- HOME
- ABOUT
- CURRENT
- ARCHIVES
- FOR AUTHORS
- FOR REVIEWERS
-
POLICIES
Publication Ethics & Malpractice Statement (PEMS) Plagiarism & Similarity Policy Conflict of Interest Policy Data Sharing & Availability Policy AI Use Policy Peer Review Policy Section Policy Copyright & Licensing Open Access Policy Retraction & Correction Policy Complaints & Appeals Policy Archiving Policy
- OJS USER GUIDE
- ANNOUNCEMENTS
Data Sharing & Availability Policy
Transparency in data is fundamental to research credibility, reproducibility, and scientific progress. The Celebes Nursing Journal (CNJ) promotes responsible data sharing in alignment with the FAIR Principles Findable, Accessible, Interoperable, and Reusable and COPE best-practice guidelines for data integrity. This policy ensures that authors provide clear, accurate, and ethical information regarding the availability and accessibility of the data underlying their research.
All research manuscripts submitted to CNJ must include a Data Availability Statement (DAS) describing where the data can be accessed, conditions for use, or reasons for unavailability. Authors are encouraged to deposit data in reputable, open, and persistent repositories that support long-term preservation. When legal, ethical, or privacy limitations apply, authors must explicitly state the nature of restrictions and ensure compliance with informed consent and institutional regulations.
Sharing data does not require disclosure of sensitive personal information; instead, CNJ emphasizes anonymization, controlled access, and ethical justification for any withheld datasets. Misrepresentation of data availability or providing inaccessible datasets constitutes research misconduct.
By implementing this policy, CNJ strengthens scientific integrity, promotes reproducibility, and aligns with global standards for transparent and responsible data stewardship.
1. Data Sharing & Availability Policy
Data availability is a cornerstone of scholarly integrity, allowing independent verification, enabling secondary analyses, and enhancing the usefulness of published research. The CNJ is committed to advancing transparency and reproducibility by promoting responsible data sharing practices that respect ethical, legal, and privacy considerations. This policy is grounded in the FAIR Principles (Findable, Accessible, Interoperable, Reusable) and informed by the Committee on Publication Ethics (COPE) data best-practice guidelines.
All authors must provide a clear, complete, and accurate statement regarding the availability of data used in their study. CNJ encourages the deposition of datasets in trusted repositories and supports controlled-access mechanisms when public sharing is not appropriate.
2. Definitions and Scope
This policy applies to all empirical research submitted to CNJ, including quantitative, qualitative, mixed methods, experimental, and observational studies. Data sharing requirements include:
- Raw data (where appropriate)
- Processed or aggregated data
- Statistical analysis scripts
- Interview transcripts (anonymized)
- Survey instruments
- Metadata, codebooks, or documentation
“Data” refers to any information necessary to understand, verify, or reproduce published results.
This policy does not mandate the sharing of identifiable personal data, protected health information, or materials restricted by law or institutional regulation. However, authors must articulate these restrictions within the DAS.
3. Data Availability Statement (DAS)
A Data Availability Statement ensures transparency by informing readers about the location, accessibility, and conditions of the data underlying the study’s results. Every research article submitted to CNJ must include a DAS.
Required Elements of DAS
The following elements must be clearly stated:
- Repository Location: Where the dataset is stored
- Access Conditions: Open, restricted, embargoed, or by request
- Licensing Terms: Open licenses, usage permissions
- Justifications: For data not shared or partially shared
Acceptable DAS Examples
Open Data: “The datasets generated and/or analyzed during this study are available in the Zenodo repository, accessible via DOI: XXXXX.”
Restricted Access (Ethical/Legal): “Due to confidentiality and patient-privacy restrictions, the data supporting this study cannot be made publicly available. De-identified data may be requested from the corresponding author with institutional approval.”
Fully Included in Article: “All data supporting the findings of this study are included within the article and its supplementary materials.”
No Data Generated: “No datasets were generated or analyzed during this study.”
Misrepresentation
Providing false or misleading DAS information constitutes publication misconduct and may result in:
- Manuscript rejection
- Corrections or retractions
- Reporting to authors’ institutions
4. Preferred Data Repositories
CNJ encourages authors to deposit their data in reputable, stable, and persistent repositories that provide long-term access and digital preservation. Authors should choose repositories that assign persistent identifiers (e.g., DOI).
Recommended Repositories
- Zenodo: https://zenodo.org
- Open Science Framework (OSF): https://osf.io
- Figshare: https://figshare.com
- Institutional Repositories: university- or institution-managed archives
- National Repositories: where available and discipline-specific
Repository Requirements
Repositories must:
- Support long-term preservation
- Provide persistent identifiers
- Allow clear metadata and documentation
- Ensure controlled-access features when needed
- Comply with data security and privacy standards
5. Ethical and Legal Constraints
Data sharing must respect participant rights and comply with ethical, legal, and regulatory frameworks. CNJ requires that authors follow applicable institutional, national, and international guidelines governing human research data.
Privacy and Confidentiality
Authors must ensure:
- Data are fully anonymized
- Direct and indirect identifiers are removed
- Re-identification risk is minimized
- Sensitive personal data are not exposed
Informed Consent
If data sharing was not included in participant consent, authors must:
- Provide restricted-access sharing mechanisms
- Justify any limitations within the DAS
- Demonstrate compliance with institutional ethics boards
Legal Restrictions
Data subject to legal protections (e.g., health privacy laws, clinical governance rules) must be handled in accordance with relevant regulations and documented accordingly.
6. Data Integrity and Documentation
Transparent and interpretable datasets require clear documentation. CNJ expects authors to provide sufficient information to enable other researchers to understand and reuse the shared data.
Authors Should Provide:
- Metadata and variable dictionaries
- Codebooks, data dictionaries, and questionnaires
- Scripts or code (R, Python, SPSS, Stata) used in analyses
- Detailed description of data cleaning or processing steps
- Versioning information for updated datasets
Data Must Correspond to the Article
Shared data should reflect:
- The results reported
- The analysis described
- The sample outlined in the Methods section
Failure to provide consistent data may trigger editorial investigations.
7. Journal Responsibilities
CNJ ensures oversight and accountability in the implementation of data sharing practices. The journal evaluates DAS statements, monitors compliance, and intervenes when inconsistencies arise.
Editorial Responsibilities Include:
- Verifying that a DAS is provided for all research articles
- Reviewing the accuracy and completeness of DAS statements
- Requesting clarification from authors when needed
- Ensuring repository links and DOIs are active and functional
- Applying COPE procedures when data cannot be accessed as described
8. Non-Compliance and Corrective Actions
Failure to comply with data sharing requirements undermines transparency and may constitute research misconduct.
Potential Actions
- Request for DAS revision prior to review
- Request for dataset deposition before acceptance
- Publication of a correction regarding data availability
- Retraction for serious misrepresentation
- Institutional notification
For reviewers and editors, misuse or mishandling of data may result in removal from editorial or reviewer roles.
9. Policy Review and Updates
This policy is reviewed regularly to ensure alignment with evolving standards from COPE, ethical bodies, and international best practices in data stewardship.