Publishing with Springer Nature: Guidelines and Ethical Foundations

Springer Nature is one of the world’s leading academic publishers, known for its commitment to scientific excellence, editorial integrity, and ethical innovation. Whether you are considering publishing a book, an article, or engaging with open access pathways, Springer Nature provides structured, transparent, and supportive processes to help researchers share their work with the global academic community.
On this page, you will find two key resources explaining how Springer operates and what you can expect as an author.

Springer Nature Publication Process Overview

• Book publishing: How to prepare and submit a complete book proposal, including expectations around content, structure, and peer review.
• Journal publishing: Guidelines for submitting to Springer journals, with emphasis on quality control and avoiding predatory practices.
• Open Access options: Details on Gold and Green OA models, associated fees, and the institutional or funder support mechanisms available.
• Funding assistance: Springer Nature’s dedicated service to help authors secure APC/BPC funding, including personalized advice and policy guidance.

This resource is particularly helpful for researchers considering both traditional and open access routes.
> Download the presentation.

AI Ethics and Policy at Springer Nature

As AI tools become increasingly embedded in research workflows, Springer Nature has taken a leadership role in defining clear AI Ethics and Policy principles. The one-page summary document outlines Springer’s responsible use of AI across its editorial and technological operations.
Key principles include:

• Dignity and Minimizing Harm: Prioritizing human well-being and avoiding environmental or social harm.
• Fairness and Equity: Reducing structural bias and ensuring inclusive access.
• Transparency: Clear disclosures when AI tools are used, especially in manuscripts.
• Accountability: Ensuring humans—not AI—retain responsibility for authorship and editorial decisions.
• Privacy and Data Governance: Strict adherence to data protection laws.

It also includes best practices for using AI tools responsibly in research and publishing (e.g., avoiding sensitive data in prompts and testing outputs for ethical soundness).
> Download the policy overview.