Data Archiving Permissions

Journal of Alzheimer's Research and Therapy (JALR) supports responsible data sharing to improve transparency and reproducibility.

Authors should archive materials that enable validation and reuse of results. The following items are commonly expected:

• De identified participant level data or aggregated data when patient privacy is a concern.
• Analysis code, scripts, or computational workflows.
• Study protocols and data dictionaries.
• Questionnaires, instruments, or assessment tools where permissions allow.
• Supplementary tables, figure data, or raw imaging outputs when feasible.

JALR accepts data archived in recognized subject specific or general repositories. Choose repositories that provide persistent identifiers, clear licensing, and long term preservation.

Every manuscript must include a data availability statement. This should describe where data and code are stored, how they can be accessed, and any restrictions. Clear statements reduce reviewer queries and support indexing.

When data include personal health information, apply de identification standards and obtain appropriate ethical approvals. If data cannot be shared publicly, provide controlled access through data use agreements or data access committees.

For imaging data or biospecimens, remove direct identifiers and confirm that consent allows sharing. If consent is limited, describe the limitation clearly in the manuscript.

JALR allows limited embargoes when justified by clinical trial rules, patent review, or regulatory obligations. Authors should indicate the expected release date and provide a rationale. Controlled access is acceptable when it protects patient privacy or complies with legal requirements.

When possible, apply permissive data licenses that enable reuse with attribution. If third party rights apply, document restrictions and obtain permissions. JALR supports transparent licensing to promote collaboration while respecting legal boundaries.

For computational studies, provide code, scripts, and configuration files that allow results to be reproduced. Include software versions, dependencies, and operating system details when relevant. If code cannot be shared publicly, explain the limitation and indicate how reviewers can verify the analysis.

Cite data sets in the reference list using the repository DOI or accession number. Clear data citations improve recognition for data creators and allow indexing services to link studies to underlying resources.

Many funding agencies require data management plans or open access data policies. JALR supports compliance by allowing authors to reference their data management plans in the manuscript and by accommodating controlled access options when required. Authors should confirm that their data sharing approach aligns with funder rules and institutional review board guidance.

• Provides a persistent identifier such as a DOI.
• Supports long term preservation and stable access.
• Includes metadata fields for authors, funders, and keywords.
• Allows citation of data sets in the reference list.
• Offers access controls when required for sensitive data.

Transparent data practices help reviewers verify findings and improve trust in results. For Alzheimer's research, data sharing can accelerate replication, support biomarker validation, and enable meta analysis across cohorts.

When data are shared responsibly, clinicians and caregivers benefit from faster translation of evidence into practice. Clear documentation also strengthens future study design by allowing researchers to compare cohorts and analytical approaches for care and policy.