Covid-19 Research

Research Transparency

Data Sharing Policy

JBRES encourages responsible data sharing to promote transparency, reproducibility, and integrity in scientific research. Authors are expected to make underlying data available where ethically and legally possible, in accordance with journal policies and international research standards.

Research Ethics Publication Ethics
Data Sharing Policy • Open Science • Reproducible Research

Data Sharing Policy

As a Gold Open Access journal, JBRES encourages authors to make research data discoverable, citable, and reusable—while respecting ethical and legal limits. Data sharing improves transparency, strengthens findings, and increases the long-term impact of your work.

Submit Your Manuscript Submission Guidelines Contact Editorial Office
Author Rights First: Data remains the intellectual property of the authors. JBRES requests data sharing only to support verification and reproducibility.

What “Research Data” Includes

“Research data” includes any material collected, observed, generated, or analyzed to validate published findings. This may include (but is not limited to):

Numerical & Statistical Data

Spreadsheets, tables, raw measurements, processed datasets, scripts outputs.

Visual & Imaging Data

Microscopy images, radiology images (de-identified), plots, figures, videos.

Qualitative Materials

Interview transcripts (with consent), survey instruments, coding frameworks.

Code & Computational Files

Scripts, algorithms, analysis notebooks, model parameters, pipelines.

JBRES Data Sharing Options

JBRES supports different levels of sharing based on the study design, discipline norms, and privacy requirements. Authors should select one of the following approaches:

Recommended

Encouraged Data Sharing

Authors are encouraged to deposit supporting datasets in a suitable repository (discipline-specific or general). A Data Availability Statement should be included in the manuscript describing whether data is available and how it can be accessed. When shared, datasets must be properly cited within the article.

  • Add a clear Data Availability Statement in the manuscript.
  • Provide a working repository link and access information (public or controlled access).
  • Cite the dataset in references (if the repository provides a DOI or identifier).
Required (When Applicable)

Mandated Data Sharing

For certain study types, funder requirements, or community standards, data sharing may be required as a condition of publication. Authors must deposit the data supporting key conclusions in a repository and include full access details.

  • Deposit data in a trusted repository with persistent access.
  • Include a Data Availability Statement with repository link + identifier/DOI.
  • Ensure data is organized, labeled, and accompanied by metadata.

Data Availability Statement (Templates)

✅ Publicly Available Data
The data supporting this study are available in [Repository Name] at [URL], under identifier [DOI / Accession Number].
🔐 Controlled Access (Ethics/Privacy)
Due to ethical/legal restrictions, the data are not publicly available. De-identified data may be available from the corresponding author upon reasonable request and approval by [Ethics Committee / Institution].
📎 Data Included in Article / Supplement
All relevant data are included within the article and its supplementary information files.
🚫 Data Not Available
Data sharing is not applicable to this article as no new data were created or analyzed.

How Data Is Reviewed (Quality & Integrity)

If data is shared, reviewers and editors may check whether it supports the claims of the manuscript. Typical checks may include:

Completeness: Are key datasets included to validate main results?
Labeling: Are files clearly named and documented?
Metadata: Is there sufficient information to interpret and reuse the data?
Reproducibility: Are methods and code enough to reproduce key outcomes (where relevant)?

Ethics, Privacy & Exceptions

JBRES supports data sharing while respecting ethical and legal requirements. Authors should not upload identifying information of human subjects or restricted third-party content. When data cannot be shared publicly, authors must clearly explain the reason in the Data Availability Statement.

Tip: Consider sharing de-identified datasets, aggregated results, or controlled-access data when full public release is not possible.
  • Human subject privacy: remove identifiers and follow consent terms.
  • Legal restrictions: comply with institutional, national, and funder policies.
  • Third-party datasets: share only if you have permission or provide proper access instructions.
  • Safety-sensitive data: follow appropriate restrictions and explain availability route.

Why Authors Benefit From Data Sharing

More Citations & Reuse
Datasets with identifiers/DOIs can be cited, increasing scholarly visibility.
Higher Trust & Credibility
Transparent evidence strengthens confidence in your conclusions.
Future Collaborations
Shared data can attract new research partnerships and extensions.
Funder & Institutional Compliance
Meets many data management requirements and good open science practice.

Need help choosing a repository or writing your statement?

Share your manuscript topic and data type with us. Our editorial office will guide you on best practices for availability statements and responsible sharing.

Submit Manuscript support@jelsciences.com
Publish with JBRES — Peer-reviewed, multidisciplinary Open Access with rapid review, DOI, and global visibility.
Double-Blind CrossRef DOI Discoverable
Submit Manuscript Membership