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).

由国家农业、食品与环境研究院（INRAE）与跨行业协会Bio Centre联合发起的SOBRIETY项目旨在（i）评估法国中央-卢瓦尔河谷地区的农业系统可持续性，以及（ii）指出促进农场可持续性的驱动因素。为此，项目通过IDEA4版本（Farm Sustainability Indicators 4）对47个农场进行了调查。IDEA4方法评估了在农场规模上的可持续性的三个维度（农业生态、社会地域和经济）以及五个属性（嵌入性、自给自足、商品和服务的生产及再生能力、整体责任和韧性），每个维度均基于组成成分和相关指标。评分过程基于层级分类、聚合评分和阈值规则。该数据集提供了三种类型的信息：
- 生物技术特征：这些数据用于根据层次聚类将农场分为三种农业系统。
- 三个维度、13个组成部分和53个指标的聚类识别的三种农业系统结果。
- 每个农业系统的五个属性指标评分。
最后一张Excel表提供了用于统计分析（双因素方差分析和主成分分析）的R代码（版本4.1.3）。