Peer Review Process

Journal of Statistics and Data Analytics

Peer Review Process

Peer Review Summary: Journal of Statistics and Data Analytics (JSDA) applies a double-blind peer-review process to evaluate the scientific quality, originality, methodological rigor, statistical validity, analytical contribution, and relevance of submitted manuscripts. Manuscripts that pass the initial editorial screening are normally evaluated by at least two independent reviewers with expertise relevant to the statistical, computational, methodological, or applied aspects of the study.

A. PEER REVIEW MODEL

Double-Blind Peer Review

JSDA uses a double-blind peer-review system, in which the identities of authors and reviewers are concealed from each other during the review process. This model is intended to support independent, objective, fair, and academically focused evaluation of submitted manuscripts.

B. PEER REVIEW WORKFLOW

1 Submission The manuscript is submitted through the JSDA online submission system.
2 Initial Editorial Screening The Editorial Team evaluates basic suitability, scope, format, originality, and minimum scholarly quality.
3 Reviewer Assignment Qualified independent reviewers are selected according to manuscript topic and methodology.
4 Peer Review Reviewers evaluate scientific, statistical, analytical, and presentation quality.
5 Editorial Decision The editor evaluates reviewer reports and determines the appropriate editorial decision.
6 Author Revision Authors revise the manuscript and respond systematically to reviewer comments.
7 Re-Evaluation Revised manuscripts may be returned to the original reviewers or evaluated editorially, depending on the extent of revision.
8 Final Decision The responsible editor or Editor in Chief makes the final decision.

C. INITIAL EDITORIAL SCREENING

Before peer review, each submission undergoes an initial assessment by the Editorial Team. The screening may consider:

  • alignment with the journal's aims and scope;
  • compliance with the official manuscript template;
  • completeness of manuscript structure and metadata;
  • basic academic and methodological quality;
  • clarity of the statistical or analytical contribution;
  • originality and similarity concerns;
  • ethical compliance where relevant;
  • overall suitability for external peer review.

Manuscripts that are clearly outside the journal's scope, lack a substantive statistical or data-analytic contribution, or do not meet minimum scholarly requirements may be declined without external peer review.

D. REVIEWER SELECTION

Reviewers are selected based on academic qualifications, research experience, methodological expertise, publication record, independence, and relevance to the manuscript.

For manuscripts involving specialized statistical, computational, or machine-learning methods, the Editorial Team seeks reviewers with appropriate expertise to evaluate both the methodology and its application.

E. NUMBER OF REVIEWERS

Manuscripts that proceed to external review are normally evaluated by at least two independent reviewers. Additional reviewers may be invited when reviewer opinions differ substantially or when specialized methodological expertise is required.

F. REVIEW CRITERIA

Reviewers are asked to evaluate the manuscript on several dimensions, including:

  • originality and novelty;
  • relevance to statistics and data analytics;
  • clarity of the research problem and objectives;
  • quality and relevance of the literature review;
  • appropriateness of the research design;
  • validity of statistical methods and analytical procedures;
  • appropriateness of model assumptions;
  • quality of estimation and inference;
  • adequacy of model diagnostics and validation;
  • quality of computational procedures;
  • reproducibility and transparency of analysis;
  • accuracy of interpretation and conclusions;
  • quality of tables, figures, and data visualizations;
  • academic writing and organization;
  • overall contribution to knowledge or practice.

G. STATISTICAL AND ANALYTICAL REVIEW

Given the disciplinary focus of JSDA, particular attention is given to the quality of statistical and analytical methodology. Where relevant, reviewers may examine:

  • whether the statistical method is appropriate for the research question;
  • whether assumptions are adequately justified and evaluated;
  • whether sample size and sampling procedures are appropriate;
  • whether model specification is scientifically justified;
  • whether missing data and outliers are appropriately handled;
  • whether parameter estimation is correctly implemented;
  • whether uncertainty is adequately quantified;
  • whether hypothesis testing is appropriately conducted;
  • whether model diagnostics are sufficient;
  • whether predictive models are appropriately validated;
  • whether model comparisons use appropriate criteria;
  • whether conclusions are supported by the analyses presented.

H. MACHINE LEARNING AND DATA ANALYTICS REVIEW

For manuscripts involving machine learning, data mining, or predictive analytics, reviewers may additionally consider:

  • quality and representativeness of the dataset;
  • data preprocessing procedures;
  • training and testing strategy;
  • cross-validation procedures;
  • feature selection or feature engineering;
  • appropriate baseline or benchmark models;
  • choice of performance metrics;
  • risk of overfitting or data leakage;
  • model interpretability where relevant;
  • generalizability of the results;
  • reproducibility of computational procedures.

I. REVIEWER RECOMMENDATIONS

Accept Submission The manuscript is suitable for publication without substantial revision.
Minor Revision The manuscript requires limited clarification, correction, or improvement.
Major Revision Substantial methodological, analytical, or presentation revision is required.
Resubmit for Review Significant redevelopment is required and the manuscript should undergo another review cycle.
Decline Submission The manuscript does not satisfy the journal's scientific, methodological, ethical, or scope requirements.

J. EDITORIAL DECISION

Reviewer recommendations are advisory and do not automatically determine the final editorial decision. The responsible editor considers reviewer reports, the manuscript, author responses, methodological quality, ethical requirements, and journal policies before making a decision. The final publication decision remains the responsibility of the Editor or Editor in Chief.

K. AUTHOR REVISION

When revision is requested, authors should carefully address the comments provided by reviewers and editors.

Authors should submit a revised manuscript together with a clear point-by-point response explaining how each reviewer comment has been addressed. Where an author disagrees with a recommendation, a clear scholarly justification should be provided.

L. RE-REVIEW OF REVISED MANUSCRIPTS

Revised manuscripts, particularly those receiving major revision, may be returned to the original reviewers for further evaluation. The Editorial Team may also invite an additional reviewer when specialized expertise or an independent assessment is considered necessary.

M. CONFLICTING REVIEWER REPORTS

When reviewer recommendations differ substantially, the editor evaluates the reasoning provided in each review. An additional independent reviewer may be appointed when necessary to support a fair and well-informed editorial decision.

N. CONFIDENTIALITY

Manuscripts, reviewer reports, author responses, and editorial correspondence are confidential. Reviewers must not disclose, share, copy, distribute, or use unpublished manuscript content, data, methods, algorithms, code, or findings for unauthorized purposes.

O. CONFLICT OF INTEREST

Reviewers should decline review assignments when financial, personal, professional, institutional, academic, competitive, or collaborative relationships could reasonably influence or appear to influence their impartiality. Potential conflicts should be disclosed to the Editorial Team before reviewing the manuscript.

P. ETHICAL CONCERNS DURING REVIEW

Reviewers are encouraged to notify the editor when they identify or reasonably suspect plagiarism, duplicate publication, data fabrication, data falsification, statistical manipulation, misleading visualization, citation manipulation, or other forms of research or publication misconduct. Such concerns should be communicated confidentially.

Q. REVIEW TIME

The journal seeks to conduct peer review efficiently while maintaining appropriate scholarly standards. Review duration may vary depending on manuscript complexity, reviewer availability, revision requirements, and the need for specialized statistical or methodological evaluation. JSDA therefore does not guarantee a fixed review duration for every submission.

R. APPEALS

Authors may submit a reasoned appeal against an editorial decision when they believe a significant scholarly or procedural issue has affected the evaluation. Appeals should identify the specific issue and provide a clear academic justification. An appeal does not automatically result in reconsideration or acceptance.

S. EDITORIAL INDEPENDENCE

Editorial decisions are based on scientific merit, methodological validity, originality, relevance, ethical compliance, and contribution to the journal. Decisions should not be influenced by commercial, financial, institutional, personal, or other inappropriate considerations.

Commitment to Rigorous Peer Review

Journal of Statistics and Data Analytics is committed to a peer-review process that supports scientific rigor, statistical validity, analytical transparency, reproducibility, academic integrity, and constructive scholarly communication. The journal considers peer review an essential component of maintaining the credibility and quality of published statistical and data-driven research.

Editorial Office

Journal of Statistics and Data Analytics
PT. Gammabeta Edu and Tech
Jl. Rijali RT 003 RW 001
Ambon 97123, Maluku, Indonesia
E-mail: jsda@gammabeta.id

Journal of Statistics and Data Analytics
Statistics • Data • Analytics

Published by PT. Gammabeta Edu and Tech