Open dataset results from IDEA4 method

From the National Research Institute for Agriculture, Food and Environment (INRAE) and the interprofessional association Bio Centre jointly initiated the SOBRIETY project, which aims (i) to assess the sustainability of farming systems in the Centre-Val de Loire region, France, and (ii) to point out the drivers that contribute to farm sustainability. To do so, 47 farms were surveyed with the released Farm Sustainability Indicators version 4 (IDEA4) method. IDEA4 assess both 3-dimensions (agroecological, socio-territorial and economic) and 5-attributes (embeddedness, self-sufficiency, productive and reproductive capacity of goods and services, Overall responsibility, and robustness) of sustainability at farm-scale. Each dimensions are based on components and associated indicators. Scoring process is based on hierarchical classification, aggregation score and threshold rules. The dataset provide three types of informations : - Biotechnical features : Those data were used to group farms into 3 farming systems based on a hierarchical clustering. - 3 Dimensions, 13 components and 53 indicators results for the three farming systems identified through the clustering. - 5 Attribute indicator scores per farming systems. The last Excel sheet provides the R code used (version 4.1.3) for statistical analysis (2-Way ANOVA and PCAs).本数据集由法国农业、食品与环境国家研究院（INRAE）与跨行业协会Bio Centre联合发起的SOBRIETY项目所构建。该项目设有两大目标：其一，评估法国中央-卢瓦尔河谷大区农业系统的可持续性；其二，明确助力农场可持续发展的驱动因素。为此，研究团队采用已发布的农场可持续性指标第4版（IDEA4）方法，对47家农场开展调研。IDEA4从农业生态、社会-地域与经济三个维度，以及嵌入性、自给自足性、商品与服务的生产与再生产能力、整体责任性与韧性五个属性，对农场尺度的可持续性进行评估。各维度均基于若干组成部分及对应指标构建。评分流程依托层级分类、聚合评分与阈值规则完成。本数据集包含三类信息： - 生物技术特征数据：该类数据通过层级聚类将农场划分为3类农业系统； - 针对聚类得到的3类农业系统的3个维度、13个组成部分与53项指标的评估结果； - 每类农业系统对应的5项属性指标评分。 数据集的最后一个Excel工作表包含了用于统计分析【双向方差分析（2-Way ANOVA）与主成分分析（PCAs）】的R代码（版本4.1.3）。