DATA SHARING POLICY

This policy explains how authors of Jurnal Manajemen make their data and research materials available, and how they protect the people and the organizations that take part in the research. In management research the participants are often respondents, employees, informants, managers, and organizations. Openness must be balanced with the protection of these participants.

DATA SHARING AT A GLANCE
Basis of the policy	Sharing upon reasonable request
Data Availability Statement	Required for every research article
Where the statement goes	In the Acknowledgments subsection of section 5 (Conclusion) of the article
Deposit in a repository	Not required, but encouraged when it is ethically appropriate
Data of participants	Can be shared only when it is ethically appropriate, when the participants cannot be identified, and when their consent allows it
Peer review of data	No. The authors are responsible for the soundness of their data
Questions	jurnal.mamen@gmail.com

1. Policy Basis

No.	Rule
1	When authors submit a manuscript, they agree to share the supporting data and materials with other researchers on reasonable request.
2	The authors judge whether a request is reasonable. They consider its purpose and the protection of the participants.
3	The editors have independent access. The authors must provide data when the editors ask for them during the review, or after publication when a concern about integrity is examined under the policy on Allegations of Misconduct.
4	The authors should keep their data for a reasonable time after publication.

2. Data Availability Statement

Every research article must include a Data Availability Statement. The article template does not have a separate section for it. Write it in the Acknowledgments subsection of section 5 (Conclusion), together with the funding statement and the competing interests statement. See Conflicts of Interest.

2.1 What the statement must say

No.	Item	Content
1	Availability	Whether the supporting data and materials are available.
2	Where and how	Where and how they can be obtained, for example in a repository with a persistent identifier, in supplementary files, or from the corresponding author.
3	Reason	When the data cannot be shared, the reason, for example the protection of participants, the conditions of consent, or the restrictions of a company or an institution.

2.2 Examples of statements

Situation	Example
Available on request	The anonymized dataset of the survey responses is available from the corresponding author on reasonable request.
Deposited in a repository	The dataset and the research instruments are available in [name of the repository] at [DOI or persistent link].
Not available: participants	The recordings and the transcripts of the interviews cannot be shared, because the participants did not consent to their release and could be identified from the content. The interview guide is provided as supplementary material.
Not available: company data	The financial records of the company cannot be shared, because they are confidential under the agreement with the company.
Included in the article	All the data that support the findings are presented in the article.

Replace the words in brackets with the real details, and write the statement so that it matches the facts.

3. Citing Data

No.	Rule
1	Cite every dataset that you use or refer to. This includes your own data that you deposited, and data of other parties.
2	Add the citation of a dataset to the list of references in the format of the journal, with a DOI or a persistent link when there is one. See the Manuscript Preparation page.
3	For an external source, for example national or regional statistics such as BPS data, the financial statements of listed companies, or an existing database, name the source and describe the conditions of access.

4. Ethical Limits and Protection of Participants

No.	Rule
1	Share data only when it is ethically appropriate. Authors do not need to share data when this would break the protection of human participants, or would raise concerns about ethics, privacy, or security.
2	Respect the consent that the participants gave.
3	When participants are minors, the permission of a parent or a guardian must cover how the data are used and shared.
4	Handle all data of participants confidentially. See Publication Ethics.
5	Do not upload personal data of participants to generative AI tools. See Generative AI Policies.

4.1 How to handle each type of data

Type of data	How to handle it
Questionnaire responses and scale scores	Share them anonymized. Remove names, employee numbers, identity numbers, email addresses, and other direct identifiers. Check whether small groups, rare traits, or a combination of company, department, position, and age could allow a person to be identified.
Interviews, focus groups, and recordings	These are usually not shared in full. Share anonymized excerpts, the coding scheme, or the interview guide instead. Share recordings only when the participants clearly consented.
Research instruments	Questionnaires, measurement scales, interview guides, observation sheets, and case protocols are encouraged as supplementary material, if the authors hold the right to publish them. See the section on third party material in Licensing.
Analysis scripts and software	Sharing is encouraged, so that other people can check and repeat the analysis.
Data of companies and organizations	Share them only when the organization allows it and the organization and its people cannot be identified, or when the organization agreed to be named. Confidential business data, for example internal financial records, must not be shared without permission.

5. Repositories and Licenses for Data

No.	Rule
1	Authors are encouraged to deposit data that can be shared in a trusted repository that gives a persistent identifier, such as a DOI.
2	Examples of repositories are Zenodo, Open Science Framework, Figshare, Mendeley Data, and the institutional repository of the author.
3	A deposit is not mandatory under this policy.
4	Deposited data should carry a clear license, so that the terms of reuse are known.
5	The CC BY 4.0 license of the journal covers the published article only. It does not cover datasets that are kept elsewhere. See Licensing.

6. Information at Submission

No.	Rule
1	When you submit the manuscript, state whether a dataset is associated with it.
2	If there is one, give a DOI, a preregistered DOI, a hyperlink, or another persistent identifier.
3	Write this information in the field for comments to the editor in OJS, and in the Data Availability Statement.
4	An author who gives a preregistered DOI must supply the URL of the data deposit for reviewers when the reviewers ask for it.
5	Upload supplementary files together with the manuscript. See part H (Supplementary Material) of the Manuscript Preparation page.

7. Review and Responsibility

Topic	Rule
Peer review of data	Datasets are not peer reviewed formally as part of the review of a manuscript.
Responsibility	The authors are responsible for the soundness of their data. Errors in data are the responsibility of the producers of the data.
Requests of reviewers	Reviewers may ask for the data or the materials that they need to evaluate the manuscript.
Errors after publication	A significant error in data that is found after publication is handled under the policy on Correction and Retraction.
False statements	A false Data Availability Statement, or withholding data without a legitimate reason when the editors ask for them, can be handled under the policy on Allegations of Misconduct.

Related Pages and Enquiries

Topic	Page
Preparation of the manuscript and citation of data	Manuscript Preparation
Standards of ethics and confidentiality	Publication Ethics
Originality and research integrity	Plagiarism and Research Integrity Policy
License of the articles	Licensing
Use of generative AI with data	Generative AI Policies