Reproducibility Policy

The Global Journal of Engineering and Technology Research (GJETR) is committed to championing research transparency, integrity, and reliability through a robust Reproducibility Policy—a fundamental pillar of international scientific excellence in engineering and technology.

What Is Reproducibility?

Reproducibility means that independent researchers, using the same data, methods, computational steps, and conditions, can consistently achieve the same results as reported in a published article. It distinguishes credible research, supports scientific trust, and accelerates knowledge advancement across disciplines.

Why Is Reproducibility Important?

  • Scientific Trust: Demonstrates that findings are not the result of bias, chance, or errors.

  • Transparency: Facilitates independent verification, evaluation, and improvement of published work.

  • Global Collaboration: Enables international researchers to build on, reanalyze, and extend prior research—maximizing scholarly impact.

  • Open Science Compliance: Aligns GJETR with the best practices and requirements set by major global science organizations and funders.

GJETR Best Practices for Reproducible Research

To maximize reproducibility, submissions to GJETR must adhere to the following principles:

1. Data Sharing

  • Raw Data Availability: Authors are required to make raw data, processed datasets, and related metadata available in a reliable public repository, unless restricted by legal or ethical considerations.

  • Data Statement: Every manuscript must include a "Data Availability Statement" detailing where and how the underlying data can be accessed.

2. Methodological Transparency

  • Detailed Protocols: All methods, experimental procedures, and analytical steps must be described in enough detail to allow others to repeat them independently.

  • Software and Code Sharing: Authors are encouraged to share software, scripts, and computational code (with version information) used for analysis through public repositories, supporting transparent, reproducible workflows.

3. Reporting Standards

  • Clear Documentation: All results, including preprocessing methods, data cleaning, assumptions, and statistical analysis plans, must be meticulously documented.

  • Supplemental Files: Large datasets, code, or additional documentation should be uploaded as supplemental material or through links to established repositories.

4. Open and Collaborative Practices

  • Pre-registration: Manuscripts describing significant experimental work should highlight any pre-registered hypotheses, protocols, or lab notes where applicable.

  • Peer Review Transparency: Data and code may be requested by peer reviewers or editors to verify results during the review process.

5. Ethical and Legal Compliance

  • Confidentiality: Exceptions to data/code sharing must be justified (e.g., privacy issues, contractual restrictions) and described in the data statement.

  • Third-Party Data/Software: Proper permissions and licenses must be secured for all non-original data and proprietary tools.

Recognition and Incentives

  • Manuscripts meeting the highest standards for open data, code, and transparent methods may receive a “Reproducibility Badge” on their published article, enhancing visibility and credibility.

  • Articles with verified data availability may be prioritized for promotion and indexed in open science databases, increasing reach and citation potential.

Continuous Policy Evolution

GJETR’s reproducibility policy is reviewed and updated regularly to reflect advances in international standards, technology, and best practices.

 

By upholding these standards, GJETR supports a global engineering and technology community built on trust, transparency, and truly reproducible scientific progress. For questions or clarifications regarding this policy, please contact the editorial office.