Data Availability Statement Policy

DATA AVAILABILITY STATEMENT POLICY

Pedagogical Perspective (PedPer)

ISSN: 2822-4841 | DOI Prefix: 10.29329

Quick Summary

Pedagogical Perspective (PedPer) (eISSN: 2822-4841) is committed to promoting research transparency and reproducibility. All manuscripts submitted to PedPer must include a Data Availability Statement (DAS) in the Declarations section. The DAS informs readers whether the data underlying the reported findings are available, and if so, how and where they can be accessed. This policy is aligned with the principles of open science and the expectations of international indexing bodies.

1) What is a Data Availability Statement?

A Data Availability Statement is a standardised section within a published article that explicitly describes the availability (or non-availability) of the data that support the findings of the study. The DAS enhances transparency by allowing readers, reviewers, and other researchers to understand how the underlying evidence can be accessed, verified, or reused.

PedPer requires a DAS in all submitted manuscripts, regardless of whether the data are shared publicly, available upon request, or restricted for ethical or legal reasons.

2) When is a Data Availability Statement Required?

A DAS is required for:

All empirical research articles (qualitative, quantitative, and mixed-methods)
Systematic reviews, meta-analyses, and scoping reviews (regarding the review dataset)
Analysis / case-based articles

A DAS is recommended but not mandatory for:

Vision Papers (conceptual/theoretical contributions where no primary data are collected)
Review articles that do not involve a structured data extraction process

3) Standard Data Availability Statements

Authors should select the statement that most accurately describes the availability of their research data. PedPer provides the following standard templates, adapted from international best practices:

Category A: Data are publicly available

"The data that support the findings of this study are openly available in [repository name] at [URL/DOI], reference number [if applicable]."

Use this statement when data have been deposited in a public repository (e.g., Zenodo, Figshare, Harvard Dataverse, Mendeley Data, OSF, institutional repositories) or are included as supplementary files.

Category B: Data are available upon reasonable request

"The data that support the findings of this study are available from the corresponding author upon reasonable request."

Use this statement when data cannot be made publicly available due to ethical, legal, or practical constraints, but can be shared with qualified researchers upon request.

Category C: Data are restricted

"The data that support the findings of this study are not publicly available due to [reason, e.g., privacy/ethical restrictions, institutional policy, third-party data]. Restrictions apply to the availability of these data, which were used under license for this study."

Use this statement when data contain personally identifiable information, are protected by institutional review board (IRB) conditions, involve third-party data with access restrictions, or are subject to national data protection laws (e.g., KVKK, GDPR).

Category D: No new data were generated

"No new data were created or analysed in this study. Data sharing is not applicable to this article."

Use this statement for theoretical, conceptual, or commentary articles where no primary data collection or secondary data analysis was performed.

Category E: Data are included in the article

"All data generated or analysed during this study are included in this published article [and its supplementary information files]."

Use this statement when all relevant data are presented within the manuscript text, tables, figures, or appendices.

4) Placement in the Manuscript

The Data Availability Statement should be placed in the Declarations section of the manuscript, after the Funding acknowledgment and before the References. The DAS should appear under the heading "Data Availability Statement" or "Data Availability". Authors should include the DAS in the Title Page Form as well as in the manuscript file.

5) Recommended Data Repositories

PedPer encourages authors to deposit their research data in established, trusted repositories. Recommended options include:

Zenodo (zenodo.org) — general-purpose, CERN-hosted, DOI-minting
Figshare (figshare.com) — general-purpose, DOI-minting
Harvard Dataverse (dataverse.harvard.edu) — social science focus
Mendeley Data (data.mendeley.com) — general-purpose, Elsevier-hosted
OSF (osf.io) — Open Science Framework, supports preregistration
Institutional repositories — university-hosted digital archives

Deposited datasets should include a persistent identifier (DOI) and be cited in the reference list where appropriate.

6) Ethical and Legal Considerations

PedPer recognises that not all research data can or should be shared publicly. In particular:

Data involving human participants may be restricted by ethics committee (IRB) conditions, informed consent limitations, or data protection regulations (KVKK, GDPR).
Qualitative data (interview transcripts, observation notes) may contain identifiable information that cannot be fully anonymised.
Third-party data may be subject to licensing agreements that prevent redistribution.

In all cases, the DAS must honestly and accurately describe the data availability status. Authors should never claim data are available if they are not, and should never claim restrictions that do not exist.

7) Peer Review of Data Availability

Reviewers are encouraged to assess the appropriateness of the Data Availability Statement as part of the peer review process. Reviewers may ask authors to clarify the DAS, provide additional justification for data restrictions, or deposit data in a public repository where feasible. The Editor-in-Chief may request changes to the DAS during the editorial process.

8) Post-Publication Data Requests

For articles with a Category B statement (data available upon request), the corresponding author is expected to respond to legitimate data requests from qualified researchers in a timely manner. If the corresponding author does not respond within a reasonable period, the editorial office may facilitate contact. PedPer does not mediate data disputes but may note persistent non-responsiveness in accordance with the Publication Ethics & Malpractice policy.

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