Introduction: Data openness policies, such as the Linking Data Policy and Sharing Data Policy, are essential tools for promoting the principles of open science. They enhance the transparency, reproducibility, and accessibility of scientific data, which is particularly relevant in the context of growing interest in open science and the need to address global challenges.

Purpose: To analyze data openness policies, identify their advantages and challenges, and develop recommendations for their implementation.

Materials and Methods: The study was based on an analysis of editorial policies and author guidelines from leading journals, as well as the principles of FAIR (Findable, Accessible, Interoperable, Reusable). Examples of successful implementation of data openness policies were reviewed, and key challenges associated with their adoption were identified.

Results: Data openness policies enhance the transparency and reproducibility of research, accelerate scientific discoveries, and strengthen trust in scientific results. However, their implementation faces several challenges, including a lack of skills among researchers, data confidentiality issues, and the need for significant resources. Based on the analysis, recommendations for implementing such policies were developed, including the creation of author guidelines, the selection of repositories, integration with manuscript submission systems, and researcher training.

Conclusion: The adoption of Linking Data Policy and Sharing Data Policy represents an important step toward open science but requires careful planning and consideration of various aspects. While the benefits of these policies are evident, their implementation involves significant challenges. Successful adoption necessitates providing training for researchers, collaborating with repositories, developing standards, and offering adequate support.