Data and Reproducibility

Introduction

Transparent and reproducible research is a cornerstone of scientific integrity. The International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) supports open data practices and encourages authors to make their research data available to enable validation, replication, and reuse. This policy reflects our commitment to the COPE Core Practices, the Principles of Transparency and Best Practice in Scholarly Publishing, and the values of the Creative Commons Attribution (CC BY) license.

Description

Reproducibility ensures that research findings can be independently verified, while data availability promotes transparency and accelerates scientific discovery. Openly sharing data, code, and materials enhances collaboration, trust, and innovation across disciplines.

Data may include:

  • Raw or processed datasets

  • Statistical analysis files

  • Code and software used in simulations

  • Figures, tables, and supplementary materials

  • Metadata and experimental protocols

IJASEIT encourages researchers to deposit data in publicly accessible repositories, aligning with FAIR principles (Findable, Accessible, Interoperable, Reusable).

Policy

1. Data Availability Statement

All research articles must include a Data Availability Statement specifying:

  • Where the data supporting the findings are deposited

  • Whether data are publicly accessible and under what conditions

  • If data cannot be shared, a justification (e.g., legal, ethical, proprietary restrictions)

Examples:

  • “The data supporting the findings of this study are available in [repository name] at [DOI or URL].”

  • “The datasets generated during the study are available from the corresponding author upon reasonable request.”

  • “Data sharing is not applicable as no new data were generated or analyzed.”

2. Open Data and Licensing

Authors are encouraged to deposit their data in open-access repositories under licenses compatible with CC BY, which permits reuse, redistribution, and adaptation with proper attribution. IJASEIT recommends repositories such as:

  • Zenodo

  • Figshare

  • Dryad

  • Institutional or subject-specific archives

3. Reporting Guidelines

Authors must follow recognized reporting standards appropriate to their study design. Examples include:

  • CONSORT for randomized trials

  • PRISMA for systematic reviews

  • STROBE for observational studies

  • ARRIVE for animal research

Links to these and other guidelines are provided via the EQUATOR Network (www.equator-network.org).

4. Code and Software

Where custom code, scripts, or algorithms are integral to the study, authors must:

  • Make the code available in repositories such as GitHub, GitLab, or Bitbucket

  • Provide appropriate documentation and licenses

  • Include version numbers or access dates for reproducibility

5. Data Validation and Peer Review

IJASEIT encourages reviewers to evaluate the availability and completeness of data and code, where applicable. Authors may be asked to provide supporting data during the review process to ensure transparency.

6. Retention and Preservation

Authors are expected to retain underlying data for a minimum of 5 years after publication and to preserve it in secure and accessible formats.

7. Non-compliance

Failure to comply with data availability requirements may result in rejection or request for revision. For published articles, failure to disclose or provide data without valid reasons may lead to post-publication corrections or expressions of concern.

8. Ongoing Review

This policy is reviewed periodically to align with developments in open science, data sharing infrastructure, and global ethical standards. IJASEIT continuously supports a culture of reproducible and transparent research.