RSIS International

Guide to Peer Review Data Management
Managing peer review data is a critical component of maintaining the integrity and quality of scholarly publishing. We prioritize transparency, accuracy, and confidentiality throughout the peer review process. Below, we outline how peer review data is handled and why it matters:

Data Collection

We collect peer review data through a streamlined process involving expert reviewers, authors, and editors. Information gathered includes reviewer feedback, decision summaries, and author revisions, all securely stored within our Open Journal Systems (OJS) platform.

Data Security

To protect sensitive data, robust security measures are implemented, including:

Data Usage

Peer review data serves multiple purposes:

Data Sharing

We ensure that peer review data is shared only with authorized personnel. This includes:

Transparency and Reporting

As part of our commitment to transparency, we publish peer review statistics, such as:
These insights help authors and reviewers better understand the dynamics of the process.

Reviewer Recognition

To acknowledge the vital role of reviewers, we issue certifications and offer the opportunity to list verified reviews through platforms like Publons.

Continuous Improvement

We regularly evaluate our peer review practices to incorporate feedback, enhance efficiency, and adapt to emerging industry standards. For more information on our peer review process or to become a reviewer, feel free to contact us or visit our dedicated reviewer resources page.