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2 "Algorithms"
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Original Article
Improving reviewer selection in Open Journal Systems using a Scopus search application programming interface in the Journal of Information System Engineering and Business Intelligence
Indra Kharisma Raharjana, Badrus Zaman, Oktavia Intifada Husna, Rizfi Ferdiansyah, Aretha Seno Putri, Fariska Dwi Kartika Sari
Received August 11, 2024  Accepted December 9, 2024  Published online February 6, 2025  
DOI: https://doi.org/10.6087/kcse.356    [Epub ahead of print]
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  • 16 Download
AbstractAbstract PDF
Purpose
The peer review process is essential for maintaining the quality of scientific publications. However, identifying reviewers who possess the necessary expertise can be challenging. In Open Journal Systems (OJS), which is commonly utilized by journals, the most effective method of inviting reviewers is when they are already registered in the system. This study seeks to improve the efficiency and accuracy of the reviewer selection process to ensure high-quality peer reviews.
Methods
We introduced a process innovation to analyze users within OJS and obtain recommendations for potential reviewers possessing the relevant expertise for the manuscript under review. This study collected user data from OJS as potential reviewers and utilized information from the Scopus search application programming interface (API). We extracted authors’ data from the Scopus API to obtain their Scopus IDs, which were then used to scrape publication data of potential reviewers. The system matched the previous works of reviewers with the title and abstract of the manuscript using term frequency-inverse document frequency and cosine similarity algorithms.
Results
The system was evaluated by comparing its recommendations with the assessments made by the editorial team. This evaluation yielded precision, mean average precision, and mean reciprocal rank values of 0.47, 0.77, and 0.87, respectively.
Conclusion
The results clearly demonstrate the system’s ability to provide relevant reviewer recommendations. This system offers significant benefits by assisting editors in identifying suitable reviewer candidates from the existing user database in OJS, particularly for the evaluation of manuscripts.
Review
An algorithm for the selection of reporting guidelines
Soo Young Kim
Sci Ed. 2023;10(1):13-18.   Published online November 14, 2022
DOI: https://doi.org/10.6087/kcse.287
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  • 297 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDF
A reporting guideline can be defined as “a checklist, flow diagram, or structured text to guide authors in reporting a specific type of research, developed using explicit methodology.” A reporting guideline outlines the bare minimum of information that must be presented in a research report in order to provide a transparent and understandable explanation of what was done and what was discovered. Many reporting guidelines have been developed, and it has become important to select the most appropriate reporting guideline for a manuscript. Herein, I propose an algorithm for the selection of reporting guidelines. This algorithm was developed based on the research design classification system and the content presented for major reporting guidelines through the EQUATOR (Enhancing the Quality and Transparency of Health Research) network. This algorithm asks 10 questions: “is it a protocol,” “is it secondary research,” “is it an in vivo animal study,” “is it qualitative research,” “is it economic evaluation research,” “is it a diagnostic accuracy study or prognostic research,” “is it quality improvement research,” “is it a non-comparative study,” “is it a comparative study between groups,” and “is it an experimental study?” According to the responses, 16 appropriate reporting guidelines are suggested. Using this algorithm will make it possible to select reporting guidelines rationally and transparently.

Citations

Citations to this article as recorded by  
  • Journal of Educational Evaluation for Health Professions received the Journal Impact Factor, 4.4 for the first time on June 28, 2023
    Sun Huh
    Journal of Educational Evaluation for Health Professions.2023; 20: 21.     CrossRef
  • Why do editors of local nursing society journals strive to have their journals included in MEDLINE? A case study of the Korean Journal of Women Health Nursing
    Sun Huh
    Korean Journal of Women Health Nursing.2023; 29(3): 147.     CrossRef

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