Purpose: Given the impact of information technologies, the research environment for humanities scholars is transforming into digital scholarship. This study presents a foundational investigation for developing digital scholarship (DS) research support services. It also proposes a plan for sustainable information services through examining the current status of DS in Korea, as well as accessing, processing, implementing, disseminating, and preserving interdisciplinary digital data. Methods: Qualitative interview data were collected from September 7 to 11, 2020. The inter-views were conducted with scholars at the research director level who had participated in the DS research project in Korea. Data were coded using Nvivo 14, and cross-analysis was performed among researchers to extract central nodes and derive service elements. Results: This study divided DS into five stages: research plan, research implementation, publishing results, dissemination of research results, and preservation and reuse. This paper also presents the library DS information services required for each stage. The characteristic features of the DS research cycle are the importance of collaboration, converting analog resources to data, data modeling and technical support for the analysis process, humanities data curation, drafting a research data management plan, and international collaboration. Conclusion: Libraries should develop services based on open science and data management plan policies. Examples include a DS project liaison service, data management, datafication, digital publication repositories, a digital preservation plan, and a web archiving service. Data sharing for humanities research resources made possible through international collaboration will contribute to the expansion of new digital culture research.
{"title":"Research information service development plan based on an analysis of the digital scholarship lifecycle experience of humanities scholars in Korea: a qualitative study","authors":"Jungyeoun Lee, Eunkyung Chung","doi":"10.6087/kcse.309","DOIUrl":"https://doi.org/10.6087/kcse.309","url":null,"abstract":"Purpose: Given the impact of information technologies, the research environment for humanities scholars is transforming into digital scholarship. This study presents a foundational investigation for developing digital scholarship (DS) research support services. It also proposes a plan for sustainable information services through examining the current status of DS in Korea, as well as accessing, processing, implementing, disseminating, and preserving interdisciplinary digital data. Methods: Qualitative interview data were collected from September 7 to 11, 2020. The inter-views were conducted with scholars at the research director level who had participated in the DS research project in Korea. Data were coded using Nvivo 14, and cross-analysis was performed among researchers to extract central nodes and derive service elements. Results: This study divided DS into five stages: research plan, research implementation, publishing results, dissemination of research results, and preservation and reuse. This paper also presents the library DS information services required for each stage. The characteristic features of the DS research cycle are the importance of collaboration, converting analog resources to data, data modeling and technical support for the analysis process, humanities data curation, drafting a research data management plan, and international collaboration. Conclusion: Libraries should develop services based on open science and data management plan policies. Examples include a DS project liaison service, data management, datafication, digital publication repositories, a digital preservation plan, and a web archiving service. Data sharing for humanities research resources made possible through international collaboration will contribute to the expansion of new digital culture research.","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47497400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The AMA Manual of Style, 11th edition: the ultimate guide to scholarly publishing in the digital age","authors":"Yoon Joo Seo","doi":"10.6087/kcse.307","DOIUrl":"https://doi.org/10.6087/kcse.307","url":null,"abstract":"","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45849604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Q. Vuong, Viet-Phuong La, Minh-Hoang Nguyen, Ruining Jin, T. Le
Machine-based automation has long been a key factor in the modern era. However, lately, many people have been shocked by artificial intelligence (AI) applications, such as ChatGPT (OpenAI), that can perform tasks previously thought to be human-exclusive. With recent advances in natural language processing (NLP) technologies, AI can generate written content that is similar to human-made products, and this ability has a variety of applications. As the technology of large language models continues to progress by making use of colossal reservoirs of digital information, AI is becoming more capable of recognizing patterns and associations within given contexts, making it especially helpful in assisting with various professional writing tasks [1]. In this paper, we will discuss several key points regarding the current state and future of AI in academia. Furthermore, since in certain aspects, acts can speak louder than words, we will also present some of our hands-on experiences of working with ChatGPT.
{"title":"Are we at the start of the artificial intelligence era in academic publishing?","authors":"Q. Vuong, Viet-Phuong La, Minh-Hoang Nguyen, Ruining Jin, T. Le","doi":"10.6087/kcse.310","DOIUrl":"https://doi.org/10.6087/kcse.310","url":null,"abstract":"Machine-based automation has long been a key factor in the modern era. However, lately, many people have been shocked by artificial intelligence (AI) applications, such as ChatGPT (OpenAI), that can perform tasks previously thought to be human-exclusive. With recent advances in natural language processing (NLP) technologies, AI can generate written content that is similar to human-made products, and this ability has a variety of applications. As the technology of large language models continues to progress by making use of colossal reservoirs of digital information, AI is becoming more capable of recognizing patterns and associations within given contexts, making it especially helpful in assisting with various professional writing tasks [1]. In this paper, we will discuss several key points regarding the current state and future of AI in academia. Furthermore, since in certain aspects, acts can speak louder than words, we will also present some of our hands-on experiences of working with ChatGPT.","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42263507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Open access (OA) mirror journals have been launched by Elsevier as an alternative or supplement to original non-OA journals [1]. These OA mirror journals have the same title, aims and scope, editorial board, and peer-review process as their parent journal, and are distinguished by an “X” after the name. However, because the OA mirror journals have their own ISSNs (International Standard Serial Numbers), they are completely separate journals, which does not fit with Harrison’s [1] assertion that by publishing OA mirror journals, Elsevier is responding to authors’ need to publish in OA journals while simultaneously not wanting to sacrifice their association with the leading journal brands in their field. Asai [2] compared 22 pairs of Elsevier’s OA mirror journals with their parent journals and found that the parent journals were more preferred by authors. This essay analyses Elsevier’s OA mirror journals as an experiment of one publisher, which has a dominant position in the scientific publishing market. Elsevier has set an ambitious price level for article processing charges (APCs) in these OA mirror journals. The evolution of the price level for mirror journals, compared with the evolution of the price level for APCs for other Elsevier’s journals, is used to assess the success of Elsevier’s experiment.
{"title":"Open access mirror journals: an experiment in brand loyalty","authors":"L. Ansorge","doi":"10.6087/kcse.308","DOIUrl":"https://doi.org/10.6087/kcse.308","url":null,"abstract":"Open access (OA) mirror journals have been launched by Elsevier as an alternative or supplement to original non-OA journals [1]. These OA mirror journals have the same title, aims and scope, editorial board, and peer-review process as their parent journal, and are distinguished by an “X” after the name. However, because the OA mirror journals have their own ISSNs (International Standard Serial Numbers), they are completely separate journals, which does not fit with Harrison’s [1] assertion that by publishing OA mirror journals, Elsevier is responding to authors’ need to publish in OA journals while simultaneously not wanting to sacrifice their association with the leading journal brands in their field. Asai [2] compared 22 pairs of Elsevier’s OA mirror journals with their parent journals and found that the parent journals were more preferred by authors. This essay analyses Elsevier’s OA mirror journals as an experiment of one publisher, which has a dominant position in the scientific publishing market. Elsevier has set an ambitious price level for article processing charges (APCs) in these OA mirror journals. The evolution of the price level for mirror journals, compared with the evolution of the price level for APCs for other Elsevier’s journals, is used to assess the success of Elsevier’s experiment.","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48829262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Systematic reviews and meta-analyses have become central in many research fields, particularly medicine. They offer the highest level of evidence in evidence-based medicine and support the development and revision of clinical practice guidelines, which offer recommendations for clinicians caring for patients with specific diseases and conditions. This review summarizes the concepts of systematic reviews and meta-analyses and provides guidance on reviewing and assessing such papers. A systematic review refers to a review of a research question that uses explicit and systematic methods to identify, select, and critically appraise relevant research. In contrast, a meta-analysis is a quantitative statistical analysis that combines individual results on the same research question to estimate the common or mean effect. Conducting a meta-analysis involves defining a research topic, selecting a study design, searching literature in electronic databases, selecting relevant studies, and conducting the analysis. One can assess the findings of a meta-analysis by interpreting a forest plot and a funnel plot and by examining heterogeneity. When reviewing systematic reviews and meta-analyses, several essential points must be considered, including the originality and significance of the work, the comprehensiveness of the database search, the selection of studies based on inclusion and exclusion criteria, subgroup analyses by various factors, and the interpretation of the results based on the levels of evidence. This review will provide readers with helpful guidance to help them read, understand, and evaluate these articles.
{"title":"How to review and assess a systematic review and meta-analysis article","authors":"Seung-Kwon Myung","doi":"10.6087/kcse.306","DOIUrl":"https://doi.org/10.6087/kcse.306","url":null,"abstract":"Systematic reviews and meta-analyses have become central in many research fields, particularly medicine. They offer the highest level of evidence in evidence-based medicine and support the development and revision of clinical practice guidelines, which offer recommendations for clinicians caring for patients with specific diseases and conditions. This review summarizes the concepts of systematic reviews and meta-analyses and provides guidance on reviewing and assessing such papers. A systematic review refers to a review of a research question that uses explicit and systematic methods to identify, select, and critically appraise relevant research. In contrast, a meta-analysis is a quantitative statistical analysis that combines individual results on the same research question to estimate the common or mean effect. Conducting a meta-analysis involves defining a research topic, selecting a study design, searching literature in electronic databases, selecting relevant studies, and conducting the analysis. One can assess the findings of a meta-analysis by interpreting a forest plot and a funnel plot and by examining heterogeneity. When reviewing systematic reviews and meta-analyses, several essential points must be considered, including the originality and significance of the work, the comprehensiveness of the database search, the selection of studies based on inclusion and exclusion criteria, subgroup analyses by various factors, and the interpretation of the results based on the levels of evidence. This review will provide readers with helpful guidance to help them read, understand, and evaluate these articles.","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136081262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The specialized literature abounds in recommendations about the most desirable technical ways of answering reviewers’ comments on a submitted manuscript. However, not all publications mention authors’ and/or reviewers’ feelings or reactions about what they may read or write in their respective reports, and even fewer publications tackle openly what may or may not be said in a set of answers to a reviewer’s comments. In answering reviewers’ comments, authors are often attentive to the technical or rational aspects of the task but might forget some of its relational aspects. In their answers, authors are expected to make every effort to abide by reviewers’ suggestions, including discussing major criticisms, editing the illustrations, or implementing minor corrections; abstain from questioning a reviewer’s competence or willingness to write a good review, including full and attentive reading and drafting useful comments; clearly separate their answers to each reviewer; avoid skipping, merging, or reordering review-ers’ comments; and, finally, specify the changes made. Authors are advised to call on facts, logic, and some diplomacy, but never on artifice, concealment, or flattery. Failing to do so erodes the trust between authors and reviewers, whereas integrity is expected and highly valued. The guiding principle should always be honesty.
{"title":"What to tell and never tell a reviewer","authors":"J. Iwaz","doi":"10.6087/kcse.305","DOIUrl":"https://doi.org/10.6087/kcse.305","url":null,"abstract":"The specialized literature abounds in recommendations about the most desirable technical ways of answering reviewers’ comments on a submitted manuscript. However, not all publications mention authors’ and/or reviewers’ feelings or reactions about what they may read or write in their respective reports, and even fewer publications tackle openly what may or may not be said in a set of answers to a reviewer’s comments. In answering reviewers’ comments, authors are often attentive to the technical or rational aspects of the task but might forget some of its relational aspects. In their answers, authors are expected to make every effort to abide by reviewers’ suggestions, including discussing major criticisms, editing the illustrations, or implementing minor corrections; abstain from questioning a reviewer’s competence or willingness to write a good review, including full and attentive reading and drafting useful comments; clearly separate their answers to each reviewer; avoid skipping, merging, or reordering review-ers’ comments; and, finally, specify the changes made. Authors are advised to call on facts, logic, and some diplomacy, but never on artifice, concealment, or flattery. Failing to do so erodes the trust between authors and reviewers, whereas integrity is expected and highly valued. The guiding principle should always be honesty.","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46772877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Riya Thomas, Uttkarsha Bhosale, Kriti Shukla, Anupama Kapadia
Purpose: This study was conducted to understand the perceptions and awareness of artificial intelligence (AI) in the academic publishing landscape.Methods: We conducted a global survey entitled “Role and impact of AI on the future of academic publishing” to understand the impact of the AI wave in the scholarly publishing domain. This English-language survey was open to all researchers, authors, editors, publishers, and other stakeholders in the scholarly community. Conducted between August and October 2021, the survey received responses from around 212 universities across 54 countries.Results: Out of 365 respondents, about 93% belonged to the age groups of 18–34 and 35–54 years. While 50% of the respondents selected plagiarism detection as the most widely known AI-based application, image recognition (42%), data analytics (40%), and language enhancement (39%) were some other known applications of AI. The respondents also expressed the opinion that the academic publishing landscape will significantly benefit from AI. However, the major challenges restraining the large-scale adoption of AI, as expressed by 93% of the respondents, were limited knowledge and expertise, as well as difficulties in integrating AI-based solutions into existing IT infrastructure.Conclusion: The survey responses reflected the necessity of AI in research and publishing. This study suggests possible ways to support a smooth transition. This can be best achieved by educating and creating awareness to ease possible fears and hesitation, and to actualize the promising benefits of AI.
{"title":"Impact and perceived value of the revolutionary advent of artificial intelligence in research and publishing among researchers: a survey-based descriptive study","authors":"Riya Thomas, Uttkarsha Bhosale, Kriti Shukla, Anupama Kapadia","doi":"10.6087/kcse.294","DOIUrl":"https://doi.org/10.6087/kcse.294","url":null,"abstract":"Purpose: This study was conducted to understand the perceptions and awareness of artificial intelligence (AI) in the academic publishing landscape.Methods: We conducted a global survey entitled “Role and impact of AI on the future of academic publishing” to understand the impact of the AI wave in the scholarly publishing domain. This English-language survey was open to all researchers, authors, editors, publishers, and other stakeholders in the scholarly community. Conducted between August and October 2021, the survey received responses from around 212 universities across 54 countries.Results: Out of 365 respondents, about 93% belonged to the age groups of 18–34 and 35–54 years. While 50% of the respondents selected plagiarism detection as the most widely known AI-based application, image recognition (42%), data analytics (40%), and language enhancement (39%) were some other known applications of AI. The respondents also expressed the opinion that the academic publishing landscape will significantly benefit from AI. However, the major challenges restraining the large-scale adoption of AI, as expressed by 93% of the respondents, were limited knowledge and expertise, as well as difficulties in integrating AI-based solutions into existing IT infrastructure.Conclusion: The survey responses reflected the necessity of AI in research and publishing. This study suggests possible ways to support a smooth transition. This can be best achieved by educating and creating awareness to ease possible fears and hesitation, and to actualize the promising benefits of AI.","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46686179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Emergence of the metaverse and ChatGPT in journal publishing after the COVID-19 pandemic","authors":"Sun Huh","doi":"10.6087/kcse.290","DOIUrl":"https://doi.org/10.6087/kcse.290","url":null,"abstract":"","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45306480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Meeting report on the Ninth International Congress on Peer Review and Scientific Publication","authors":"Young Yoo","doi":"10.6087/kcse.303","DOIUrl":"https://doi.org/10.6087/kcse.303","url":null,"abstract":"","PeriodicalId":43802,"journal":{"name":"Science Editing","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44150205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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