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SCI

How to Reject a Request for Raw Data in an SCI Journal Submission

Gatsbi Team

Submitting your research to an SCI journal often comes with the expectation of sharing raw data. However, there are valid reasons why you might not be able to provide this data. Whether due to errors in the data, privacy agreements, or proprietary concerns, you may need to reject such a request. Here's how to navigate this sensitive situation.

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Reasons for Not Providing Raw Data

  1. Errors in the Data: Sometimes, the raw data may contain inaccuracies or inconsistencies that could mislead reviewers or readers. If your data is flawed, it may be best to withhold it until it can be corrected.
  2. Concerns About Data Integrity: In some cases, you might believe that the data has been falsified or manipulated. If you cannot guarantee the authenticity of your raw data, refusing to provide it is a reasonable option.

How to Politely Reject the Request

Here’s an example of how you might politely but firmly reject a request for raw data in a professional and respectful manner:

"We express our sincere gratitude for the editor's diligent attention and acknowledgment of our research endeavors. We fully acknowledge the significance of data sharing as stipulated by SCI journals. However, owing to the policies and confidentiality agreements adhered to in our laboratory, we regret that we fully cannot furnish the raw data. Nevertheless, we have meticulously presented a comprehensive account of the experimental design, analysis, results, and the procedures employed for data analysis and processing. Should the esteemed editor and reviewers require further elucidation or specific inquiries pertaining to the data, we pledge our utmost commitment to providing detailed explanations and clarifications."

By acknowledging the editor's request, explaining the reasons behind your inability to provide raw data, and offering to clarify any further details, you maintain professionalism and integrity in the process.

Conclusion

Rejecting a request for raw data is delicate, but it is sometimes necessary for the protection of privacy, proprietary interests, or the integrity of your research. Communicating your decision in a clear and respectful manner is key to maintaining a positive relationship with journal editors and reviewers while upholding the integrity of your work.

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