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Beyond the Page – Managing Peer Review with Precision

Beyond the Page – Thought Leadership, Insights, and Stories from the Heart of Integra

Welcome to Beyond the Page, where we go beyond publishing to bring you thought leadership, insights, and stories from the heart of Integra. Each episode features Integra’s leaders and experts as they share their vision, strategies, and experiences in shaping the future of the industry. Tune in for an exclusive look at the minds driving innovation and transformation within our organization.


Introduction

Efficiently managing peer review is essential for scholarly journals. From handling submissions to coordinating with editors and reviewers, the process requires expertise, vigilance, and the right technology. Ensuring research integrity and detecting peer review manipulation are growing concerns for publishers worldwide.

In this conversation, we sit down with Abdul Hakkim, Senior Manager, Peer Review Services at Integra, to explore how his team supports journals, navigates challenges, and leverages innovation to strengthen editorial office management.


1. Understanding Peer Review Management at Integra

Q: Abdul, can you share a bit about your role at Integra and your experience in managing peer review services?

Abdul: Yes, my role as a Senior Manager for Peer Review Services at Integra involves setting up new businesses, overseeing operations, and managing strategic accounts for publishers. I have a decade of experience in the publishing industry, with the added advantage of working in production as well. I started as an editorial assistant in 2015 and moved up the ladder to team leader and then to a managerial role, handling larger teams across locations and different functions.

Q: What are the key functions your team handles when supporting a journal’s editorial office?

Abdul: My team at Integra supports journals with end-to-end peer review management, starting from manuscript triage, editorial office and peer review administration, reviewer selection, and image forensics. At the core, we manage journal operations by providing technical and subject matter services.

Q: How does your team collaborate with journal editors, publishers, and other stakeholders to ensure smooth operations?

Abdul: Each team has defined goals and works closely with journal stakeholders to improve operational efficiency in terms of the screening process, quality of submissions, turnaround time optimization, identifying bottlenecks, and recommending strategic actions for improvement.


2. Challenges and Best Practices in Editorial Office Management

Q: What are some of the biggest challenges journals face in managing peer review and editorial workflows?

Abdul: Some of the biggest challenges journals face are maintaining the quality of submissions despite the increasing volume of manuscripts each year and ensuring the timely publication of relevant content. Balancing volume, quality, and integrity remains a key challenge.

Q: What best practices do you recommend for journals looking to improve their editorial office management?

Abdul: While a tailored approach to meet each journal’s unique needs is essential, streamlined editorial workflows in submission processing, decision-making, and other stages of peer review help maintain the journal’s operational excellence. Some best practices include ensuring up-to-date documentation of workflows, robust initial screening to prevent duplicate submissions and plagiarism, verifying author and suggested reviewer identities, automating technical checks to focus on quality, and regularly updating editorial policies to align with industry best practices from organizations such as COPE (Committee on Publication Ethics) and ICMJE (International Committee of Medical Journal Editors).

Q: How does Integra help journals streamline peer review processes and overcome challenges?

Abdul: Integra helps journals streamline peer review processes by providing expert-driven solutions, data-driven insights, and operational support. For example, we help journals find suitable reviewers for manuscripts while ensuring the highest quality and ethical standards. This reduces peer review delays, mitigates reviewer fatigue, and enhances faster decision-making for submissions. We also assess peer review risks such as reviewer identity disclosure under anonymization policies, incomplete review comments, and editorial acceptance without external review for original research.


3. Research Integrity and Detecting Peer Review Manipulation

Q: Research integrity is a critical issue in scholarly publishing. How does the peer review process help maintain high ethical standards?

Abdul: By upholding rigorous evaluation, ethical screening, and transparency, the peer review process remains the cornerstone of research integrity in scholarly publishing.

Q: What are some of the most common types of peer review manipulation that journals should be aware of?

Abdul: Some common types of peer review manipulation include citation manipulation, fake or compromised reviewer identities, peer review rings, paper mills, and inappropriate authorship changes.

Q: How does Integra assist journals in detecting and preventing unethical peer review practices, such as paper mills, fake reviewers, and conflicts of interest?

Abdul: We assist journals in detecting and preventing unethical practices by performing reviewer identity verification, checking for unusual reviewer activities and paper mill indicators, and screening for conflicts of interest (COI) declarations and ethical compliance. Our comprehensive research integrity services help journals identify and analyze integrity issues by working collaboratively with publishers.

Q: Have you encountered any real-world examples of peer review manipulation? How were they addressed?

Abdul: Yes, I have seen journals combatting submissions from paper mills trying to manipulate the peer review process with increased submissions and incomplete peer review processes. By strengthening editorial policies for submissions and peer review — including implementing mandatory institutional email IDs, avoiding author-recommended reviewers, increasing the threshold for text overlap, requiring signed authorship change forms, and conducting in-depth analysis of submissions — journals were able to address the issue effectively.

Q: How do you see AI and automation shaping the future of research integrity monitoring?

Abdul: There are many promising initiatives and developments around monitoring research integrity issues, such as data fabrication and manipulation, fake identities, predictive analysis, and tortured phrase detection. However, the outcome of AI depends on how it is used — bad actors can also exploit AI to their advantage. I believe it’s about how we use AI to combat the misuse of AI.


4. Technology and Innovation in Peer Review

Q: How is technology transforming peer review and editorial management today?

Abdul: Technology is reshaping peer review and editorial management by improving efficiency and transparency. Automated manuscript screening, AI-powered reviewer matching, and image forensics tools are becoming increasingly popular. AI-assisted peer review also seems possible.

Q: Can you share how Integra integrates AI and automation to enhance the peer review process?

Abdul: Integra’s EditorialPilot platform performs 40+ technical and research integrity checks for submissions, improving the accuracy and efficiency of editorial management. This allows editorial staff to focus on quality, timeliness, and improved communication rather than repetitive administrative tasks.

Q: What role does data and analytics play in optimizing peer review workflows?

Abdul: Real-time tracking and monitoring help address delays in peer review effectively. Data analysis helps us understand reviewer engagement, turnaround times, acceptance rates, top contributors, and editor performance. Leveraging data and analytics helps publishers monitor submission trends and plan resource allocation.


5. Future Trends and Looking Ahead

Q: In your view, how is the peer review landscape evolving? What changes do you foresee in the coming years?

Abdul: The peer review landscape is undergoing significant transformation with the rise of AI and automation in peer review workflows. I see both opportunities and threats arising from AI, and I’m excited to see how we will embrace the opportunities and handle the threats responsibly.

Q: How is Integra preparing to meet the future needs of journal publishers and editorial offices?

Abdul: We carefully understand the needs of journal publishers and listen to their feedback on managing increased submission volumes, upholding research integrity, responsible use of AI, and optimizing existing workflows. Integra’s focus on expert-driven, AI- and technology-assisted solutions positions us to meet the future needs of journal publishers.

Q: Finally, what advice would you give to journal publishers looking to enhance peer review management and safeguard research integrity?

Abdul: It’s essential to regularly assess journal editorial policies and seek feedback from others. Detecting and preventing issues is more crucial than addressing them later. Bad actors and paper mills can exploit loopholes in editorial policies, such as weak screening processes, non-streamlined submission systems, imbalanced workloads, unmonitored performance, and bypassed policies.


Conclusion

Thank you, Abdul, for sharing your expertise on managing peer review services, ensuring research integrity, and detecting manipulation. It’s clear that effective editorial office management demands operational efficiency, ethical oversight, and technological innovation.

With growing challenges in peer review and research integrity, Integra’s expertise and technology-driven approach are paving the way for a more transparent and efficient scholarly publishing ecosystem. We look forward to seeing Integra continue to lead in this space.

The Future of Scholarly Publishing: Harnessing AI for Transformation

Introduction: The AI Imperative in Scholarly Publishing

The scholarly publishing landscape is undergoing a profound transformation as Artificial Intelligence (AI) becomes increasingly integrated into upstream workflows. AI’s revolutionary capabilities offer substantial benefits across critical areas of the publishing process, promising to reshape the industry’s future. This article examines the technological revolution led by AI, focusing on key upstream areas: manuscript triage, peer reviewresearch integrity, and end-to-end workflow management.

The Need for Bold Innovation

The scholarly publishing industry stands at a critical juncture, facing mounting pressures to adapt to digital transformations, evolving author expectations, and intensified scrutiny of research integrity. To navigate this complex terrain, publishers must embrace innovative solutions that leverage cutting-edge technology. Fostering a culture of innovation is crucial for empowering stakeholders to overcome challenges and seize new opportunities in an increasingly competitive landscape.

Harnessing AI for Sustainable Growth in Scholarly Publishing

The scholarly publishing ecosystem grapples with several challenges that threaten its sustainability:

  1. An unprecedented surge in manuscript submissions.
  2. The emergence of AI-powered tools like ChatGPT, changing the nature of content creation.
  3. Rising reviewer burnout due to increasing workloads.
  4. Persistent threats to research integrity.

AI tools provide innovative solutions to these issues, improving efficiency, quality, and integrity while alleviating stress and burnout among stakeholders. By embracing AI, publishers can create a more sustainable and resilient publishing ecosystem.

Key Areas of AI Integration

  1. Manuscript Triage: Enhancing Decision-Making

Advanced Machine Learning Algorithms:
Machine learning algorithms analyze historical data to predict the likelihood of acceptance for submissions, streamlining workflows and guiding authors to the most suitable journals.

How AI Works in Manuscript Triage:
AI systems use natural language processing (NLP) techniques to analyze the structure, content, and style of submissions. These tools assess sentence complexity, coherence between sections, and predict acceptance likelihood based on features like topic relevance, methodological robustness, and novelty.

Addressing the Surge in Submissions:
AI tools manage the increased volume of manuscripts by:

  • Automated Screening: Evaluating writing clarity, structure, and journal guidelines adherence.
  • Topic Classification: Routing manuscripts to relevant editors.
  • Plagiarism Detection: Identifying potential text recycling or unoriginal content.
  1. Peer Review: Streamlining the Process

AI-augmented services enhance peer review by reducing cycle times and maintaining standards. Key AI techniques include:

  • Reviewer Selection: Algorithms match manuscripts with appropriate reviewers based on expertise and availability.
  • Semantic Analysis: Ensures a strong match between reviewer expertise and manuscript content.
  • NLP: Extracts key information from reviewer comments to summarize feedback.
  • Machine Learning for Reviewer Performance: Predicts reviewer quality and timeliness.
  • Automated Summarization: Provides concise summaries of peer reviews.
  • AI-Based Translation & Fact-Checking: Improves accessibility and ensures accuracy in manuscripts.
  • Reviewer Matching Optimization: Balances workload distribution to prevent reviewer burnout.
  1. Research Integrity: Upholding Ethical Standards

AI tools safeguard academic credibility by detecting plagiarism, data fabrication, and ensuring ethical standards.

AI Methods for Ensuring Research Integrity:

  • Text Similarity Detection: Identifies potential plagiarism.
  • Image Analysis: Detects manipulated or duplicated images.
  • Statistical Anomaly Detection: Flags unusual data patterns.
  • Citation Network Analysis: Identifies citation manipulation.

Ethical Considerations in AI-Powered Publishing

  1. Bias in AI Systems:

To mitigate bias:

  • Use diverse training data representing various fields and demographics.
  • Conduct regular AI audits.
  • Involve diverse teams in AI system development.
  1. Transparency and Explainability:
  • Clearly communicate how AI is used in the evaluation process.
  • Make AI systems explainable for critical decisions.
  • Ensure human oversight with mechanisms for appeals.
  1. Data Privacy and Security:
  • Implement strong data protection and transparency measures.
  • Ensure compliance with GDPR, CCPA, and other regulations.
  1. Impact on Academic Labor:
  • Highlight how AI can augment human capabilities rather than replace them.
  • Invest in reskilling programs to adapt to new workflows and technologies.

Embracing AI for Academic and Publishing Excellence

AI presents transformative opportunities across the publishing ecosystem. By responsibly adopting these technologies, stakeholders can enhance researcher support, streamline workflows, and uphold high academic standards. Thoughtful integration of AI will contribute to the sustainable growth and evolution of scholarly publishing, ensuring efficiency, transparency, and ethical integrity.

Empowering Editorial Professionals

Editorial professionals remain at the heart of scholarly publishing, and AI is designed to empower them—not replace them. AI tools automate routine tasks, providing data-driven insights that allow professionals to focus on high-value activities requiring human expertise, judgment, and creativity. This collaboration between human and AI capabilities will elevate the quality of published research and accelerate scientific discovery.

The Road Ahead: Collaborative Innovation

The future of scholarly publishing lies in collaborative innovation. By embracing AI as a tool to augment human capabilities, technologists, publishers, researchers, and ethicists can shape systems that meet the needs of the scholarly community while upholding the highest standards of academic integrity.

Together, we can create a publishing ecosystem that is more efficient, inclusive, and equipped to tackle the complex challenges of our time. With responsible AI integration, scholarly publishing will continue to play a vital role in advancing human knowledge.

Take the Next Step

Ready to revolutionize your publishing process? Explore how AI can transform your workflows, enhance the quality of your publications, and drive sustainable growth in scholarly publishing. Contact us today to learn more about our AI-powered solutions and how they can be tailored to meet your needs.

At Integra, we celebrate the contributions of editorial professionals, recognizing their invaluable service to the scholarly community. Our advanced tools empower them, ensuring they continue to play a crucial role in advancing human knowledge through research. As a trusted partner, we offer human-led, technology-assisted solutions tailored for editorial, research integrity, and peer review management.

About the Author

Ashutosh Ghildiyal is Vice President – Growth & Strategy at Integra, where he leads enterprise-wide initiatives spanning growth, strategy, marketing, innovation, and AI-driven solutions for scholarly publishing. With nearly 20 years of international leadership experience, he works at the intersection of scholarly publishing, artificial intelligence, and knowledge infrastructure. His interests include AI governance, research integrity, peer review, publishing innovation, and the future of human knowledge systems. Ashutosh hosts Upstream by Integra, a podcast featuring conversations with global leaders shaping the future of scholarly communication. He serves on the Board of Directors of the International Society of Managing and Technical Editors (ISMTE) and is a Chef at The Scholarly Kitchen, where he writes about scholarly communication, AI governance, research integrity, publishing strategy, and the future of knowledge.