DATA SHARING POLICY

This policy explains how authors of TOBA: Journal of Tourism, Hospitality, and Destination, published by Yayasan Literasi Sains Indonesia, make the data and the materials behind their results available, and how they protect the people who take part in their research.

Research in tourism and hospitality often involves tourists, hotel guests, residents, employees, businesses, and local communities. The journal therefore balances openness with the protection of participants.

Policy at a Glance

Question	Answer
Basis of the policy	Data and materials are shared upon reasonable request.
Data Availability Statement	Required for every research article.
Where the statement is placed	In the Acknowledgments, together with the funding statement and the competing interests statement.
Deposit in a repository	Not required, but encouraged when it is ethically appropriate.
Sharing data about participants	Only when it is ethically appropriate, when the participants cannot be identified, and when their consent allows it.
Peer review of data	Datasets are not peer reviewed. Authors are responsible for the soundness of their data.

Collect responsibly → Protect participants → Share what is ethical → State availability

1Policy Basis

Topic	Policy
Sharing on request	By submitting a manuscript, authors agree to make the supporting data and materials available to other researchers on reasonable request.
Reasonable requests	Authors decide whether a request is reasonable. They consider the purpose of the request and the protection of the participants.
Access for editors	This policy does not limit the access of the editors. Authors must provide the data to the editors during the review, or after publication when a concern about integrity is examined under the Allegations of Misconduct policy.
Keeping data	Authors should keep their data for a reasonable period after publication.

2Data Availability Statement

Every research article must include a Data Availability Statement. The manuscript template has no separate section for it. Place it in the Acknowledgments, together with the funding statement and the competing interests statement (see Conflicts of Interest, Manuscript Preparation, and Author Guidelines).

2.1 What the statement should cover

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

2.2 Sample statements

Situation	Sample wording
Available on request	The data that support the findings of this study are available from the corresponding author on reasonable request.
Deposited in a repository	The data that support the findings of this study are openly available in [name of repository] at [DOI or link].
Not available	The data are not publicly available because they could identify the participants, and the participants did not consent to the sharing of their data. [Describe any supplementary guide or other way of access.]
Included in the article	All the data that support the findings of this study are included in the article and in its supplementary files.

3Citing Data

Topic	Policy
Which data to cite	Authors must cite the datasets that they use or refer to. This includes their own datasets that have been deposited and data from other sources.
Where to cite	Cite a dataset in the reference list, in the format that is described in Manuscript Preparation, with a DOI or a persistent link where one is available.
Data from other sources	For data such as national or regional tourism statistics, reports of a tourism office, or records of a hotel, name the source and describe the conditions of access.

4Ethical Limits and Participant Protection

Topic	Policy
Ethically appropriate sharing	Share data only when it is ethically appropriate. Sharing is not required if it would breach the protection of participants or raise concerns about ethics, privacy, or security.
Consent	The consent of the participants must be respected. For minors, the permission of a parent or a guardian must cover how the data are used and shared.
Confidentiality	Data about participants must be kept confidential (see Publication Ethics).
Generative AI	Personal data about participants must not be uploaded to generative AI tools (see Generative AI Policies).

4.1 Handling by type of data

Type of data	How to handle it
Responses to surveys and questionnaires	Share the data in anonymized form. Remove names, telephone numbers, email addresses, identity numbers such as NIK, and other direct identifiers. Check whether small groups, or a combination such as destination, hotel, age, nationality, and occupation, could identify a person.
Interviews, focus groups, and recordings	These are usually not shared in full. Share anonymized excerpts, the coding scheme, or the interview guide. Share a recording only with the clear consent of the participants.
Online and social media data	Reviews and posts on online platforms may be subject to the terms of the platform and to the privacy of its users. Share them only if this is allowed. Otherwise describe how the data were collected, and give the search terms and the dates.
Data of businesses and destinations	Data such as visitor numbers, occupancy rates, or revenue may be shared only if the owner of the data has agreed, or if the data cannot identify a business or a person.
Community and heritage data	Knowledge and information from local communities or from cultural heritage sites are shared only with the permission of the people concerned, and with respect for their rights and cultural values.
Research instruments	Questionnaires, interview guides, observation sheets, and scales are encouraged as supplementary material if the authors hold the right to publish them. Third party material is covered on the Licensing page.
Analysis scripts and software	Sharing is encouraged, so that others can verify and replicate the analysis.

5Repositories and Licenses

Topic	Policy
Deposit	Authors are encouraged to deposit data that can be shared in a trusted repository that assigns a persistent identifier such as a DOI. Examples are Zenodo, the Open Science Framework, Figshare, Mendeley Data, and the institutional repository of the author.
License of the data	Authors should attach a clear license to the data that they deposit, so that the terms of reuse are known.
License of the journal	The CC BY 4.0 license of the journal applies to the published article. It does not apply automatically to datasets that are held elsewhere (see Licensing).

6Information at Submission

Topic	What authors do
Dataset	State whether a dataset is associated with the manuscript.
Identifier	If there is one, give a DOI, the DOI of a preregistered deposit, a hyperlink, or another persistent identifier. Give it in the comments to the editor and in the Data Availability Statement.
Preregistered deposit	Authors who give the DOI of a preregistered deposit must provide a URL for the reviewers if the reviewers ask for it.
Supplementary files	Upload the supplementary files together with the manuscript.

7Review and Responsibility

Topic	Policy
Peer review of data	Datasets are not formally peer reviewed. Authors are responsible for the soundness of their data, and errors in the data rest with the people who produced them.
Requests by reviewers	Reviewers may ask for data or materials that they need to evaluate the manuscript (see the Peer Review Process).
Errors after publication	A significant error in the data that is found after publication is handled under the Correction and Retraction policy.
False statements and withheld data	A Data Availability Statement that is false, or data that are withheld without a legitimate reason when the editors ask for them, may be handled under the Allegations of Misconduct policy.

Related Policies

Topic	Policy
Preparation of manuscripts	Manuscript Preparation and Author Guidelines
Ethical standards	Publication Ethics
Originality and research integrity	Plagiarism and Research Integrity Policy
Competing interests and funding statements	Conflicts of Interest
Generative AI	Generative AI Policies
License and reuse	Licensing