• KCI(Korea Citation Index)
  • DOI(CrossRef)
  • DOI(CrossCheck)

Journal of The Korean Data Analysis Society

ISSN : 1229-2354 (Print) / 2733-9173 (Online)

  • KCI(Korea Citation Index)
  • DOI(CrossRef)
  • DOI(CrossCheck)

Journal of The Korean Data Analysis Society

ISSN : 1229-2354 (Print) / 2733-9173 (Online)

Journal Information

Journal Information

  • Journal title : Journal of The Korean Data Analysis Society
  • Publisher : The Korean Data Analysis Society
  • Journal launch year : 1998
  • Abstracting and indexing : KCI (Korea Citation Index), Google Scholar
  • ISSN : 1229-2354
  • The frequency of publication : Bimonthly
  • Publication Managing : Sangtae Han (President, KDAS)
  • Copyright : The Korean Data Analysis Society (KDAS)
  • Journal Office : 76, Banpo-daero 24-gil, Seocho-gu, Seoul, Republic of Korea, 06650.
  • Tel : +82-2-6673-0709 | E-mail : jkdas.office@gmail.com

Aims and Scope

  • The Journal of The Korean Data Analysis Society (JKDAS) is committed to advancing the fields of data science, statistics, and their interdisciplinary applications by publishing high-quality, peer-reviewed research. The journal welcomes original contributions that showcase methodological innovations, theoretical advancements, and practical insights in statistical data analysis and data-driven decision-making.
    The journal broadly publishes General Study Papers, Case Study Papers, and other manuscripts related to statistical data analysis:
  • ⋅ General Study Papers: Scholarly theoretical research and innovative applied studies in the field of statistical data analysis.
    ⋅ Case Study Papers: Practical applied research and case studies focusing on statistical data analysis in real-world scenarios.
  • JKDAS fosters collaboration across disciplines and promotes the development of statistical and data-driven solutions to address contemporary challenges in science, technology, economics, and medicine. Its scope includes, but is not limited to:
  • Innovative statistical methodologies and advanced data analysis techniques.
    Applications of machine learning, artificial intelligence, and big data analytics to scientific and technological research.
    Economic modeling and forecasting for financial analysis, policy development, and decision-making.
    Biostatistics and health data analysis in medical research, public health, and clinical studies.
    ⋅ Interdisciplinary research integrating statistical approaches with emerging technologies to solve real-world problems.
  • All submitted manuscripts undergo a rigorous peer review process to ensure the publication of scientifically sound, original, and impactful research. Articles are evaluated based on their methodological rigor, novelty, clarity of presentation, and significance of findings.

Journal Website

Name of Journal

  • The official journal title is Journal of the Korean Data Analysis Society ("JKDAS").
  • The abbreviated title is J. Kor. Data Anal. Soc.

Submission Eligibility

  • In principle, submissions are limited to members of KDAS society. However, exceptions are made for co-authors and invited contributors who are not members.

Types of Manuscript

  • The JKDAS accepts original research papers, including General Study Papers and Case Study Papers. General Study Papers primarily concentrate on academic theoretical research and innovative applied research in statistical data analysis, whereas Case Study Papers emphasize practical applied research and real-life case studies related to statistical data analysis.

Peer Review Process

  • Upon receiving a paper manuscript, JKDAS editors will perform a plagiarism check and then choose an editor whose area of expertise aligns with the paper's subject matter. This editor will commence the manuscript review process by appointing a minimum of three reviewers. Reviewers may request modifications or revisions to the manuscript content. If all reviewers in the relevant field recommend acceptance of the paper, the decision to accept it is made, and the editorial committee will review and deliberate whether the paper is appropriate for the purpose and scope of the journal before making the final decision on publication.

Publication Dates

  • The journal publishes six issues per year on the following dates: February 28th, April 30th, June 30th, August 31st, October 31st, and December 31st.

Author Fees

1. Publication fee

  • The basic publication fee for a regular paper is 200,000 KRW per 12 pages, and 300,000 KRW for research grant recipients. An additional 10,000 KRW will be charged per page exceeding 1 page.
  • ※ Maximum length of the paper: 20 pages

2. Annual membership fee

  • Regular members: 50,000 KRW, undergraduate and master's degree students: 30,000 KRW
  • The membership fee is paid only in the year of submission, not every year.

3. New membership fee

  • 50,000 KRW (One-time payment for a lifetime)
  • ※ Undergraduate and master's degree students are temporarily exempt, but when they become regular members, they must pay the new membership fee once.

Copyright and Licensing

  • The author is solely responsible for the content of the published paper and assigns all forms of publication and distribution rights, including copyright, to the society for all published papers in the journal. Therefore, the society owns the copyright of published papers.

Access

  • JKDAS is a open access journal.
Vol. , No.

The Journal of Korean Association of Computer Education

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