Frontiers in research metrics and analytics最新文献

{"title":"Researching the performative interface in Rapa Nui: bridging Indigenous knowledges, colonial histories and contemporary performances.","authors":"Moira Fortin Cornejo","doi":"10.3389/frma.2025.1541522","DOIUrl":"10.3389/frma.2025.1541522","url":null,"abstract":"<p><p>My research focuses on the performing arts in Rapa Nui. I am interested in performances as ways of navigating and negotiating the complex intersections between traditional/Indigenous and contemporary/Western cultural identities. As a non-Indigenous researcher who has collaborated extensively with the Rapa Nui community, I have had to navigate the interface, learning about and engaging in diverse knowledge systems and methods. The idea of engaging with both Western and Indigenous epistemologies, reflects my belief that both bodies of work can complement one another, and reflects my desire to look at research questions from a range of different angles and perspectives, welcoming and accepting the differences and similarities between worldviews, enriching the possibilities for dialogue between cultures. My research ethos consciously focuses on the positives of cultural dialogue, with a desire to better understand and support intercultural theater practices in Rapa Nui. In my research I have utilized open-ended interviews, framed by Talanoa which is an Indigenous Pacific research methodology which involves deep, open ended discussions and listening, valuing and learning from what is shared in these dialogues and prioritizing relationships between people over rigid, predetermined research agendas. My interactions with the Rapa Nui communities have explored their perceptions of what constitutes \"traditional\" and contemporary theater/performance practices. The genealogy and influence that \"tradition\", as a colonial term, has had over Rapa Nui performing arts over time and space are explored in this article. Colonial histories have effected how contemporary performing arts have been articulated, conceptualized, produced and taught in twenty first century Rapa Nui.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1541522"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968658/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143797243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why is it important to implement meta-research in universities and institutes with medical research activities?","authors":"Ivan David Lozada-Martinez, Dionicio Neira-Rodado, Darly Martinez-Guevara, Hary Salome Cruz-Soto, Maria Paula Sanchez-Echeverry, Yamil Liscano","doi":"10.3389/frma.2025.1497280","DOIUrl":"10.3389/frma.2025.1497280","url":null,"abstract":"<p><p>In recent years, there has been a growing concern over questionable practices and a lack of rigor in scientific activities, particularly in health and medical sciences. Universities and research institutes are key players in the development of science, technology, and innovation. Academic institutions, whose primary mission is to generate and disseminate knowledge, bear the responsibility in many parts of the world to act as consultants and guardians of scientific integrity in health research. Then, universities and research institutes must act as guardians of the research and technological development process, utilizing methodological and operational evaluation tools to validate the rigor and quality of medical research. Meta-research is defined as the research of research itself. Some of the most important specific objectives of meta-research include the assessment of research relevance, the evaluation of evidence validity, and the exploration of scientific integrity. A significant portion of evidence in the medical and health sciences literature has been found to be redundant, misleading, or inconsistent. Although this issue is of great importance in global health, discussions about practical and tangible solutions remain fragmented and limited. The aim of this manuscript is to highlight the significance of employing meta-research within universities and research institutes as a tool to monitor scientific rigor and promote responsible practices in medical research.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1497280"},"PeriodicalIF":0.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143775213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometrics effects of a new paper level classification.","authors":"Marcos Peña-Rocha, Rocío Gómez-Crisóstomo, Vicente P Guerrero-Bote, Félix de Moya-Anegón","doi":"10.3389/frma.2025.1531758","DOIUrl":"10.3389/frma.2025.1531758","url":null,"abstract":"<p><p>This study presents a comparative analysis between two scientific document classification systems. The first system employs the Scopus journal-based assignment method, adapted to a fractional model, while the second system uses an item-by-item system based on reclassified references according to the origin of the citers. The study's results are divided into three different sections: the first involves comparisons at the Scopus area level, the second examines comparisons at the category level, and the third tests various bibliometric indicators to identify the variations between the two systems. Highlighting the characteristics of the paper level system, it offers a reduction in the number of categories to which each document is assigned, achieving higher values of single-category assignment compared to the All Science Journal Classification (ASJC). When reclassifying areas and categories, the paper level system tends to accentuate differences at the extreme values, increasing the size of the largest categories and reducing that of the smallest ones. Moreover, the paper-by-paper system provides more homogeneous distributions in normalised impacts and adjusts values related to excellence more uniformly.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1531758"},"PeriodicalIF":0.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11924407/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Network analysis of social media texts.","authors":"Ke Jiang, Weiai Wayne Xu, James Danowski","doi":"10.3389/frma.2025.1558798","DOIUrl":"https://doi.org/10.3389/frma.2025.1558798","url":null,"abstract":"","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1558798"},"PeriodicalIF":0.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922840/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting implicit concept embeddings for singular relationship discovery replication of closed literature-based discovery.","authors":"Clint Cuffy, Bridget T McInnes","doi":"10.3389/frma.2025.1509502","DOIUrl":"10.3389/frma.2025.1509502","url":null,"abstract":"<p><strong>Objective: </strong>Literature-based Discovery (LBD) identifies new knowledge by leveraging existing literature. It exploits interconnecting implicit relationships to build bridges between isolated sets of non-interacting literatures. It has been used to facilitate drug repurposing, new drug discovery, and study adverse event reactions. Within the last decade, LBD systems have transitioned from using statistical methods to exploring deep learning (DL) to analyze semantic spaces between non-interacting literatures. Recent works explore knowledge graphs (KG) to represent explicit relationships. These works envision LBD as a knowledge graph completion (KGC) task and use DL to generate implicit relationships. However, these systems require the researcher to have domain-expert knowledge when submitting relevant queries for novel hypothesis discovery.</p><p><strong>Methods: </strong>Our method explores a novel approach to identify all implicit hypotheses given the researcher's search query and expedites the knowledge discovery process. We revise the KGC task as the task of predicting interconnecting vertex embeddings within the graph. We train our model using a similarity learning objective and compare our model's predictions against all known vertices within the graph to determine the likelihood of an implicit relationship (i.e., connecting edge). We also explore three approaches to represent edge connections between vertices within the KG: average, concatenation, and Hadamard. Lastly, we explore an approach to induce inductive biases and expedite model convergence (i.e., input representation scaling).</p><p><strong>Results: </strong>We evaluate our method by replicating five known discoveries within the Hallmark of Cancer (HOC) datasets and compare our method to two existing works. Our results show no significant difference in reported ranks and model convergence rate when comparing scaling our input representations and not using this method. Comparing our method to previous works, we found our method achieves optimal performance on two of five datasets and achieves comparable performance on the remaining datasets. We further analyze our results using statistical significance testing to demonstrate the efficacy of our method.</p><p><strong>Conclusion: </strong>We found our similarity-based learning objective predicts linking vertex embeddings for single relationship closed discovery replication. Our method also provides a ranked list of linking vertices between a set of inputs. This approach reduces researcher burden and allows further exploration of generated hypotheses.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1509502"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920161/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate of Accountability, Respect, and Ethics Survey (CARES): development and validation of an organizational climate survey.","authors":"Brian C Martinson, Jarvis Smallfield, Vicki J Magley, Carol R Thrush, C K Gunsalus","doi":"10.3389/frma.2025.1516726","DOIUrl":"10.3389/frma.2025.1516726","url":null,"abstract":"<p><strong>Background: </strong>This research describes the development and validation of the CARES Climate Survey, a 22-item measure designed to assess interpersonal dimensions of work-unit climates. Dimensions of work-unit climates are identified through work-unit member perceptions and include civility, interpersonal accountability, conflict resolution, and institutional harassment responsiveness.</p><p><strong>Methods: </strong>Two samples (<i>N</i> = 1,384; <i>N</i> = 868) of academic researchers, including one from the North American membership of the American Geophysical Union (AGU), and one from a large research-intensive university, responded to the CARES and additional measures via an online survey.</p><p><strong>Results: </strong>We demonstrate content validity of the CARES measure and confirm structural validity through exploratory and confirmatory factor analyses which yielded four dimensions of interpersonal climate. In addition, we confirm the CARES internal reliability, construct validity, and excellent sub-group invariance.</p><p><strong>Conclusions: </strong>The CARES is a brief, psychometrically sound instrument that can be used by researchers, institutional leaders, and other practitioners to assess interpersonal climates in organizational work-units.</p><p><strong>Originality/value: </strong>This is the first study to develop and validate such a measure of interpersonal climates specifically in research-intensive organizations, using rigorous psychometric methods, grounded in both theory and prior research on work-unit climates.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1516726"},"PeriodicalIF":0.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11894455/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143607440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A worldwide itinerary of research ethics in science for a better social responsibility and justice: a bibliometric analysis and review.","authors":"Ingrid Sonya Mawussi Adjovi","doi":"10.3389/frma.2025.1504937","DOIUrl":"10.3389/frma.2025.1504937","url":null,"abstract":"<p><p>This study provides a comprehensive overview of research ethics in science using an approach that combine bibliometric analysis and systematic review. The importance of ethical conduct in scientific research to maintain integrity, credibility, and societal relevance has been highlighted. The findings revealed a growing awareness of ethical issues, as evidenced by the development of numerous guidelines, codes of conduct, and oversight institutions. However, significant challenges persist, including the lack of standardized approaches for detecting misconduct, limited understanding of the factors contributing to unethical behavior, and unclear definitions of ethical violations. To address these issues, this study recommends promoting transparency and data sharing, enhancing education, and training programs, establishing robust mechanisms to identify and address misconduct, and encouraging collaborative research and open science practices. This study emphasizes the need for a collaborative approach to restore public confidence in science, protect its positive impact, and effectively address global challenges, while upholding the principles of social responsibility and justice. This comprehensive approach is crucial for maintaining research credibility, conserving resources, and safeguarding both the research participants and the public.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"10 ","pages":"1504937"},"PeriodicalIF":0.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11850331/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic value of HPC experience for new STEM professionals: Insights from STEM hiring managers.","authors":"Winona Snapp-Childs, Claudia M Costa, Daniel Olds, Addison Snell, Julie A Wernert, Craig A Stewart","doi":"10.3389/frma.2024.1462329","DOIUrl":"10.3389/frma.2024.1462329","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this article is to investigate particular aspects of the STEM job market in the US. In particular, we ask: could the possession of high performance computing (HPC) skills enhance the chances of a person getting a job and/or increase starting salaries for people receiving an undergraduate or graduate degree and entering the technical workforce (rather than academia)? We also estimate the value to the US economy of practical experience offered to US students through training about HPC and the opportunity to use HPC systems funded by the National Science Foundation (NSF) and accessible nationally.</p><p><strong>Methods: </strong>Interviews and surveys of employers of graduates in STEM fields were used to gauge demand for STEM graduates with practical HPC experience and the salary increase that can be associated with the possession of such skills. We used data from the XSEDE project to determine how many undergraduate and graduate students it enabled to acquire practical proficiency with HPC.</p><p><strong>Results: </strong>People with such skills who had completed an undergraduate or graduate degree received an initial median hiring salary of approximately 7%-15% more than those with the same degrees who did not possess such skills. XSEDE added approximately $10 million or more per year to the US economy through the practical educational opportunities it offered.</p><p><strong>Discussion: </strong>Practical hands-on experience provided by the US federal government, as well as many universities and colleges in the US, holds value for students as they enter the workforce.</p><p><strong>Conclusion: </strong>Practical training in HPC during the course of undergraduate and graduate programs has the potential to produce positive individual labor market outcomes (i.e., salary boosts, signing bonuses) as well as to help address the shortage of STEM workers in the private sector of the US.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1462329"},"PeriodicalIF":0.0,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11794812/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143257507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The ethics of artificial intelligence use in university libraries in Zimbabwe.","authors":"Stephen Tsekea, Edward Mandoga","doi":"10.3389/frma.2024.1522423","DOIUrl":"10.3389/frma.2024.1522423","url":null,"abstract":"<p><strong>Introduction: </strong>The emergence of artificial intelligence (AI) has revolutionised higher education teaching and learning. AI has the power to analyse large amounts of data and make intelligent predictions thus changing the whole teaching and learning processes. However, such a rise has led to institutions questioning the morality of these applications. The changes have left librarians and educators worried about the major ethical questions surrounding privacy, equality of information, protection of intellectual property, cheating, misinformation and job security. Libraries have always been concerned about ethics and many go out of their way to make sure communities are educated about the ethical question. However, the emergence of artificial intelligence has caught them unaware.</p><p><strong>Methods: </strong>This research investigates the preparedness of higher education librarians to support the ethical use of information within the higher and tertiary education fraternity. A qualitative approach was used for this study. Interviews were done with thirty purposively selected librarians and academics from universities in Zimbabwe.</p><p><strong>Results: </strong>Findings indicated that many university libraries in Zimbabwe are still at the adoption stage of artificial intelligence. It was also found that institutions and libraries are not yet prepared for AI use and are still crafting policies on the use of AI.</p><p><strong>Discussion: </strong>Libraries seem prepared to adopt AI. They are also prepared to offer training on how to protect intellectual property but have serious challenges in issues of transparency, data security, plagiarism detection and concerns about job losses. However, with no major ethical policies having been crafted on AI use, it becomes challenging for libraries to full adopt its usage.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1522423"},"PeriodicalIF":0.0,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patent research in academic literature. Landscape and trends with a focus on patent analytics.","authors":"Cristian Mejia, Yuya Kajikawa","doi":"10.3389/frma.2024.1484685","DOIUrl":"10.3389/frma.2024.1484685","url":null,"abstract":"<p><p>Patent analytics is crucial for understanding innovation dynamics and technological trends. However, a comprehensive overview of this rapidly evolving field is lacking. This study presents a data-driven analysis of patent research, employing citation network analysis to categorize and examine research clusters. Here, we show that patent research is characterized by interconnected themes spanning fundamental patent systems, indicator development, methodological advancements, intellectual property management practices, and diverse applications. We reveal central research areas in patent strategies, technological impact, and patent citation research while identifying emerging focuses on environmental sustainability and corporate innovation. The integration of advanced analytical techniques, including AI and machine learning, is observed across various domains. This study provides insights for researchers and practitioners, highlighting opportunities for cross-disciplinary collaboration and future research directions.</p>","PeriodicalId":73104,"journal":{"name":"Frontiers in research metrics and analytics","volume":"9 ","pages":"1484685"},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11751822/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143025524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}