Data Availability Policy

The Academic Science Journal (ASJ) supports transparency, reproducibility, and responsible research practices. Authors are encouraged to make the data underlying their research findings available whenever possible, provided that doing so does not violate ethical, legal, confidentiality, privacy, security, or intellectual property restrictions.

This policy applies to research data, datasets, codes, software, protocols, models, supplementary materials, and any other materials necessary to understand, verify, or reproduce the findings reported in a manuscript.

Data Availability Statement

All submitted manuscripts should include a Data Availability Statement, where applicable. This statement should clearly explain whether the data supporting the findings of the study are available, restricted, or not applicable.

The data availability statement should be included in the manuscript before the References section or in another location specified by the journal template.

Sharing Research Data

Authors are encouraged to deposit research data in a recognized public repository whenever appropriate. The repository should provide a persistent identifier, such as a DOI or stable URL, to allow readers, reviewers, and researchers to access the data.

When data are deposited in a repository, authors should include the name of the repository, the dataset title, the accession number or DOI, and the direct link to the data.

Restricted or Confidential Data

In some cases, research data cannot be made publicly available because of ethical, legal, privacy, confidentiality, institutional, commercial, or security restrictions.

This may include, but is not limited to:

Personal or sensitive data.
Clinical or health-related data.
Data involving human participants.
Data protected by confidentiality agreements.
Data restricted by institutional or governmental regulations.
Data involving protected locations, species, or security-sensitive information.
Proprietary or commercially sensitive data.

When data cannot be shared publicly, authors must clearly state the reason and explain whether the data may be available upon reasonable request, subject to approval by the relevant authority or ethics committee.

Data Available Upon Request

If data are not publicly deposited but can be shared upon request, authors should provide a clear statement indicating how the data may be requested and under what conditions.

The corresponding author is responsible for responding to reasonable data requests, provided that sharing the data complies with ethical, legal, and institutional requirements.

Data Not Applicable

If the study does not generate or analyze datasets, authors may state that data availability is not applicable.

Examples of Data Availability Statements

Authors may use one of the following statements, as appropriate:

Data are available in a public repository:
The data supporting the findings of this study are available in [repository name] at [DOI or URL].

Data are available upon reasonable request:
The data supporting the findings of this study are available from the corresponding author upon reasonable request.

Data are restricted:
The data supporting the findings of this study are not publicly available due to [ethical/legal/privacy/confidentiality] restrictions but may be available from the corresponding author upon reasonable request and with appropriate permission.

No datasets were generated:
No datasets were generated or analyzed during the current study.

Data are included in the article:
All data supporting the findings of this study are included within the article and its supplementary materials.

Responsibilities of Authors

Authors are responsible for ensuring that the data availability statement is accurate and complete. Authors must not provide misleading statements regarding data availability.

Authors should retain the original data and supporting materials for a reasonable period after publication and provide them to the journal when requested for editorial, ethical, or verification purposes.

Data Citation

When datasets, software, codes, or other research materials are used, authors should cite them properly in the manuscript and reference list where appropriate. Data citations should include sufficient information to allow readers to identify and access the cited materials.

Editorial Action

If concerns arise regarding the availability, accuracy, integrity, or reliability of data, ASJ may request original data, supporting documents, or clarification from the authors.

Failure to provide data or a satisfactory explanation when requested may affect editorial decisions and may lead to rejection, correction, expression of concern, or retraction, depending on the stage and seriousness of the case.