Data and Reproducibility

ESSI (Electrical, Signals, and Systemic Intelligence) is committed to promoting transparency, scientific rigor, and reproducibility in scholarly research. This policy outlines the journal's approach to data and code availability. The journal follows the Core Practices outlined by the Committee on Publication Ethics (COPE).

Data and Code Availability

ESSI strongly encourages authors to make all data and source code underlying their research findings fully available and accessible to readers. Authors must provide detailed information about the data collection process, hardware setups, algorithms, and analysis to allow for reproducibility and verification of the results. During the review process, editors or reviewers may request access to raw data or code to verify the findings.

For Quantitative and Computational Research: Authors are highly encouraged to deposit datasets and source codes in reputable public repositories (e.g., IEEE DataPort, Zenodo, GitHub, Kaggle) or provide a direct link in the article. If data cannot be made publicly available due to ethical constraints, privacy issues (especially for biomedical data), or legal agreements, authors must clearly state the reasons and provide a mechanism for researchers to request access.

For Qualitative and System-Based Research: Authors must provide detailed descriptions of the hardware configurations, experimental setups, and methodologies used. Block diagrams, schematics, and representative examples of signal data should be included to support the research findings.

Reporting Guidelines

ESSI encourages authors to adhere to relevant reporting guidelines specific to their study design. Following these guidelines enhances the clarity and completeness of research reporting, making it easier for peers to evaluate the methodology and facilitating the reproducibility of the system or experiment.

Clinical Trials and Biomedical Studies Registration

As ESSI publishes research intersecting with Biomedical Engineering, studies involving human participants or clinical trials must be registered in appropriate registries before participant enrollment. ESSI supports the principles outlined by the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) and requires compliance with international ethical standards (e.g., Declaration of Helsinki).

Reproducibility and Verification

ESSI values the fundamental importance of reproducibility in engineering and computational sciences. Authors must provide sufficient technical details in their manuscripts—including mathematical models, algorithmic parameters, system protocols, and analytical approaches—to enable other researchers to replicate the study findings accurately.

Data and Code Citation

Authors must properly cite the datasets, software, and external repositories used in their research to give appropriate credit and facilitate attribution. Data and code citations should be explicitly included in the reference list following the journal's standard citation format.

Compliance Check

The ESSI editorial board and peer reviewers will assess adherence to this data and reproducibility policy during the manuscript evaluation process. Authors may be asked to provide a Data Availability Statement or further clarifications regarding their datasets and methodologies before a final decision is made.

Review of the Policy

The publisher, Electrical Engineering Study Program, Universitas Jambi, will periodically review and update this policy to align with evolving international best practices in data sharing, computational transparency, and reproducibility. Any revisions will be communicated to authors and made publicly available on the ESSI website.