nature portfolio | reporting summary

nature portfolio | reporting summary

Jan 18, 2024 | Sebastian Grönke and Linda Partridge
Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific guidelines for statistical analyses, software and code availability, data availability, human research participants, field-specific reporting, and materials and methods used in studies. - **Sample Size**: Provide the exact sample size for each group/condition. - **Measurement Method**: State whether measurements were from distinct samples or repeated on the same sample. - **Statistical Tests**: Describe the statistical tests used, including their type (one- or two-sided) and any assumptions or corrections. - **Covariates**: Explain any covariates tested. - **Statistical Parameters**: Include central tendency (means), variation (standard deviation), and uncertainty estimates (confidence intervals). - **Null Hypothesis Testing**: Provide test statistics, confidence intervals, effect sizes, degrees of freedom, and P values. - **Bayesian Analysis**: Include information on prior choices and Markov chain Monte Carlo settings. - **Hierarchical Designs**: Identify the appropriate level for tests and report outcomes. - **Effect Sizes**: Provide estimates (e.g., Cohen's d, Pearson's r) and how they were calculated. - **Custom Algorithms**: If custom algorithms or software are central to the research, they must be made available to editors and reviewers, preferably deposited in a community repository like GitHub. - **Data Availability Statement**: Provide access codes, unique identifiers, or web links for publicly available datasets. - **Restrictions**: Describe any restrictions on data availability. - **Clinical Data**: Ensure compliance with policies for clinical datasets or third-party data. - **Approval Information**: Provide full details on study protocol approval. - **Life Sciences**: Disclose information about antibodies, cell lines, animals, clinical data, and dual-use research of concern. - **Methods**: Provide details on specific methods such as ChIP-seq, flow cytometry, and MRI-based neuroimaging. - **Antibodies**: List primary and secondary antibodies used, including their sources and validation details. - **Validation**: Provide references for antibody validation, including publications and assays. - **Animals and Other Research Organisms**: Follow guidelines for animal research and ensure full approval information is provided in the manuscript.Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific guidelines for statistical analyses, software and code availability, data availability, human research participants, field-specific reporting, and materials and methods used in studies. - **Sample Size**: Provide the exact sample size for each group/condition. - **Measurement Method**: State whether measurements were from distinct samples or repeated on the same sample. - **Statistical Tests**: Describe the statistical tests used, including their type (one- or two-sided) and any assumptions or corrections. - **Covariates**: Explain any covariates tested. - **Statistical Parameters**: Include central tendency (means), variation (standard deviation), and uncertainty estimates (confidence intervals). - **Null Hypothesis Testing**: Provide test statistics, confidence intervals, effect sizes, degrees of freedom, and P values. - **Bayesian Analysis**: Include information on prior choices and Markov chain Monte Carlo settings. - **Hierarchical Designs**: Identify the appropriate level for tests and report outcomes. - **Effect Sizes**: Provide estimates (e.g., Cohen's d, Pearson's r) and how they were calculated. - **Custom Algorithms**: If custom algorithms or software are central to the research, they must be made available to editors and reviewers, preferably deposited in a community repository like GitHub. - **Data Availability Statement**: Provide access codes, unique identifiers, or web links for publicly available datasets. - **Restrictions**: Describe any restrictions on data availability. - **Clinical Data**: Ensure compliance with policies for clinical datasets or third-party data. - **Approval Information**: Provide full details on study protocol approval. - **Life Sciences**: Disclose information about antibodies, cell lines, animals, clinical data, and dual-use research of concern. - **Methods**: Provide details on specific methods such as ChIP-seq, flow cytometry, and MRI-based neuroimaging. - **Antibodies**: List primary and secondary antibodies used, including their sources and validation details. - **Validation**: Provide references for antibody validation, including publications and assays. - **Animals and Other Research Organisms**: Follow guidelines for animal research and ensure full approval information is provided in the manuscript.
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