Editorial Policies

Authorship

At RiSE, we recognize that most research is a collaborative effort, and it is essential to appropriately acknowledge the contributions of all team members. All listed authors must qualify as such according to the CRediT (Contributor Roles Taxonomy) definitions. The CRediT taxonomy provides a structured way to assign credit to contributors based on their specific roles in the research process. This ensures transparency and fairness in the allocation of authorship and author order. For more information on the CRediT taxonomy, please visit https://credit.niso.org/.

All authors must have given explicit permission to be listed on the submitted paper. Authorship should reflect the contributions made to the work, and all contributors should be acknowledged accordingly.

Conflicts of Interest

RiSE is committed to transparent and bias-free research. To maintain the integrity of our publications, all authors must declare any interests that could compromise, conflict, or influence the validity of the publication.

Authors are required to:

Specify funding sources received.
Declare any competing interests, including financial and non-financial relationships, that could influence their work.

For more information on handling conflicts of interest, please visit the COPE website.

Corrections, Retractions, and Research Misconduct

RiSE is committed to maintaining the integrity and accuracy of the scientific record. To address corrections and retractions, we follow the Committee on Publication Ethics (COPE) guidelines. For more information, visit COPE's website.

Corrections

Corrections are issued for minor errors that do not affect an article's overall results or conclusions. These may include typographical errors, author information inaccuracies, or minor data presentation issues.

Process for Corrections:

Identification: Errors can be identified by authors, readers, or the editorial team.
Notification: Authors should notify the editorial team of any errors in their published work.
Publication: Corrections will be published as soon as possible and linked to the original article.

Retractions

Retractions are issued for significant errors or issues that invalidate the results or conclusions. These may arise from research misconduct or honest errors.

Process for Retractions:

Investigation: The editorial team investigates concerns raised by authors, readers, or the editorial team.
Decision: The article will be retracted if significant issues are confirmed.
Publication: Retractions will be clearly labeled and published as soon as possible. The retracted article will remain accessible but marked as retracted, with an explanation.

Handling Allegations of Research Misconduct

RiSE takes allegations of research misconduct very seriously. Research misconduct includes fabrication, falsification, plagiarism, or other practices that deviate from ethical standards for conducting and reporting research.

Process for Handling Allegations:

Reporting: Allegations of research misconduct can be reported by authors, readers, or the editorial team.
Preliminary Assessment: The editorial team will conduct a preliminary assessment to determine if there is sufficient evidence to warrant a full investigation.
Investigation: If warranted, a full investigation will be conducted, following COPE guidelines and in consultation with relevant institutional and regulatory bodies.
Outcome: Based on the findings, appropriate actions will be taken, which may include correction, retraction, or other measures to address the misconduct.
Transparency: The outcomes of investigations will be communicated transparently and any necessary corrections or retractions will be published as soon as possible.

Data Sharing

Overview

RiSE values transparency and reproducibility in research. While data sharing is not mandated, we strongly encourage authors to share their data in an open repository whenever possible, taking into consideration ethical and confidentiality concerns. We believe that data can be as impactful, if not more so, than the paper itself.

Guidelines for Data Sharing:

Open Repository: Authors are encouraged to deposit their data in a reputable open-access repository. Examples include, but are not limited to, the Open Science Framework (OSF) and LDBase.
Ethical Considerations: Authors must consider ethical guidelines, including issues of confidentiality and consent. Data should be anonymized to protect the privacy of research participants.
Data Availability Statement: Authors should include a Data Availability Statement in their manuscript indicating where their data are stored and how they can be accessed. This statement should be placed in a dedicated section at the end of the manuscript.
Rationale for Non-Disclosure: If authors are unable to share their data, they must provide a rationale in their manuscript. This should include the reasons for non-disclosure, any restrictions, and, if applicable, when and how the data will become available in the future.
Impact of Data Sharing: By sharing data, authors contribute to the transparency, reproducibility, and overall impact of their research. Shared data can facilitate new discoveries, allow for the validation of findings, and enhance the educational value of the research.
Resource: For additional information, guidance, and resources for data sharing, see XX.

Example Data Availability Statements:

The data that support the findings of this study are available in [repository name] at [DOI or URL].
Due to [ethical/privacy] restrictions, the data are not publicly available.

Human Subjects Research

RiSE requires all studies involving human subjects to adhere to the highest ethical standards. Authors must ensure that their research complies with institutional, national, and international guidelines for ethical conduct in human subjects research.

Plagiarism

RiSE strictly prohibits plagiarism in any form. All manuscripts must be original and properly cited. We use plagiarism detection software for all submissions. Plagiarism will result in immediate rejection and possible future submission bans. Authors are responsible for ensuring their work is original and correctly attributed.

Artificial Intelligence-Generated Content

RiSE allows the use of AI tools to enhance clarity and quality but prohibits entirely AI-generated manuscripts. When using AI, authors must:

Use AI only for assistance (e.g., grammar checks, language enhancement)
Disclose AI tool usage and its role in the manuscript.
Take full responsibility for the content.

We will reject manuscripts primarily generated by AI. Our goal is to ensure originality and human insight in all published research.