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      Multiple Publications From the Same Dataset: Is It Acceptable?

      editorial
      1 , 2 ,
      Balkan Medical Journal
      Trakya University School of Medicine

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          Abstract

          In recent years, the “publish or perish” approach has forced the academic environment and academics to give importance to quantity rather than quality. The rapid increase in the number of academic journals and publications in today's world brings about an increase in publication ethics violations. One of the consequences of this trend has been the production of multiple publications from the same dataset. This issue cannot be discussed without mentioning research integrity, transparency, and ethical violation. However, there is no consensus on whether producing more than one publication from the same dataset is an ethical violation. This situation may be a violation of ethics and could prevent the publication of many articles that would contribute to the scientific literature, due to the fear of ethical violations. In this editorial, we discuss the issues and related definitions to consider when generating multiple publications from the same dataset. It would make sense to start with the definitions of 2 important terms related to this topic; Duplicate (Redundant) and salami publications. The International Committee of Medical Journal Editors (ICMJE) defines a duplicate publication as “the publication of a paper that overlaps substantially with one already published, without clear, visible reference to the previous publication.” 1 Salami slicing or a salami publication involves segmenting a large study into 2 or more publications. These segments are referred to as “slices” of a study. 2,3 The simplest example for slicing would be the publication of the results of a research based on gender and age group. Salami slicing is considered an ethical violation in scientific publishing and may result in significant sanctions. However, it may be planned to produce more than one publication if a dataset contains multiple sub-datasets, or if the project outputs are too large to be reported in a single publication, or if the research has a secondary finding that was not discussed in the first article. 4 From a large-scale study, one article containing the initial outputs and one or more other articles reporting the secondary analysis may be produced. In this case, the authors cannot be expected to produce only one article from all the data obtained from a single study. In fact, not sharing scientifically important research results with the scientific world due to the fear of salami slicing may pose an ethical problem. 5 For example, the medical world needed all kinds of information about the COVID-19 pandemic that has shaken the world recently. All data coming out of the city of Wuhan, where the epidemic started, were important for humanity. The scientific world needed data on symptomatology, transmission, treatment methods, and in-hospital and short-term prognosis from the same patient records. Arab-Zozani et al., in their analysis, noted that in just 2.5 months, more than 3000 articles about COVID-19 were accepted by journals. 6 Refraining from producing other articles because an article had already been produced from these data would have blocked access to information that was very important for humanity. Therefore, researchers may produce more than one publication from the same dataset which they consider important for science and which would not disrupt the integrity of the research. When you have to publish your data in more than one article, how can it be done without compromising the integrity of the research? In this case, it is important to know some points in order to avoid ethical violations. It is most important that the authors are transparent and clearly state the reasons for this to the editor of the relevant journal. In other words, authors should share their previous work with the editors transparently and state this situation in the article. Another important factor is to ensure that these manuscripts are unique. In order to ensure the uniqueness of your second paper from the same dataset, you should consider the criteria outlined in Table 1. 7 In addition to these 2 important points mentioned above, authors should pay attention to the following points in order to avoid bias in the editorial evaluation and peer-review process and to avoid ethical violation investigations after the article has been accepted. 1,5,7-10 The cover letter should clearly inform the editor that there is a previous article on the same subject. The full text of the previously published article should be forwarded to the editor, and if possible, other studies planned on this subject should also be mentioned. The cover letter should also inform the editor regarding the titles specified in Table 1, including the similarities/differences between the 2 articles. The previous study should be clearly stated in the article and the previous study should be referenced. While doing this, it would be more appropriate to indicate the previous publication in the text and the bibliography as “anonymous” until the peer-review process is over, to avoid influencing the peer-review process of the article. If the first and the main article belonging to the same database are in the submission process, if possible, it would be more appropriate not to send a second article to a journal before the evaluation process of the first article is completed. The author of the article should state why the second publication is needed, and what the new article adds to the previous article. All variables analyzed in the first publication should be included in the analyses to ensure consistency between articles. If a change has been made in an existing measurement or method in the previous article, the reason for this must be explained in the following study. The fact that authors do not prefer to be transparent increases the risks of encountering ethical violation issues. Today, with the development of similarity-scanning programs, it has become easier to reveal cases of scientific misconduct. On the other hand, if the study includes the criteria that we have tried to explain above, it would not be wrong to encourage the authors to publish more than one article using a single data set. The key issue, as the ICMJE points out, is the attitude of researchers toward transparency and research integrity.

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          Features and Limitations of LitCovid Hub for Quick Access to Literature About COVID-19

          To the Editor, In mid-December 2019, an outbreak of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which began in Wuhan, China, has spread throughout the country and COVID-19 was announced as a pandemic disease (1). Obtaining the right evidence in the shortest possible time has always been a concern for researchers, policymakers, and decision-makers, especially in times of crisis (2). From the very first days, researchers started to publish articles about COVID-19, and the number of articles increased daily. Also, various publications have devoted sections to the disease and tried to provide up-to-date information. Since searching databases require special skills, accessing the articles related to this diseases is not easy, and initiatives in this area can be essential in terms of obtaining accurate and timely information (3). One of the most interesting initiatives, which started in the early days, was the launch of a dedicated LitCovid hub in PubMed (available at https://www.ncbi.nlm.nih.gov/research/coronavirus/) to track and gather up-to-date information about 2019 novel coronavirus. The hub has unique features and covers almost a high percentage of articles published about COVID-19 (4). This hub is updated daily with newly published articles and includes the most comprehensive collection of international research papers so far on the new coronavirus disease, COVID-19. According to the authors, this hub has a more sophisticated search function than available resources and identifies about 35% more relevant articles compared to formal keyword-based searches for entries such as COVID-19, nCOV, 2019-nCoV, and other related search terms. Also, the articles available on this hub are categorized by several topics, including general information (general information and news), mechanism (symptoms, clinical characteristics, and findings from sequence and image analysis), transmission (characteristics and modes of COVID-19 transmission, such as human-to-human), treatment (treatment strategies, therapeutic procedures, and vaccine development), case reports (descriptions of specific patient cases), and epidemic forecasting (modeling and estimating the trend of COVID-19 spread) (4). We analyzed the publication activity concerned with COVID-19 in LitCovid hub from January 17 to April 05, 2020. Based on a search conducted on April 06, 2020, the total number of articles on this hub was 3011, which was much more than what databases such as Scopus and Web of Sciences (WoS) had in the same period. During this period, 1639 articles were searched in Scopus and 522 articles, in WoS, using conventional keywords. This suggests that more specific articles can be retrieved in this hub, according to the developers. Based on our search, most articles have been published on April 03, 2020 (9.33%) (Figure 1). Most of the published articles were related to China (30.68%), followed by the United States (3.15%) and Italy (3.12%). Most of the articles were published in BMJ (5.87%), Journal of Medical Virology (3.48%), and Lancet (3.12%). The largest number of published articles (21.32%) was in the treatment category (Table 1). An important feature of this hub is that it is proprietary and does not require an initial search to retrieve articles about COVID-19. Another important feature is that it is open source, in addition to being updated daily. This hub is also notable for features such as importing records in two ways, RIS and TSV formats, categorizing articles according to subject areas, and having a link for text and data mining, which researchers find useful (4). Of course, publishers like Nature have also categorized and published their publishers’ articles, but the comprehensiveness of this hub is much greater (5). Indeed, there are some limitations. For example, this hub is based on PubMed database, and articles in other journals that are not indexed in this database may not be traceable. Another limitation is the lack of a dedicated search feature for the content of this hub. It is suggested that these limitations be addressed in the near future and that more specific areas be added to this hub depending on the type of articles, because, over time, rapid access to studies such as clinical trials will be of utmost importance.
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            Salami-slicing and plagiarism: How should we respond?

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              Duplicate publication and 'salami slicing': ethical issues and practical solutions.

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                Author and article information

                Journal
                Balkan Med J
                Balkan Med J
                Balkan Medical Journal
                Trakya University School of Medicine
                2146-3123
                2146-3131
                September 2021
                01 September 2021
                : 38
                : 5
                : 263-264
                Affiliations
                [1 ]Department of Cardiology , Trakya University School of Medicine, Edirne, Turkey
                [2 ]Editor-in-Chief , Balkan Medical Journal Department of Radiation Oncology, Trakya University School of Medicine, Edirne, Turkey
                Author notes
                Corresponding author: Zafer Koçak, Editor-in-Chief, Balkan Medical Journal Department of Radiation Oncology, Trakya University School of Medicine, Edirne, Turkey, e-mail: zaferkocak12@ 123456gmail.com

                Available at www.balkanmedicaljournal.org

                ORCID iDs of the authors: S.A. 0000-0001-7112-3970; Z.K. 0000-0003-1918-7795.

                Cite this article as:Altay S, Koçak Z. Multiple publications from the same dataset: Is it acceptable? Balkan Med J. 2021;38(5):263-264.

                Copyright@Author(s) - Available online at http://balkanmedicaljournal.org/

                Article
                bmj-38-5-263
                10.5152/balkanmedj.2021.21008
                8880828
                34462256
                f74d66c5-7600-42cb-9e17-a737563e3e37
                © Copyright 2021 authors

                Content of this journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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