Data Availability

The International Journal of Data-Driven Management and Business Strategy encourages responsible data sharing to improve research transparency, reproducibility, and scholarly integrity. The journal's scope includes data-driven business decision-making and strategic management research.

1. Data Sharing

Authors are encouraged to make the research data supporting their findings available whenever it is ethically, legally, and practically possible. Data may be deposited in a suitable public or discipline-specific repository.

2. Data Availability Statement

Authors should include a Data Availability Statement in their manuscript explaining whether the data supporting the research are available and, where applicable, how readers can access them.

3. Publicly Available Data

Where data are publicly available, authors should provide the repository name, DOI, persistent identifier, or access link.

Example:

“The data supporting the findings of this study are openly available in [Repository Name] at [DOI/Identifier].”

4. Data Available on Request

Where data cannot be publicly deposited but can reasonably be shared, authors may state:

“The data supporting the findings of this study are available from the corresponding author upon reasonable request.”

5. Restricted or Confidential Data

Data involving personal information, confidential business information, proprietary datasets, contractual restrictions, or legal/ethical limitations may not be publicly available. Authors should explain the applicable restriction and, where possible, describe the procedure for obtaining controlled access.

6. Third-Party Data

If research uses data obtained from a third party, authors should identify the source and clearly state any applicable access or licensing restrictions.

7. No New Data

For articles that do not generate or analyze new research data, authors may use a statement such as:

“No new data were created or analyzed in this study.”

8. Data Integrity and Documentation

Authors are responsible for ensuring that shared datasets are accurate, appropriately documented, and consistent with the research presented in the article. Where applicable, associated code, analytical materials, or supplementary data may also be shared to support reproducibility.

9. Ethical and Legal Requirements

Data sharing must comply with applicable privacy, confidentiality, copyright, licensing, ethical, and legal requirements. Sensitive or identifiable participant data should not be publicly released where doing so would compromise participant privacy or violate applicable requirements.