, and their impacts obtained analytically. Findings will be objectively categorized and synthetically represented through figures, diagrams, and graphic models. The risk of bias will be assessed using the Critical Appraisal Skills Program (CASP) and the Downs and Black checklists. A third senior reviewer will resolve any discrepancies. Discussion We aim to understand the factors that drive researchers to engage in SI research through the dissemination of the findings of this systematic review. This may aid the development of institutional strategies and actions that can support the enhancement of SI programs and encourage greater researcher participation.

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Section: Eligibility Criteriamentioning

confidence: 99%

“…It can be employed to contrast citation statements, including contradictory and discrepant claims [45,46]. Among its various functionalities, Scite verifies whether a particular article has been retracted or disputed [46].…”

Section: Eligibility Criteriamentioning

confidence: 99%

Factors influencing the work of researchers in Scientific Initiation: A systematic review protocol

Costa,

Fernandes,

Memon

et al. 2024

PLoS ONE

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“…This reduces the workload of literature reviews to some extent, allowing researchers to focus more on innovative studies. [31]…”

Section: Current State and Applications Of Ai Technologymentioning

confidence: 99%

“…These systems can automatically generate literature reviews, research reports, and even entire academic papers. [31] The misuse of this technology could lead to a proliferation of pseudo-original content within the scientific community. This not only violates the copyright of the original authors but also potentially harms the authenticity and originality of scientific work.…”

Section: Potential Risks Of Academic Misconduct In Researchmentioning

confidence: 99%

Research integrity in the era of artificial intelligence: Challenges and responses

Chen,

Yang

et al. 2024

Medicine

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The application of artificial intelligence (AI) technologies in scientific research has significantly enhanced efficiency and accuracy but also introduced new forms of academic misconduct, such as data fabrication and text plagiarism using AI algorithms. These practices jeopardize research integrity and can mislead scientific directions. This study addresses these challenges, underscoring the need for the academic community to strengthen ethical norms, enhance researcher qualifications, and establish rigorous review mechanisms. To ensure responsible and transparent research processes, we recommend the following specific key actions: Development and enforcement of comprehensive AI research integrity guidelines that include clear protocols for AI use in data analysis and publication, ensuring transparency and accountability in AI-assisted research. Implementation of mandatory AI ethics and integrity training for researchers, aimed at fostering an in-depth understanding of potential AI misuses and promoting ethical research practices. Establishment of international collaboration frameworks to facilitate the exchange of best practices and development of unified ethical standards for AI in research. Protecting research integrity is paramount for maintaining public trust in science, making these recommendations urgent for the scientific community consideration and action.

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“…AI is heavily used in healthcare technologies and clinical applications (CADTH 2018) and a topic of interest in knowledge syntheses canadian journal of academic librarianship revue canadienne de bibliothéconomie universitaire where health sciences librarians are developing the search strategies (Oh et al 2021;Subramanian et al 2021;Antel et al 2022). However, the predominant discussion of tools within health sciences and medical libraries literature is in the form of product and resource reviews, which represent approximately 37% of all Health Sciences articles tagged for inclusion (Granikov 2016;Chambers 2019;Brody 2021;Fricke 2018;McGowan 2022;Kahili-Heede and Hillgren 2021;Minion et al 2021). Many of these tools are designed to reduce the time burden experienced by users during the systematic review screening process or as an enhanced search engine using customized algorithms, machine learning, and natural language processing.…”

Section: Health Sciencesmentioning

confidence: 99%

Artificial Intelligence in Subject-Specific Library Work

2023

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The general implications of AI for libraries are much discussed in library literature. But while this discussion takes place at the library-wide level, there are also important implications for subject librarians due to the specific uses of AI in different professions and areas of study. These are often overlooked as these specializations tend to publish in subject-specific journals. This article aims to address this research gap by providing a comparison and thematic analysis of this literature. Subject-specific library journals in the areas of law, health sciences, business, and humanities and social sciences were searched to identify relevant journal articles that discussed AI. 131 articles were identified and tagged with at least one category that reflected the nature of the discussion around AI. The following analysis showed that literature related to law had the greatest number of articles by far, though the publishing activity in all disciplines has increased significantly in the last 10 years. This article explores these trends to gain a more comprehensive understanding of the implications for subject-specific library work.

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Abstract: -

Cited by 6 publications

References 12 publications

Factors influencing the work of researchers in Scientific Initiation: A systematic review protocol

Factors influencing the work of researchers in Scientific Initiation: A systematic review protocol

Research integrity in the era of artificial intelligence: Challenges and responses

Artificial Intelligence in Subject-Specific Library Work

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