Open Data and FAIR Data Policy
Open Data Policy
The journal “Social Development and Security” supports the principles of Open Science and adheres to the FAIR Data standards (Findable, Accessible, Interoperable, Reusable). The purpose of this policy is to enhance the transparency, reliability, and reproducibility of published research.
Key principle: authors must ensure appropriate access to research data unless restricted by ethical, legal, or security considerations.
1. General Provisions
This policy applies to manuscripts reporting empirical, experimental, computational, or applied research. It defines requirements for data sharing, description, citation, and long-term preservation.
2. Research Data Policy
- Authors submitting manuscripts based on empirical or computational research must ensure access to the datasets used or generated.
- Data should be deposited in an open, national, international, or institutional repository that supports persistent identifiers (DOI, Handle, ARK).
- Authors are encouraged to specify open-access licenses such as CC BY or CC0.
- If open access to data is not possible due to ethical, legal, or security reasons, authors must clearly justify this in the manuscript.
3. Data Availability Statement
All manuscripts based on empirical data must include a Data Availability Statement specifying:
- repository name;
- DOI or other persistent identifier;
- access type (open / restricted / upon request);
- data usage license.
Examples:
- “The data supporting this study are available in the Zenodo repository, DOI: 10.5281/zenodo.1234567, under a CC BY 4.0 license.”
- “The data cannot be publicly shared due to participant confidentiality but are available from the corresponding author upon reasonable request.”
- “No external datasets were used in this study.”
4. Recommended Repositories
- International: Zenodo, Figshare, Dryad, OSF.
- National: NAES Repository, Vernadsky National Library of Ukraine.
- Institutional: repositories of universities and research institutions.
5. Metadata and Data Structure
Authors should use open formats (CSV, JSON, XML, TXT) and provide a README file describing:
- data structure and logic;
- variable definitions and units of measurement;
- data collection and processing methods;
- guidelines for reuse.
Metadata must comply with international standards such as Dublin Core and DataCite Metadata Schema.
6. Data Citation
All datasets with persistent identifiers must be cited in the reference list according to the DataCite standard.
7. Archiving and Preservation
The journal supports long-term preservation of publications and datasets in repositories ensuring persistent access and identifiers.
8. Ethical Considerations
Authors must comply with confidentiality, data protection, and intellectual property requirements. Any restrictions must be clearly justified.
9. Editorial Control
- verification of Data Availability Statement;
- validation of dataset identifiers;
- request for data confirmation if needed.
10. International Standards
This policy is based on FAIR Data principles and recommendations of COAR, DataCite, and OpenAIRE.
Note: Authors are responsible for the accuracy, completeness, and ethical compliance of shared data.










