TAZKIYA Journal of Psychology, published by the Faculty of Psychology, Syarif Hidayatullah State Islamic University of Jakarta, supports transparency, research integrity, responsible data sharing, and the reproducibility of psychological research. This policy establishes guidance for authors on the availability, accessibility, documentation, and responsible reuse of research data associated with manuscripts submitted to or published in the journal.

The journal recognizes that research data in psychology may involve personal information, sensitive experiences, psychological assessments, confidential institutional records, and other information that requires appropriate protection. Accordingly, data sharing should be pursued in a manner that balances scientific transparency with participants' rights, confidentiality, informed consent, and applicable ethical and legal requirements.

1. Data Availability Statement

Authors are encouraged to include a clear and accurate Data Availability Statement in their manuscripts. The statement should explain whether the data supporting the findings are available, where they can be accessed, and under what conditions they may be obtained or reused.

Where applicable, the statement should identify the repository, persistent identifier such as a DOI, access restrictions, and any requirements for obtaining the data. Authors must ensure that the statement accurately reflects the actual status of their research data.

Examples of Data Availability Statements include:

Authors should select or adapt the statement that accurately describes their study. A statement must not claim that data are publicly available when they have not been deposited in an accessible repository or when access is subject to restrictions.

2. Scope of Research Data

Research data may include, where relevant and ethically permissible:

• De-identified or aggregated survey and questionnaire data.
• Experimental data and behavioral observations.
• Psychometric data supporting scale development, adaptation, validation, and reliability testing.
• Codebooks, variable descriptions, measurement instruments, and data dictionaries.
• Statistical analysis scripts, computational procedures, and relevant supplementary materials.
• Other materials reasonably necessary to understand, evaluate, or reproduce the reported findings.

The appropriate scope of shared data depends on the research design, the nature of the information collected, the consent provided by participants, and applicable ethical and legal restrictions. Authors are not required to disclose materials that cannot lawfully or ethically be shared.

3. Data Repositories and File Formats

Authors are encouraged to deposit shareable research data in reliable repositories that support persistent identification, appropriate access controls, long-term availability, and clear documentation. Suitable repositories may include institutional repositories or established disciplinary and general-purpose research data repositories, such as:

• Zenodo
• Dataverse and relevant Dataverse repositories.
• Open Science Framework (OSF)
• Recognized institutional repositories or other appropriate repositories relevant to the study.

Whenever practical, datasets should be provided in widely used, documented, and interoperable formats, such as CSV, TXT, JSON, or other formats appropriate to the data. Statistical files in formats such as SPSS, Stata, or R may also be provided when useful, preferably accompanied by a more accessible data export and relevant documentation.

Shared datasets should include sufficient metadata, variable definitions, coding information, and methodological documentation to support responsible interpretation and reuse. Authors should verify that repository links and identifiers are accurate and accessible.

4. Ethical Considerations and Participant Confidentiality

Research involving human participants must comply with applicable ethical standards, institutional requirements, informed consent conditions, and relevant data protection laws and regulations. Data sharing must not undermine participants' rights, safety, privacy, or confidentiality.

Authors should take appropriate steps to remove direct identifiers and assess the risk of re-identification before sharing datasets. Depending on the research context, aggregation, de-identification, restricted access, or controlled data access may be necessary. Removing names alone may not be sufficient when combinations of demographic, occupational, clinical, or other characteristics could identify an individual.

Particular care is required for data concerning mental health, clinical assessments, psychological test responses, trauma, workplace experiences, vulnerable populations, and other sensitive subjects. Raw data, recordings, transcripts, or psychological assessment materials must not be publicly disclosed when doing so would violate consent conditions, confidentiality obligations, test security, intellectual property rights, or applicable regulations.

Authors are responsible for determining whether the consent obtained from participants permits the proposed sharing and reuse of data. Where public sharing is not permitted, authors should explain the restriction in their Data Availability Statement and, where feasible, indicate whether controlled access may be considered.

5. Data Ownership, Third-Party Materials, and Intellectual Property

Authors must ensure that they have the necessary rights and permissions to share research data and associated materials. Data obtained from third parties, organizations, commercial providers, licensed databases, or proprietary psychological assessment instruments may be subject to additional restrictions.

Authors must not deposit or distribute third-party materials, copyrighted instruments, restricted assessment content, confidential organizational records, or other protected information without appropriate authorization. Where only part of a dataset may be shared, authors should make the shareable portion available where feasible and explain the restrictions affecting the remaining materials.

6. Data Citation and Acknowledgment

When research data are deposited in a repository, authors should provide a persistent link or DOI in the manuscript's Data Availability Statement and cite the dataset in accordance with the repository's recommended citation format. Dataset citations should identify the creators, publication year, dataset title, repository, and persistent identifier where available.

Researchers reusing publicly available datasets must acknowledge and cite the original data creators and comply with the dataset's license, terms of use, and access conditions. Appropriate data citation supports attribution, traceability, and responsible scholarly reuse.

7. Data Verification and Editorial Oversight

During editorial assessment or peer review, the editorial team may request reasonable access to relevant underlying data, analytical documentation, research materials, or supplementary information when necessary to assess the validity, transparency, and integrity of a manuscript.

Any request for research data must be handled in accordance with confidentiality obligations, participant protection requirements, intellectual property rights, and applicable ethical standards. Editors and reviewers must use any data supplied to them solely for the legitimate evaluation of the manuscript and must not disclose or reuse confidential materials without authorization.

If concerns arise regarding data availability, data consistency, research integrity, or the accuracy of a Data Availability Statement, the editorial team may request clarification, supporting documentation, or appropriate corrections. Depending on the circumstances, editorial actions may include manuscript revision, suspension of the editorial process, rejection, publication of a correction, or further action under the journal's publication ethics and retraction policies.

8. Access Restrictions and Exceptions

TAZKIYA Journal of Psychology recognizes that unrestricted public access is not appropriate for every dataset. Restrictions may be justified by participant confidentiality, informed consent limitations, ethical approval conditions, legal obligations, contractual commitments, third-party rights, security considerations, or the protection of sensitive research materials.

Where data cannot be shared publicly, authors should provide a transparent explanation in their Data Availability Statement. When appropriate and feasible, controlled access may be considered through a responsible data custodian or the corresponding author, subject to reasonable verification of the request, necessary permissions, and applicable safeguards.

Requests for temporary embargoes may be considered when justified by legitimate circumstances, such as contractual obligations, coordinated release arrangements, or the protection of intellectual property. Authors should specify the rationale and anticipated duration. An embargo does not override participant rights, consent conditions, legal obligations, or other restrictions on disclosure.

9. Responsible Data Reuse and Open Science

The journal encourages responsible research practices that improve the discoverability, accessibility, interoperability, and reusability of research data when appropriate. Authors are encouraged to provide sufficient documentation to support the interpretation of their findings and, where feasible, facilitate verification and further scientific investigation.

Data sharing does not automatically authorize unrestricted reuse. Users must respect the applicable license, attribution requirements, access conditions, privacy safeguards, and restrictions associated with the dataset. Secondary analyses must be conducted responsibly and must not attempt to identify participants or use the data in ways inconsistent with the original consent or applicable ethical requirements.

10. Author Responsibilities

Authors submitting manuscripts to TAZKIYA Journal of Psychology are expected to:

• Provide an accurate Data Availability Statement when applicable.
• Ensure that data sharing complies with ethical approval, informed consent, confidentiality, and legal requirements.
• Make eligible supporting data and documentation accessible where feasible.
• Use appropriate repositories and provide persistent identifiers when available.
• Explain restrictions that prevent public access to research data.
• Ensure that shared data are sufficiently documented and accurately represented.
• Correct inaccurate data availability information and cooperate with reasonable editorial inquiries concerning research data.

11. Relationship with Other Journal Policies

This policy should be read together with the journal's publication ethics, peer review, open access, copyright, plagiarism, and retraction policies. Data sharing requirements must be interpreted consistently with the journal's commitment to research integrity, responsible publication, and the protection of research participants.

For further information, please consult the relevant policies:

• Publication Ethics
• Peer Review Process
• Open Access Policy
• Copyright Notice
• Plagiarism Notice
• Retraction Policy

12. Policy Implementation and Review

The editorial team is responsible for implementing this policy consistently and fairly. The policy may be reviewed periodically to reflect developments in research data management, open science, publication ethics, data protection, and disciplinary best practices.