Research Data and Reproducibility

Research Integrity Policy

Research Data and Reproducibility

This policy describes the journal's principles concerning research data availability, documentation, preservation, citation, and reproducibility.

Jurnal Agroekoteknologi Tropika Lembab (JATL), internationally titled Humid Tropical Agroecotechnology Journal, supports transparent and reproducible research. Authors are encouraged to make the data, materials, protocols, and analytical procedures supporting their findings available as openly as possible and as restricted as necessary.

Implementation Notice

Authors are currently encouraged to include a Data Availability Statement. This practice will be implemented progressively in the journal's submission guidelines, metadata form, and manuscript template. Articles submitted or published before full implementation are not required to be updated retrospectively.

Guiding Principle

FAIR Research Data

Where ethically and legally possible, authors are encouraged to manage research data according to the FAIR principles:

Findable Accessible Interoperable Reusable

What Is Research Data?

Research data include materials used to support, verify, or reproduce the findings reported in an article. Depending on the type of study, research data may include:

Raw observations Processed datasets Field measurements Laboratory results Soil and plant data Survey data Photographs and images Maps and coordinates Statistical code Research software Protocols and instruments

Data Availability Statement

Authors are encouraged to provide a Data Availability Statement explaining whether the data supporting their findings are available, where the data can be accessed, and whether any access restrictions apply.

When provided, the statement should explain:

  • whether supporting data are available;
  • what data or materials are available;
  • where and how the data can be accessed;
  • the repository, URL, DOI, or persistent identifier;
  • any conditions governing access; and
  • the reason for any access restriction.
Examples of Data Availability Statements
Data included in the article

“All data supporting the findings of this study are included in the article and its supplementary materials.”

Data available in a repository

“The data supporting the findings of this study are available in [repository name] at [DOI or persistent URL].”

Data available upon request

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

Data subject to restrictions

“The data are not publicly available due to privacy, ethical, legal, or institutional restrictions. Further information may be requested from the corresponding author.”

No new data created

“No new data were created or analyzed in this study. Data sharing is not applicable to this article.”

Data Repositories

Authors who choose to share data are encouraged to use a trustworthy disciplinary, institutional, or general-purpose repository that:

  • provides a persistent identifier, preferably a DOI;
  • maintains stable metadata and long-term access;
  • supports file versioning;
  • provides clear licensing information; and
  • allows controlled access when required.

Examples of general-purpose repositories include Zenodo, Figshare, and the Open Science Framework. Where a recognized disciplinary repository exists, authors are encouraged to use that repository.

Sensitive, Confidential, and Restricted Data

JATL does not require public disclosure of data when sharing would violate ethical approval, informed consent, privacy, confidentiality, intellectual property, contractual obligations, biosecurity requirements, or applicable law.

Personal Data

Identifying and confidential personal information should be protected or appropriately anonymized.

Sensitive Locations

Exact locations of protected species or vulnerable resources may require restricted access.

Traditional Knowledge

Indigenous or community knowledge must be handled in accordance with consent, attribution, and access agreements.

Third-Party Data

Data owned by another party remain subject to the original owner's access and reuse conditions.

Data During Editorial Review

When necessary to evaluate the reliability of a manuscript, editors may request access to relevant underlying data, analytical code, images, protocols, or other supporting materials. Any materials provided for editorial examination will be treated as confidential.

Authors who cannot provide supporting data when requested should explain the ethical, legal, institutional, technical, or other legitimate reason for their unavailability.

Reproducible Reporting

Authors should describe their methods and analytical procedures with sufficient detail to allow qualified readers to understand and, where reasonably possible, reproduce the research.

Relevant information may include:

  • research and experimental design;
  • sampling procedures and study location;
  • materials, cultivars, treatments, and instruments;
  • experimental units, controls, and replication;
  • statistical methods and software versions;
  • data inclusion and exclusion criteria;
  • units of measurement and uncertainty; and
  • ethical approvals or research permits where applicable.

Data Citation and Attribution

Data created by other researchers should be cited and acknowledged in the same manner as other scholarly sources. A data citation should, where available, identify the dataset creator, title, repository, publication year, version, and persistent identifier.

Reuse of an existing dataset does not automatically qualify the dataset creator for authorship. Authorship must follow the journal's authorship criteria, while reused data must receive proper citation and attribution.

Data Retention

Authors are encouraged to retain the data and documentation supporting their article for a period appropriate to the applicable institutional, funder, ethical, legal, and disciplinary requirements.

Research data should be stored securely and protected against unauthorized access, alteration, loss, or destruction.

Post-Publication Data Concerns

Concerns involving unavailable, inconsistent, incorrectly described, manipulated, or fabricated data will be assessed in accordance with the journal's research-integrity policies. Depending on the evidence, the journal may request clarification, publish a correction or expression of concern, or retract the article.

Data and Reproducibility Enquiries

Questions about research data or concerns regarding data supporting a published article may be sent to the editorial office.

Email: jurnalagroteknologi@faperta.unmul.ac.id