Journal of Skeletal Muscle

Journal of Skeletal Muscle

Journal of Skeletal Muscle – Data Archiving Permissions

Open Access & Peer-Reviewed

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Skeletal Muscle - Data Archiving Permissions

Clear expectations for muscle data sharing and reuse.

Skeletal Muscle - Data Archiving Permissions

Clear expectations for muscle data sharing and reuse.

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muscle biologyclinical translationperformance sciencerehab impactopen access

Data Archiving Permissions

We encourage authors to deposit datasets in trusted repositories to support reuse and verification. Data availability statements should specify repository links, access conditions, and licensing details.

For clinical or sensitive datasets, provide controlled access instructions and detail any ethical restrictions.

Physiology Data

Strength, endurance, and recovery outcomes with protocol details.

Omics Datasets

Sequencing or proteomic data with normalization steps.

Imaging Collections

Microscopy or histology files with metadata.

Clinical Cohorts

De-identified datasets with access conditions.

Data availability statements should specify repository links and access conditions.

Clarify recruitment and activation markers for the muscle populations studied.

Explain how muscle function outcomes were validated and replicated.

Summaries that connect molecular signals to functional performance strengthen impact.

Describe how confounders were handled in longitudinal training studies.

Discuss limitations related to cohort size or model specificity.

Explain how muscle fiber composition was measured and validated.

Report instrumentation settings for strength and power testing.

Describe adverse events or safety monitoring for interventions.

Provide baseline characteristics for all cohorts and subgroups.

Describe how missing data were handled in longitudinal analyses.

Describe how imaging regions of interest were selected.

Document data processing pipelines for omics workflows.

Explain how functional outcomes relate to clinical thresholds.

Include details on diet or energy intake monitoring if relevant.

Clarify how outcomes were normalized to body mass or lean mass.

Explain how confounders were mitigated in observational studies.

Summarize how interventions align with clinical practice standards.

Explain how participants were recruited and retained.

Clarify how exercise intensity zones were defined and monitored.

Data Availability Statements

Statements should describe where data can be accessed and under what conditions. Provide embargo details if applicable.

When datasets cannot be fully shared, describe the limitations and offer a contact path for qualified access requests.

Provide controlled access instructions for sensitive or clinical datasets.

Report exercise protocols with intensity, frequency, and duration details.

Document imaging settings for fiber typing and morphology assays.

Report statistical thresholds used for mechanistic or clinical outcome analysis.

Provide context for translational relevance to rehabilitation or sports medicine.

Document how muscle strength or endurance outcomes were standardized.

State how fatigue or recovery outcomes were defined and compared.

Include calibration routines for dynamometers or metabolic carts.

Explain how nutrition or supplementation variables were controlled.

Summarize how muscle architecture outcomes were quantified.

Clarify sample size calculations and power assumptions.

Explain the inclusion of sex specific or age specific analyses.

Clarify assumptions in computational or modeling analyses.

Describe cross validation methods for predictive models.

Summarize the translational significance for clinicians and patients.

Provide context for comparisons against existing literature.

Describe how muscle injury or recovery phases were staged.

Clarify if data are publicly available or under controlled access.

Describe how mechanistic assays were replicated across samples.

Summarize key limitations and propose future research directions.

Support

Data archiving questions? Contact [email protected] for guidance.

Well documented datasets increase citation and reuse potential.

Indicate embargo timelines if data release is delayed.

Describe normalization steps for metabolomic or proteomic profiles.

Note how animal or human cohorts were stratified by age and sex.

Include details on sample handling to preserve muscle tissue integrity.

Clarify how satellite cell activation was measured and quantified.

Describe how data deposition supports future reuse and verification.

Describe randomization and blinding procedures when applicable.

Clarify the rationale for selected biomarkers and endpoints.

Document compliance rates for training or rehabilitation protocols.

Report effect sizes alongside statistical significance values.

Include time points for follow up and recovery assessments.

Report quality control steps for histology or biopsy processing.

Provide references for validated scales or questionnaires used.

State how training loads were progressed or periodized.

Describe any equipment limitations that could affect outcomes.

Document ethical approvals and consent procedures clearly.

Report variability measures for strength and endurance outcomes.

Provide links to repositories and accession numbers when available.

Report inter rater or intra rater reliability where relevant.

Share Your Data

Improve reproducibility and reach with clear data archiving.