1. Purpose of the Policy

The purpose of this policy is to promote responsible management, reporting, preservation and appropriate sharing of research data associated with manuscripts submitted to or published by Advanced Scientific Research.

Research data should be collected, processed, analyzed, stored and reported in a manner consistent with accepted scholarly and ethical practices.

2. Scope of the Policy

This policy applies to research data associated with manuscripts submitted to Advanced Scientific Research, including quantitative, qualitative, experimental, observational, survey, computational and other forms of scholarly data.

3. Research Data Integrity

Authors are responsible for ensuring that research data presented in a manuscript are accurate and have not been intentionally fabricated, falsified or improperly manipulated.

Where applicable, authors should maintain original records, research instruments, coding procedures, analysis files and other documentation necessary to understand how the results were obtained.

• Data should be recorded accurately.
• Data should not be fabricated or falsified.
• Material alterations to datasets should be documented where appropriate.
• Analytical procedures should be appropriately described.
• Data exclusions or significant processing decisions should be explained where relevant.

4. Research Data Management

Authors should use reasonable procedures for organizing, storing and protecting research data throughout the research lifecycle.

5. Data Availability

Advanced Scientific Research encourages authors to make research data available whenever appropriate, subject to ethical, legal, confidentiality and intellectual-property considerations.

Examples

• Publicly available: "The data supporting the findings of this study are available in a publicly accessible repository."
• Available upon request: "Relevant data may be made available by the corresponding author upon reasonable request, subject to applicable restrictions."
• Restricted: "Data are not publicly available because of ethical, confidentiality or legal restrictions."
• No data generated: "This study did not generate or analyze new datasets."

6. Research Data Sharing

Data sharing can improve transparency, reproducibility and opportunities for further research. Authors are encouraged to share appropriate datasets where doing so is ethically and legally permissible.

When sharing data, authors should consider:

• Privacy and confidentiality.
• Participant consent.
• Applicable laws and regulations.
• Institutional research policies.
• Intellectual-property considerations.
• Third-party restrictions.
• Appropriate attribution and licensing.

7. Exceptions to Data Sharing

Advanced Scientific Research recognizes that some datasets cannot be openly shared. Appropriate restrictions may apply where data contain confidential, personally identifiable, sensitive or otherwise protected information.

Examples may include:

• Personally identifiable participant information.
• Confidential interviews or sensitive qualitative material.
• Protected institutional information.
• Data subject to contractual restrictions.
• Data covered by intellectual-property restrictions.
• Information for which sharing would violate applicable law or ethical approval conditions.

8. Privacy and Confidentiality

Authors must protect the privacy and confidentiality of research participants and other individuals whose data are used in research.

Personally identifiable information should not be publicly disclosed unless there is an appropriate ethical and legal basis for doing so.

9. Data Preservation and Retention

Authors should retain relevant research records for a reasonable period consistent with their institution, discipline, funder and applicable legal requirements.

Where appropriate, authors are encouraged to preserve datasets and supporting materials in reliable repositories or institutional systems.

10. Reproducibility and Transparency

Authors should provide sufficient methodological information for readers and researchers to understand how the reported findings were obtained.

Where relevant, authors are encouraged to provide:

• Research instruments or questionnaires.
• Relevant datasets or information about their availability.
• Statistical procedures.
• Computer code or analytical scripts where appropriate.
• Details of data processing and transformation.
• Relevant supplementary materials.

11. Fabrication, Falsification and Manipulation

Advanced Scientific Research does not accept fabricated, falsified or deliberately misleading research data.

12. Author Responsibility

Authors are primarily responsible for the integrity, documentation and appropriate management of the data underlying their submitted research.

Advanced Scientific Research Commitment to Research Data Integrity

Advanced Scientific Research supports responsible research data practices that strengthen transparency, reproducibility and confidence in the scholarly record.

Authors are encouraged to adopt appropriate data-management practices and provide transparent information about the availability and limitations of research data.