Data Sharing & Reproducibility

Austronesian: Journal of Language Science & Literature is committed to promoting research transparency, methodological rigor, and reproducibility through responsible data sharing and clear methodological reporting, enabling readers to evaluate, verify, and, where appropriate, reproduce or build upon published findings. This policy applies to all submitted manuscripts, including empirical, qualitative, quantitative, linguistic, corpus-based, experimental, systematic review, bibliometric, theoretical, and conceptual studies. Data-sharing and reproducibility requirements are applied according to the research design, disciplinary practices, ethical standards, legal obligations, and the sensitivity of the data involved.


1. Research Data and Supporting Materials

Research data refers to the materials, records, and outputs that support the findings and conclusions presented in a manuscript. Depending on the research design, these materials may include:

  • Raw or processed datasets, including linguistic, textual, and numerical data.
  • Interview transcripts, questionnaires, survey responses, and observation records.
  • Audio recordings, video recordings, photographs, and other multimedia research materials.
  • Language corpora, annotated texts, transcription files, coding frameworks, and linguistic metadata.
  • Experimental materials, research instruments, protocols, and analytical procedures.
  • Statistical analysis files, computational scripts, software code, and bibliometric datasets.
  • Search strategies, screening records, and extraction tables used in systematic reviews and bibliometric studies.
  • Supplementary materials necessary to assess or verify the reported findings.

Authors should identify the materials relevant to their research and determine which can be shared responsibly.


2. Data Availability Statement

All submitted research articles must include a Data Availability Statement that clearly explains whether the data supporting the findings are available and, where applicable, how they can be accessed. The statement must be included in the manuscript before the References section. Authors should select the statement that accurately reflects their research circumstances. Acceptable examples include:

  1. Publicly available data: The data supporting the findings of this study are publicly available in [repository name] at [URL or DOI].
  2. Data available upon reasonable request: The data supporting the findings of this study are available from the corresponding author upon reasonable request, subject to applicable ethical, legal, and confidentiality requirements.
  3. Restricted or confidential data: The data supporting the findings of this study are not publicly available because of ethical, legal, privacy, or confidentiality restrictions. Access may be considered where appropriate and subject to the necessary permissions and safeguards.
  4. Data obtained from third-party sources: The data used in this study were obtained from [source or database]. Access is subject to the terms and conditions established by the original data provider.
  5. No new data generated or analyzed: No new datasets were generated or analyzed in this study. Data sharing is not applicable to this article.
  6. Publicly available source materials: This study relies exclusively on publicly available materials, which are identified and cited in the manuscript. No additional research dataset was generated.

Authors must ensure that their statements are accurate and consistent with the actual availability of their research materials. The journal reserves the right to request clarification or supporting documentation when necessary.


3. Data Deposition and Repository Recommendations

The journal encourages authors to deposit shareable research data and supporting materials in reliable repositories, such as Zenodo, OSF, Figshare, or appropriate institutional and disciplinary repositories. Authors should provide persistent identifiers (e.g., DOIs), adequate metadata and documentation, and clear links between datasets and publications. Data management should follow the FAIR principles (Findable, Accessible, Interoperable, and Reusable), where appropriate and subject to applicable restrictions.


4. Reproducibility and Methodological Transparency

Authors must provide sufficient methodological details to enable readers to assess the validity, reliability, and reproducibility of their findings. Where applicable, manuscripts should describe research designs, data sources, sampling procedures, data collection, analytical methods, software, search strategies, coding procedures, and validation techniques. Authors should provide relevant supplementary materials, datasets, and analytical code when available. Qualitative, theoretical, conceptual, and review studies should transparently document their analytical decisions, source selection, and synthesis procedures, as appropriate to their research designs.


5. Ethical, Legal, and Culturally Sensitive Data

Data sharing must comply with applicable laws, research ethics, informed consent, privacy protections, intellectual property rights, and third-party restrictions. Authors must protect confidential information, respect community protocols and Indigenous data governance, and safeguard sensitive linguistic and cultural materials. Where data cannot be shared publicly for legitimate ethical, legal, privacy, or cultural reasons, authors must explain these restrictions in their Data Availability Statement. The journal does not require disclosure that would violate these obligations.


6. Data Citation and Attribution

Authors must appropriately cite all datasets, corpora, databases, and research materials used in their studies. Persistent identifiers, such as DOIs, should be included in data citations where available. Authors must respect data ownership, intellectual property rights, licensing conditions, attribution requirements, and applicable access restrictions.


7. Editorial Assessment and Peer Review

Editors and reviewers may evaluate data availability statements, methodological transparency, and supporting materials during manuscript assessment. The editorial team may request additional documentation, data-source clarification, permissions, or supporting evidence to verify research integrity. Confidential materials must be handled according to the journal's ethical and confidentiality requirements. Restricted data will not automatically result in rejection when legitimate justifications exist; however, insufficient methodological transparency or ethical non-compliance may affect editorial decisions.


8. Research Integrity and Post-Publication Verification

Authors must ensure that research data and supporting materials are accurate, adequately documented, and consistent with the published findings. Data fabrication, falsification, unauthorized manipulation, misleading availability statements, and misrepresentation of analytical procedures constitute serious research integrity concerns. Where necessary, the journal may request supporting evidence and conduct further investigations. Corrections, expressions of concern, or retractions may be issued in accordance with the journal's policies and established publication ethics guidance.


9. Responsibilities of Authors

Authors submitting manuscripts to Austronesian: Journal of Language Science & Literature must provide an accurate Data Availability Statement, describe their methods transparently, share research data and supporting materials where feasible, cite data sources appropriately, comply with relevant ethical and legal requirements, respond to reasonable editorial requests, and correct inaccurate information concerning data availability. These responsibilities are subject to legitimate restrictions on data disclosure.


10. Policy Implementation

The journal implements this policy to enhance research transparency, credibility, reproducibility, and verifiability. Its requirements will be applied proportionately, considering research design, disciplinary practices, methodological requirements, and ethical circumstances. The journal may periodically revise the policy to reflect developments in open science, research data management, scholarly publishing, and publication ethics.