Data Sharing and Reproducibility Policy

At Nexus House Editorial, we uphold data transparency and research reproducibility as essential principles for ensuring the credibility and rigor of scientific publications. Our editorial policies on this matter are outlined below:

1. Open Data Sharing

  • Data Availability: Authors are expected to provide access to the datasets, codes, and materials that support the findings presented in their manuscripts, whenever technically and ethically feasible.

  • Reliable Repositories: Data should be deposited in trusted public repositories or submitted as supplementary material. Clear instructions on how and where to access the data must be included in the manuscript.

  • Ethical Compliance: For sensitive data, especially involving human participants, authors must ensure that data sharing complies with applicable legal and ethical standards, including obtaining informed consent where required.

2. Scientific Reproducibility

  • Methodological Transparency: Manuscripts must offer a complete and accurate description of all procedures, analytical methods, experimental designs, and inclusion/exclusion criteria used in the study.

  • Sharing Code: Authors are encouraged to submit scripts and computational tools used for data analysis as supplementary material, enabling other researchers to verify and build upon their results.

3. Data Availability Statement

  • Manuscript Disclosure: All submissions must include a Data Availability Statement specifying whether data is accessible, the conditions under which it can be requested, and any restrictions that apply.

  • Use of Third-Party Data: When using external datasets, authors must provide appropriate references and details for legal access and use under permitted conditions.

4. Editorial Commitment to Transparency

Nexus House Editorial actively supports open science. By encouraging responsible data sharing and ensuring the reproducibility of published results, we seek to enhance the trustworthiness of research and promote scientific progress.

5. Non-Compliance and Consequences

  • Editorial Review: Compliance with data policies will be assessed prior to publication. Manuscripts that do not meet the requirements may be returned for revision or rejected.

  • Corrective Actions: In cases of data mismanagement or misconduct, the editorial board may take appropriate measures such as issuing corrections, clarifications, or retracting the article.