The flood of research output and increasing demands for peer reviewers have necessitated the intervention of artificial intelligence (AI) in scholarly publishing. Although human input is seen as essential for writing publications, the contribution of AI slowly and steadily moves ahead. AI may redefine the role of science communication experts in the future and transform the scholarly publishing industry into a technology-driven one. It can prospectively improve the quality of publishable content and identify errors in published content. In this article, we review various AI and other associated tools currently in use or development for a range of publishing obligations and functions that have brought about or can soon leverage much-demanded advances in scholarly communications. Several AI-assisted tools, with diverse scope and scale, have emerged in the scholarly market. AI algorithms develop summaries of scientific publications and convert them into plain-language texts, press statements, and news stories. Retrieval of accurate and sufficient information is prominent in evidence-based science publications. Semantic tools may empower transparent and proficient data extraction tactics. From detecting simple plagiarism errors to predicting the projected citation impact of an unpublished article, AI’s role in scholarly publishing is expected to be multidimensional. AI, natural language processing, and machine learning in scholarly publishing have arrived for writers, editors, authors, and publishers. They should leverage these technologies to enable the fast and accurate dissemination of scientific information to contribute to the betterment of humankind.
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Methods Among 79 data journals indexed in Web of Science, we selected four data journals where data papers accounted for more than 20% of the publication volume and whose corresponding authors belonged to South Korean research institutes. A qualitative analysis was conducted of the subjective experiences of seven corresponding authors who agreed to participate in interviews. To analyze interview transcriptions, clusters were created by restructuring the theme nodes using Nvivo 12.
Results The most important element of data journals to researchers was their usefulness for obtaining credit for research performance. Since the data in repositories linked to data papers are screened using journals’ review processes, the validity, accuracy, reusability, and reliability of data are ensured. In addition, data journals provide a basis for data sharing using repositories and data-centered follow-up research using citations and offer detailed descriptions of data.
Conclusion Data journals play a leading role in data-centered research. Data papers are recognized as research achievements through citations in the same way as research papers published in conventional journals, but there was also a perception that it is difficult to attain a similar level of academic recognition with data papers as with research papers. However, researchers highly valued the usefulness of data journals, and data journals should thus be developed into new academic communication channels that enhance data sharing and reuse.
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One of the main responsibilities of the editorial office is to communicate effectively with authors through emails, formal letters, and most importantly through decision letters. Even when the content is informative and constructive and the editor has only good intentions, if the tone and level of formality are not managed properly, the image of the journal may be negatively affected, which may deter authors from submitting papers to the journal again. Despite their best efforts to treat authors respectfully, some editors may unintentionally cause offense if they lack the appropriate sociolinguistic knowledge required for effective English correspondence. In order to ease the burden of the editorial office, this tutorial aims to assist non-native English speaking editors by demonstrating the basic format and principles of writing formal letters and email, providing tips on how to select an acceptable level of formality, and offering strategies to avoid unintentional rudeness. Specific tips include framing issues positively, using indirect language, and using hedging. Through this tutorial, non-native English speaking editors are expected to develop sociolinguistic competence to write professionally and improve their efficiency in corresponding with authors.
What is the objective for science journals to publish research papers? Would it be enough to collect research manuscripts and simply publish them in print or on the web? Science journal publishers have always strived to find ways of disseminating journal content to as many readers as possible. It is now time for science journal publishers to think about why a journal should be published; whether it is acceptable for valuable scientific findings to lie dormant in a journal’s archive; and whether traditional science communication is still effective. The present article suggests that science journals should transform themselves into science storytellers to improve the visibility and discoverability of their research findings. First, a new communication network between journals, authors, peers, the public, and policymakers is required. Second, conversion of media from academic language to plain language is critical to broadening the audience. Third, audio-visual content should be introduced into journal publishing to facilitate easy comprehension of the content. Fourth, research-focused channels, including EurekAlert, Medium, and social networking service channels are recommended as new media to propagate journals’ content to researchers. Improving visibility and discoverability is an urgent mission, especially for small society journals. To achieve this mission, science journals should be adapted to become storytellers and science communicators, as suggested above. A small society journal’s editor is not merely an editor, but an editor-publisher; therefore, editors should understand and take on this role.
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