Data Archiving & Permissions
Ensuring transparency and reproducibility in psychological research.
Fostering Open Behavioral Science
JHP is committed to Open Science principles. We encourage authors to make research data openly available while maintaining the highest standards of participant privacy.
Our archiving policy requires authors to be proactive in managing, sharing, and protecting the empirical data that supports their findings. JHP adheres to the FAIR principles (Findable, Accessible, Interoperable, Reusable) for scientific data.
All empirical manuscripts must include a mandatory Data Availability Statement (DAS). This should detail where the supporting data can be found. If data cannot be shared due to ethical or legal restrictions, this must be explicitly justified.
- "The data are openly available in the Open Science Framework (OSF) at [DOI/URL]."
- "Raw data are not publicly available due to participant confidentiality but are available upon reasonable request."
- "All data analyzed are included in this published article and its supplementary material."
We recommend archiving data in stable repositories that provide a Digital Object Identifier (DOI):
Psychology Specific
- PsychArchives
- Open Science Framework (OSF)
- ICPSR (Social Science)
General Purpose
- Zenodo (CERN)
- Figshare
- Dryad Digital Repository
Protecting the privacy of human participants is JHP's highest ethical priority. Authors must ensure:
- Anonymization: All datasets must be fully de-identified before archiving.
- Consent: Informed consent signed by participants must specifically mention data sharing.
- Sensitive Data: Use "Controlled Access" repositories where users must apply to access data.
If your manuscript includes material (figures, tables, or text) previously published by others, you are responsible for obtaining written permission from the original copyright holder during submission. All third-party material must be clearly cited in captions.
JHP encourages sharing custom analysis scripts (R, Python, SPSS syntax) used to generate results. Providing code alongside your data significantly increases the transparency and peer-review quality of your research.
Questions Regarding Data Sharing?
Our editorial office can provide guidance on de-identification and repository selection.
Journal of Human Psychology (JHP) © 2026. ISSN: 2644-1101
