Data Availability and Research Transparency Policy

The Jurnal Ilmu Peternakan dan Veteriner Tropis (JIPVET) supports transparent reporting, responsible stewardship of research data, and the reproducibility of scientific findings. Authors must describe their methods and the evidence underlying their conclusions accurately and provide clear information about the availability of the data and materials associated with their work.

This policy applies to research involving animal production, veterinary medicine, genetics, microbiology, laboratory investigations, field observations, surveys, and computational analyses, as well as reviews that generate reusable datasets or analytical records. Data sharing must remain consistent with applicable ethical approvals, consent, privacy protections, legal obligations, and legitimate third-party rights.

JIPVET encourages the FAIR principles: data and accompanying information should be findable, accessible under clearly stated conditions, interoperable where practical, and reusable with adequate documentation. Openness is encouraged, but unrestricted public release is not appropriate for every dataset.

1. Scope and Principles of Research Transparency

Research transparency concerns more than depositing a spreadsheet. It includes identifying the source of evidence, documenting how the data were collected and processed, specifying analytical decisions, and allowing legitimate scrutiny of the reported findings.

Authors are responsible for:

• Reporting authentic data and distinguishing observations from simulations or derived results.
• Describing research design, sample selection, measurements, exclusions, and analytical methods accurately.
• Identifying the location of supporting data or explaining justified restrictions on access.
• Providing appropriate credit and citations for reused datasets, software, and external resources.
• Preserving relevant research records in accordance with applicable institutional, funder, and legal requirements.
• Correcting material errors discovered in published datasets or analyses.

Data availability does not by itself establish that results are valid; scientific validity remains subject to methodological assessment and editorial review.

2. Data Availability Statement

JIPVET requires a Data Availability Statement for original research manuscripts. Reviews and other article types that generate datasets, screening records, extraction tables, or computational outputs must describe the availability of those materials as applicable.

The statement should be included under the heading Data Availability Statement before the References section and should be consistent with the data actually available at publication. It must explain:

1. Which data and materials support the reported findings.
2. Whether they are included in the article, supplementary files, or an external repository.
3. The repository name, persistent identifier, accession number, or stable link, where applicable.
4. Any access conditions, embargoes, consent limitations, confidentiality obligations, or other restrictions.
5. Where access is controlled, who manages the data and how a legitimate request may be considered.

A statement such as "data available on reasonable request" should be used only when a responsible data custodian can genuinely consider requests and when the terms of access can be described. Authors must not promise open or unrestricted access to data they do not own or are not permitted to share.

Where no new data were generated or analyzed, authors should state this accurately rather than inventing a dataset or repository record.

3. Data and Materials Supporting the Findings

Depending on the study design, supporting materials may include raw observations, processed datasets, metadata, measurement protocols, laboratory records, statistical outputs, analysis scripts, image files, sequence alignments, and supplementary tables.

Examples relevant to JIPVET include:

• Animal production and reproduction: appropriately documented performance measurements, treatment assignments, semen evaluations, and analytical datasets.
• Veterinary and laboratory studies: relevant assay measurements, diagnostic criteria, microscopy observations, and data-processing methods.
• Genetics and molecular studies: validated sequence records, accession numbers, alignments, variant information, and phylogenetic or population-genetic analysis settings.
• Farm and community surveys: de-identified datasets, questionnaires, coding rules, and summaries that do not expose respondents or farm owners.
• Systematic reviews and evidence syntheses: search strategies, screening decisions, study lists, extraction fields, and analytical code when available and appropriate.

The materials made available should be sufficient to understand the basis of the published findings, while avoiding unnecessary disclosure of personal, commercially sensitive, or otherwise restricted information.

4. Data Repositories, Access, and Citation

Authors are encouraged to deposit shareable research datasets in trustworthy disciplinary or general-purpose repositories that support stable access, appropriate metadata, and persistent identifiers where available. Repository selection should reflect the data type, disciplinary conventions, and applicable access restrictions.

Suitable options may include discipline-specific archives, institutional repositories, and general-purpose repositories such as Zenodo or Dryad, provided that their terms are appropriate to the data. Depositing files in a temporary personal folder or sharing an expiring link is not an adequate substitute for a stable record when long-term public availability is claimed.

Data records should be accompanied by useful metadata, variable definitions, units of measurement, file descriptions, and version information. Publicly reused datasets must be acknowledged and cited according to their repository guidance and the journal's reference style.

Authors should describe relevant repository embargoes or controlled-access arrangements. A persistent identifier improves discoverability but does not, by itself, mean that all underlying files are publicly accessible.

5. Genetic, Genomic, and Sequence Data

For manuscripts reporting newly generated nucleotide sequences that form part of the scientific evidence, authors are expected to deposit suitable sequence records in an appropriate archive participating in the International Nucleotide Sequence Database Collaboration (INSDC), such as GenBank, ENA, or DDBJ, and report the assigned accession numbers before publication.

High-throughput sequencing reads and other omics datasets should be deposited in a repository appropriate to the data type, such as the Sequence Read Archive (SRA) or another recognized archive, where submission is applicable and ethically permissible.

Manuscripts should report the accession numbers of newly deposited sequences and identify external reference sequences used in the analysis. When relevant to interpretation, authors should also document sequence quality control, alignment methods, analytical software, model choices, and the availability of supporting alignments or tree files.

An accession number must correspond to an actual deposited record; authors must not cite identifiers that have not been assigned. If a record is held confidential before article publication, its intended public release and any necessary access arrangements must be communicated to the editor. Legitimate restrictions should be explained rather than concealed.

6. Methods, Software, and Analytical Reproducibility

Methods must be described sufficiently to allow qualified readers to understand how observations were transformed into reported results. Where relevant, authors should disclose the statistical or computational model, software and version, analysis parameters, exclusion criteria, missing-data handling, and diagnostic or validation procedures.

Authors are encouraged to share analysis scripts, codebooks, processing steps, and other reproducibility materials when they have the necessary rights to do so. If proprietary software or restricted code is essential, the manuscript should identify it and describe the procedures as fully as practicable.

Figures and tables reporting numerical results must be traceable to authentic observations, analyses, or appropriately identified simulations. Researchers must not manufacture raw data, impute unobserved values without disclosure, or report unsupported precision or significance.

Where an article reports simulation, artificial intelligence, or machine-learning methods, the provenance of input data, model evaluation, and relevant limitations must be stated. Applicable generative AI use must also comply with JIPVET's separate AI policy.

7. Privacy, Consent, and Legitimate Data Restrictions

Data transparency must not override applicable laws, research ethics approvals, consent conditions, confidentiality agreements, or the rights and safety of people and animals associated with a study.

Particular care is required for interviews with livestock owners, household or farm surveys, farm-level production records, veterinary case histories, and precise locations of sensitive wildlife populations. Names, telephone numbers, addresses, farm identifiers, exact coordinates, and combinations of indirect identifiers must not be disclosed when disclosure could cause inappropriate identification or harm.

Removing names does not always provide adequate de-identification. Authors should assess the risk of re-identification, especially in small communities or datasets with unusual combinations of characteristics.

When public release is not appropriate, authors should describe the reason for the restriction and, where feasible, explain whether aggregated information, selected variables, a controlled-access dataset, or a verification process can be provided without breaching obligations.

An ethics committee, data custodian, institution, or other competent authority may be responsible for authorizing access. Consent to participate in research does not automatically constitute consent for unrestricted public distribution of identifiable data.

8. Third-Party Data, Permissions, and Ownership

Manuscripts using external datasets must identify the original source, applicable permissions, and relevant conditions of reuse. Authors must not claim ownership or unrestricted sharing rights over data supplied by third parties.

Publicly available datasets should be cited using the original dataset record or other reliable source. Restricted institutional, commercial, or governmental data should be described in a way that permits readers to understand the data source without breaching the governing terms.

Where funders or sponsors control access to essential study data, the relationship and its implications for independent analysis should be disclosed in accordance with the journal's funding and competing interests policy.

9. Data Stewardship, Preservation, and Corrections

Authors should maintain organized research records and preserve relevant data for the period required by their institution, funding agreement, applicable law, or ethical approval. JIPVET does not prescribe a universal retention period in this policy.

The corresponding author should identify who can provide clarifications about the data after publication. If responsibility for data custody belongs to an institution or collaborating organization, that arrangement should be reflected in the Data Availability Statement where relevant.

Errors discovered in publicly deposited datasets, analysis files, or supplementary materials should be corrected using repository versioning or other traceable procedures. Authors must notify the editorial office when a data correction could materially affect the published article.

10. Editorial Verification and Integrity Concerns

Editors and reviewers may request clarification about data sources, analytical methods, or the availability of materials necessary to assess a manuscript. When justified and permissible, the editor may ask authors to provide relevant supporting data through a secure arrangement.

An inability to release restricted data publicly does not automatically justify rejection. The editor considers whether the stated restrictions are legitimate and whether the research can be assessed adequately within those limitations.

Failure to explain material discrepancies, deliberate misrepresentation of data availability, fabrication or falsification of records, or unresolved issues undermining the reliability of findings may lead to additional assessment, rejection, or action under the journal's Publication Ethics and Research Misconduct Policy.

Concerns discovered after publication may require correction, an expression of concern, or retraction, depending on the evidence and their implications for the scholarly record. Authors may raise procedural objections under the journal's Complaints and Appeals Policy.

11. Examples of Data Availability Statements

The following models illustrate how to report different access arrangements. Authors must replace all placeholders with verified information and use only the model that accurately describes their study.

A. Data in a Public Repository

Data Availability Statement: The data supporting the findings of this study are available in [REPOSITORY NAME] at [VERIFIED DOI, ACCESSION NUMBER, OR PERSISTENT LINK], under [APPLICABLE ACCESS OR LICENSING CONDITIONS].

B. Data Included in the Article or Supplementary Files

Data Availability Statement: The data supporting the findings are provided within the article and its supplementary materials [IDENTIFY RELEVANT TABLES OR FILES].

C. Controlled Access or Reasonable Request

Data Availability Statement: The supporting data are not publicly deposited because [DOCUMENTED REASON]. Requests for access may be directed to [RESPONSIBLE DATA CUSTODIAN OR INSTITUTION] and will be considered subject to [ETHICAL, LEGAL, CONSENT, OR DATA-USE CONDITIONS].

D. Data Cannot Be Shared

Data Availability Statement: The underlying dataset is not available for public or individual release because [SPECIFIC ETHICAL, LEGAL, OR THIRD-PARTY RESTRICTION]. [DESCRIBE ANY LAWFULLY SHAREABLE AGGREGATE INFORMATION OR EXPLAIN IF NONE IS AVAILABLE].

E. No New Data Generated

Data Availability Statement: No new datasets were generated or analyzed for this article. Sources used in preparing the manuscript are cited in the reference list.