Sinop University Social Sciences Journal supports the principles of Open Science and encourages authors to share the research data, software, code, and other materials underlying their publications whenever ethically, legally, and contractually possible. The journal believes that responsible data sharing enhances the transparency, reproducibility, and long-term value of scholarly research.
1. Data Availability Statement
Authors are encouraged to include a Data Availability Statement in their manuscripts whenever applicable.
The statement should specify:
- where the research data are stored;
- how the data can be accessed;
- any conditions or restrictions on access.
If the data cannot be shared due to privacy concerns, confidentiality obligations, legal restrictions, ethical considerations, or intellectual property rights, authors should clearly explain the reasons in the manuscript.
2. Data Repositories
Authors are encouraged to deposit research data in reliable and sustainable repositories that ensure long-term preservation and accessibility.
Recommended repositories include:
- Crossref Metadata;
- Figshare;
- Open Science Framework (OSF);
- institutional repositories;
- other trusted subject-specific data repositories.
3. Data Citation
Datasets that are publicly available and used in the research should be cited in the reference list in accordance with accepted citation standards.
Whenever possible, data citations should include a persistent identifier such as a Digital Object Identifier (DOI) or a permanent URL.
Example of a Data Citation
Author(s). (Year). Title of Dataset [Data set]. Repository Name. DOI
4. Authors' Responsibilities
Authors are responsible for:
- ensuring the accuracy and integrity of shared research data;
- complying with applicable intellectual property and copyright requirements;
- anonymizing personal or sensitive data where necessary;
- obtaining ethics committee approval and participant consent where required before sharing research data.
5. FAIR Data Principles
Sinop University Social Sciences Journal encourages authors to manage and share research data in accordance with the FAIR Data Principles, ensuring that data are:
- Findable;
- Accessible;
- Interoperable;
- Reusable.
Adherence to the FAIR principles promotes transparency, reproducibility, and the long-term accessibility of scientific research.
