nature portfolio | reporting summary

nature portfolio | reporting summary

May 8, 2024 | Dong Zhou, Feiyu Kang
Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific requirements for statistical analyses, data availability, and reporting guidelines for different scientific fields. - **Statistics**: Ensure that all statistical analyses are clearly documented, including sample size, measurement type, statistical tests used, covariates, assumptions, and parameters. - **Software and Code**: Information on any software or code used should be provided. - **Data**: A data availability statement must be included, detailing access codes, identifiers, and any restrictions on data use. - **Human Participants**: Full approval details for studies involving human participants must be provided. - **Life Sciences**: Specific guidelines for study design, materials, and methods. - **Behavioural & Social Sciences**: Disclosure of study type (quantitative, qualitative, mixed-methods) and any relevant materials or systems. - **Ecological, Evolutionary & Environmental Sciences**: Information on field work and relevant materials. - **Materials & Experimental Systems**: Details on antibodies, cell lines, animals, plants, and other materials used. - **Methods**: Specific methods for producing novel plant genotypes, including transgenic and gene-edited approaches. - **Plants**: Source of seed stocks, authentication procedures, and methods for novel plant genotypes. - **Seed Stocks**: Source, catalogue number, and collection details. - **Novel Plant Genotypes**: Methods of production, authentication, and assessment of mutations and secondary effects. For more detailed information, refer to the [nature.com/documents/nr-reporting-summary-flat.pdf](nature.com/documents/nr-reporting-summary-flat.pdf).Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific requirements for statistical analyses, data availability, and reporting guidelines for different scientific fields. - **Statistics**: Ensure that all statistical analyses are clearly documented, including sample size, measurement type, statistical tests used, covariates, assumptions, and parameters. - **Software and Code**: Information on any software or code used should be provided. - **Data**: A data availability statement must be included, detailing access codes, identifiers, and any restrictions on data use. - **Human Participants**: Full approval details for studies involving human participants must be provided. - **Life Sciences**: Specific guidelines for study design, materials, and methods. - **Behavioural & Social Sciences**: Disclosure of study type (quantitative, qualitative, mixed-methods) and any relevant materials or systems. - **Ecological, Evolutionary & Environmental Sciences**: Information on field work and relevant materials. - **Materials & Experimental Systems**: Details on antibodies, cell lines, animals, plants, and other materials used. - **Methods**: Specific methods for producing novel plant genotypes, including transgenic and gene-edited approaches. - **Plants**: Source of seed stocks, authentication procedures, and methods for novel plant genotypes. - **Seed Stocks**: Source, catalogue number, and collection details. - **Novel Plant Genotypes**: Methods of production, authentication, and assessment of mutations and secondary effects. For more detailed information, refer to the [nature.com/documents/nr-reporting-summary-flat.pdf](nature.com/documents/nr-reporting-summary-flat.pdf).
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