Indonesia
Research, Data & Reporting Policies
Horizon of Public Health Sciences (HoPHS) requires research to be ethically conducted, transparently reported, and supported by data and documentation appropriate to the study design. These policies apply to original research and, where relevant, evidence-synthesis manuscripts submitted to the journal.
Research involving human participants, identifiable human material, identifiable health information, or other human-derived data subject to ethical oversight must have been reviewed and approved, or formally exempted or waived where appropriate, by a competent independent ethics committee or institutional review board before the research was conducted.
State the name of the approving ethics committee or review body, institution where relevant, approval or reference number, and approval date when available. The statement should appear in the manuscript and complete identifying details should also be provided in the Title Page when required for double-blind review.
If formal ethics approval was not required, authors must state this explicitly and explain the basis. Where an ethics committee granted an exemption or waiver, identify the committee and provide the relevant determination or reference information where available.
Authors must describe the informed-consent process for research participation when consent was required. Consent should be voluntary, appropriately documented, and obtained from participants or legally authorized representatives in accordance with the approved study protocol and applicable ethical and legal requirements.
State whether informed consent was written, electronic, witnessed, verbal where ethically permitted, waived by the ethics committee, or otherwise handled under the approved protocol. Research involving persons unable to provide consent must report the legally authorized consent and assent process where relevant.
Separate consent for publication is required when an individual could reasonably be identified from photographs, clinical details, quotations, pedigrees, combinations of characteristics, or other published material. Nonessential identifying information should be removed.
Personal, health, genomic, geographic, qualitative, administrative, or linked data may create re-identification risks even when direct identifiers have been removed. Authors must use appropriate safeguards and comply with the consent, ethics approval, data-use agreements, applicable privacy law, and institutional data-governance requirements.
Because HoPHS is a public-health journal, animal research will be considered only when it has a clear and substantive relationship to public-health science and falls within the journal's stated scope. Where animal research is reported, authors must state that relevant institutional and national standards for the care and use of animals were followed.
HoPHS requires prospective public registration of clinical trials at or before the time of first participant consent for enrollment. For this policy, a clinical trial includes prospective assignment of individuals or groups to a health-related intervention to evaluate its effect on a health outcome.
Authors must identify and use the current reporting guideline appropriate to their study design. Reporting checklists and flow diagrams may be requested during submission, technical screening, peer review, or revision. The EQUATOR Network should be consulted when authors are uncertain which guideline applies.
Every manuscript reporting original research or evidence synthesis must contain a Data Availability Statement. The statement should describe whether supporting data and related research materials are publicly available, available under controlled conditions or on reasonable request, subject to restrictions, obtained from a third party, or not newly generated for the study.
HoPHS encourages responsible sharing of the data, code, protocols, instruments, data dictionaries, analytical materials, and other resources needed to understand, verify, or reuse published research. Data sharing must remain consistent with participant consent, ethics approval, privacy, legal requirements, data-use agreements, and legitimate community or institutional governance.
Deidentified participant-level or aggregate data, data dictionaries, analysis code, questionnaires, protocols, statistical analysis plans, search strategies, extraction sheets, and other materials necessary to understand or reproduce the work.
Restrictions are appropriate when open release would breach privacy, informed consent, ethics conditions, Indigenous or community governance, legal requirements, security protections, contractual arrangements, or third-party rights.
Manuscripts reporting clinical-trial results must include a data-sharing statement consistent with ICMJE requirements. Trials beginning enrollment on or after 1 January 2019 should also have a data-sharing plan included in the trial registration, and material changes to that plan should be reflected in both the registry record and the submitted manuscript.
A statement of “undecided” is not acceptable for whether deidentified participant data will be shared. The data-sharing statement should accurately reflect the actual data-governance arrangements of the study.
Where public or controlled data deposition is appropriate, authors should use a recognized domain-specific, general-purpose, or institutional repository that provides stable access, adequate metadata, an appropriate level of access control, and preferably a persistent identifier such as a DOI or accession number.
When software code, statistical scripts, questionnaires, measurement instruments, protocols, search strategies, codebooks, or other materials are essential to evaluating or reproducing the work, authors should make them available where legally and ethically possible and identify their location in the manuscript.
Authors must disclose material use of generative AI, large language models, machine-learning platforms, AI-assisted image tools, or comparable technologies in the production of submitted work. AI systems cannot be authors and do not replace human responsibility for scientific accuracy and integrity.
Disclose the tool used and its purpose in the appropriate manuscript declaration or acknowledgment when AI materially assisted writing, language editing, summarization, translation, or content generation. Authors must verify all generated content and references.
If AI contributes to data collection, screening, coding, classification, statistical or computational analysis, prediction, image generation or processing, or another substantive research method, describe the tool, model or version where available, purpose, procedures, validation, and human oversight in sufficient detail for readers to understand and evaluate the method.
Identifiable, sensitive, confidential, restricted, or unpublished participant data must not be entered into external AI systems unless that processing is permitted by the approved research protocol, participant consent where applicable, data-governance arrangements, institutional policy, contractual obligations, and applicable law. Authors remain responsible for assessing privacy, retention, security, secondary-use, and cross-border data-transfer implications.
During technical screening, peer review, integrity assessment, or post-publication review, HoPHS may request documentation reasonably necessary to assess the reported research. Requests will be proportionate to the concern and should respect ethical, privacy, confidentiality, and legal constraints.
HoPHS supports research transparency and reproducibility while recognizing legitimate limits on data disclosure. Authors should provide sufficient information for readers to understand how the research was conducted, how evidence was generated and analyzed, what data and materials support the findings, and what ethical or governance conditions apply to their use.