Data Sharing and Accessibility Policy

Research Transparency & Reproducibility

Data Sharing & Accessibility Policy

Eduscape : Journal of Education Insight supports responsible data sharing, research transparency, reproducibility, and FAIR data practices in educational research.

TRANSPARENCY REPRODUCIBILITY FAIR DATA

The journal encourages authors to make research data supporting their findings available whenever ethically, legally, and practically possible. In educational research, data sharing must particularly respect the privacy and confidentiality of students, teachers, parents, school personnel, institutions, and other research participants, as well as informed-consent conditions, intellectual property, contractual obligations, and applicable laws.

1. Data Availability Statement

All research manuscripts must include a Data Availability Statement indicating whether supporting data are available, where they can be accessed, and any applicable conditions or restrictions. Relevant educational research data may include survey responses, assessment results, interview transcripts, classroom observations, intervention data, learning outcomes, coding files, statistical datasets, or other materials underlying the reported findings.

Public Repository
The data supporting the findings of this study are available in [repository name] at [DOI/persistent identifier].
Available on Request
The data supporting the findings of this study are available from the corresponding author upon reasonable request, subject to applicable ethical and confidentiality requirements.
Included in the Article
All data generated or analyzed during this study are included in this published article and its supplementary materials.
Restricted Data
The data are not publicly available due to participant privacy, ethical, legal, institutional, contractual, or third-party restrictions.

2. Data Repositories & Documentation

Where data can be shared, authors are encouraged to deposit them in a recognized disciplinary, general-purpose, or institutional repository that provides stable access and, preferably, a persistent identifier such as a DOI.

Appropriate repositories may include Zenodo, Figshare, Harvard Dataverse, Dryad, Open Science Framework (OSF), or a recognized institutional or disciplinary repository suitable for educational and social-science research.

Authors should consider whether educational datasets contain direct or indirect identifiers before deposition. Personally identifiable information, school identifiers, participant contact details, confidential institutional records, and other sensitive information should be removed, anonymized, pseudonymized, aggregated, or otherwise protected as appropriate.

Data should be provided in appropriate, reusable, and preferably open or machine-readable formats, accompanied by sufficient metadata, variable descriptions, codebooks, questionnaires or instrument descriptions, documentation, and methodological information to support interpretation, verification, and responsible reuse.

3. Ethical, Legal & Confidential Data

Data sharing must not compromise ethical obligations, participant confidentiality, personal information, student records, institutional privacy, commercially sensitive information, intellectual property, or third-party agreements.

✓ De-identify, anonymize, pseudonymize, or aggregate personal and educational data where appropriate. ✓ Respect informed consent, assent, parental consent, institutional permission, and ethical approval conditions.
✓ Explain legal, contractual, institutional, or third-party restrictions. ✓ State clearly how restricted data may be accessed, where ethically and legally possible.
Important: Authors are not required to make data publicly available when doing so would violate ethical approval, informed-consent conditions, participant privacy, student confidentiality, legal requirements, institutional agreements, or other legitimate restrictions.

4. Data Citation & FAIR Principles

Shared datasets should be cited appropriately in the manuscript and reference list. Where available, authors should provide the dataset's creator(s), title, repository, year, version, and DOI or other persistent identifier.

F
Findable		 A
Accessible		 I
Interoperable		 R
Reusable

FAIR does not necessarily mean that all educational research data must be completely open. Where access is restricted, authors should provide sufficiently informative metadata and explain the conditions under which access may be requested or obtained.

5. Editorial Oversight

The Editorial Team may request access to supporting or underlying data when necessary to verify reported results, investigate research-integrity concerns, evaluate statistical or qualitative analyses, or assess compliance with this policy.

Where educational research involves confidential participant-level information, editors may request appropriately de-identified data, documentation, analysis files, codebooks, instrument details, or other evidence needed for editorial verification rather than requiring unrestricted public disclosure.

Inaccurate or misleading data availability statements, unjustified refusal to provide data or supporting documentation for legitimate editorial verification, or serious inconsistencies between the published article and underlying data may result in further editorial review and appropriate action under the journal's publication-ethics and post-publication policies.

Policy Alignment

This policy is informed by the COPE Core Practice on Data and Reproducibility, the COPE–DOAJ–OASPA–WAME Principles of Transparency and Best Practice in Scholarly Publishing, the FAIR Guiding Principles, and established international practices for ethical, transparent, and responsible research-data sharing.