Preservation Policy

Psychology, Society & Education has through OJS (Open Journal System) an archiving system that guarantees its digital preservation.

This journal is part of the Public Knowledge Project’s Private LOCKSS Network (PKP-PLN), which generates a decentralized archiving system, distributed among collaborating libraries, in order to create permanent archives of the journal for the preservation of the original contents and their restoration if necessary. To this end, the PKP PN module is activated. The updated list of journals preserved in PKP-PLN can be downloaded at the following link or by checking the archiving status of the journal in the ISSN portal.

Archived issues can be consulted in the LOCKSS (Lots of Copies Keep Stuff Safe) editorial manifest.

In addition, the Universidad de Córdoba develops several processes to guarantee the permanent accessibility of the digital objects it hosts on its own servers:

• Backup copies.
• Monitoring of the technological environment to foresee possible migrations of obsolete formats or software.
• Digital preservation metadata.
• Use of persistent identifiers:
• DOI (Digital Object Identifier) y ORCID

Interoperability Protocols
This journal provides an interface OAI-PMH (Open Archives Initiative – Protocol for Metadata Harvesting) that allows other websites and information services to harvest the published content metadata.

Specifications:
OAI-PMH Protocol Version 2.0
Dublin Core Metadata
The URL for harvesters: https://journals.uco.es/psye/oai 

Research data policy

The Editor Team of the journal recommend authors depositing data obtained from the research developed for the preparation of their article in repositories of recognized prestige, specific to the discipline or of a generalist nature. In any case, it must be a FAIR repository (Findable, Accessible, Interoperable, Reusable), preferably in open access. If necessary, authors can consult the Registry of Research Data Repositories re3data considering that each repository has its own deposit rules.

If the author has deposited datasets in a repository, he should mention it in the article providing a brief description of the type of data deposited, the name and URL of the repository, the identification code and the data of the license for use and distribution. This information must be included in the section "Data Analysis".