Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific requirements for statistical analyses, software and code availability, data availability, and ethical considerations in studies involving human participants or biological materials. - **Statistics**: Ensure that all statistical analyses are clearly reported, including sample size, measurement methods, statistical tests used, covariates, assumptions, and results (e.g., central tendency, variation, effect sizes, P values). - **Software and Code**: For custom algorithms or software central to the research, provide access to editors and reviewers, preferably through community repositories like GitHub. - **Data**: Include a data availability statement with access codes, identifiers, or links to publicly available datasets, and describe any restrictions on data access. - **Human Participants and Data**: Provide detailed information on studies involving human participants, including recruitment, ethics oversight, and approval of the study protocol. - **Field-Specific Reporting**: Select the appropriate field (life sciences, behavioral & social sciences, ecological, evolutionary & environmental sciences) for specific reporting guidelines. - **Materials & Experimental Systems**: Indicate the relevance of materials, systems, and methods used in the study, such as cell lines, imaging techniques, and animal models. - **Animals and Other Research Organisms**: Follow guidelines for reporting animal research, including the ARRIVE guidelines and considerations for sex and gender in research. For more detailed information, refer to the Nature Portfolio editorial policies and the [Editorial Policy Checklist](#).Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific requirements for statistical analyses, software and code availability, data availability, and ethical considerations in studies involving human participants or biological materials. - **Statistics**: Ensure that all statistical analyses are clearly reported, including sample size, measurement methods, statistical tests used, covariates, assumptions, and results (e.g., central tendency, variation, effect sizes, P values). - **Software and Code**: For custom algorithms or software central to the research, provide access to editors and reviewers, preferably through community repositories like GitHub. - **Data**: Include a data availability statement with access codes, identifiers, or links to publicly available datasets, and describe any restrictions on data access. - **Human Participants and Data**: Provide detailed information on studies involving human participants, including recruitment, ethics oversight, and approval of the study protocol. - **Field-Specific Reporting**: Select the appropriate field (life sciences, behavioral & social sciences, ecological, evolutionary & environmental sciences) for specific reporting guidelines. - **Materials & Experimental Systems**: Indicate the relevance of materials, systems, and methods used in the study, such as cell lines, imaging techniques, and animal models. - **Animals and Other Research Organisms**: Follow guidelines for reporting animal research, including the ARRIVE guidelines and considerations for sex and gender in research. For more detailed information, refer to the Nature Portfolio editorial policies and the [Editorial Policy Checklist](#).