Author Guidelines

  1. Scope and Topics

Data Science - Extracting Insights publishes high-quality, original research focused on the latest advancements and applications in data science. We welcome manuscripts that explore innovative methodologies, tools, and techniques for extracting valuable insights from complex data in various domains. Topics of interest include, but are not limited to:

  • Data preprocessing, cleaning, and wrangling techniques
  • Machine learning and deep learning algorithms and their applications
  • Data visualization and exploration techniques
  • Big data analytics and distributed computing
  • Predictive analytics and statistical modeling
  • Data mining techniques and algorithms
  • Natural language processing (NLP) and text mining
  • Reinforcement learning and unsupervised learning
  • Ethical considerations and bias in data science
  • Case studies on the application of data science across industries (e.g., healthcare, finance, e-commerce)
  • Data privacy, security, and governance in data science
  1. Types of Submissions

We accept the following types of manuscripts:

  • Original Research Articles: In-depth studies reporting original research, novel algorithms, and new applications of data science techniques.
  • Review Articles: Comprehensive surveys that summarize the state-of-the-art in specific areas of data science, providing insights into future directions.
  • Case Studies: Real-world applications of data science techniques across various industries or domains.
  • Technical Notes: Short communications on specific data science methods, tools, or innovations.
  • Letters to the Editor: Brief commentaries or responses to recent articles or emerging trends in data science.
  1. Manuscript Preparation

Manuscripts should be prepared in English and follow the structure outlined below:

Title Page

  • Title of the manuscript (clear, concise, and descriptive).
  • Full names of all authors, along with their affiliations and contact information.
  • Corresponding author details, including email address and phone number.
  • A running title (up to 50 characters).
  • A list of 4-6 keywords that accurately describe the subject of the paper.

Abstract

  • The abstract should succinctly summarize the objectives, methods, results, and conclusions of the research.
  • The length should be between 150-250 words.
  • Avoid citations, figures, or tables in the abstract.

Main Text

The manuscript should be organized as follows:

  • Introduction: Provide background information on the research problem, the motivation for the study, and a brief literature review to contextualize the research.
  • Related Work: Discuss relevant studies in the field of data science, highlighting the advancements made and the gaps your research addresses.
  • Methodology: Clearly explain the data sources, analytical methods, algorithms, models, and tools used in the study.
  • Results: Present the results of the study with appropriate use of figures, tables, and statistical analysis.
  • Discussion: Interpret the results, comparing them to existing work, and discussing their practical implications.
  • Conclusion: Summarize the key findings and suggest potential directions for future research.

Figures and Tables

  • Figures and tables should be numbered consecutively (e.g., Figure 1, Table 1) and referred to in the text.
  • Each figure and table must have a descriptive caption.
  • Figures should be high resolution (at least 300 dpi) and submitted in standard formats such as .jpg, .png, or .tiff.
  • Tables should be self-contained and easy to understand, with all units clearly defined.

References

  • References must be formatted according to the journal’s citation style (e.g., APA or IEEE style).
  • Every citation mentioned in the text must appear in the reference list, and vice versa.
  • Ensure that references are complete and up-to-date, including journal articles, books, and online sources.
  1. Submission Process

Manuscripts must be submitted electronically through the journal’s online submission system. Authors need to create an account or log in to submit their manuscripts. During the submission, authors will be required to provide the following information:

  • Conflict of Interest: A statement regarding any potential conflicts of interest, including financial, personal, or professional relationships that could influence the research.
  • Ethical Approval: If the research involves human participants or animals, authors must provide a statement of ethical approval from a relevant committee.
  • Data Availability: Authors must include a statement regarding the availability of the data used in the study. Where appropriate, data should be made publicly available through repositories.
  1. Ethical Considerations
  • Plagiarism: All submitted manuscripts must be original and free from plagiarism. The journal uses plagiarism detection software to ensure the integrity of submitted work.
  • Data Integrity: Authors must ensure that all data reported in their manuscript is accurate, reliable, and reproducible. Any form of data manipulation or falsification will result in immediate rejection.
  • Human and Animal Rights: Research involving human participants or animals must adhere to ethical guidelines. Authors must include statements of informed consent and ethical approval where applicable.
  • Conflict of Interest: Authors must disclose any financial or personal relationships that could have influenced the research. This includes funding sources, consulting arrangements, and affiliations with relevant organizations.
  1. Copyright and Licensing

Upon acceptance, authors will be required to transfer the copyright of their article to the publisher. Data Science - Extracting Insights follows an Open Access policy, where all articles are freely available to the public immediately upon publication. The articles are published under a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license, which allows others to share, remix, and build upon the work, provided appropriate credit is given, and the use is non-commercial.

  1. Additional Information
  • Authors must ensure that their manuscript adheres to the journal’s guidelines and formatting requirements.
  • Manuscripts that do not follow the guidelines may be returned to the authors for revision before being sent out for review.
  • The journal reserves the right to make necessary revisions to the manuscript to improve its clarity, style, and formatting.
  • If you have any questions about the submission process, please contact the editorial office at [email address].
  1. Submission Checklist

Before submitting your manuscript, please ensure that:

  • Your manuscript is formatted according to the journal's guidelines.
  • All co-authors have approved the final manuscript.
  • Figures and tables are included and correctly formatted.
  • References are complete and formatted according to the journal’s style.
  • Ethical approval and conflict of interest disclosures are provided where applicable.

We look forward to receiving your manuscript and thank you for contributing to the field of data science.