Creurer Quentin, Vonthron Simon, Hilal Mohamed, Charreire Helene, Napoleone Claude, Pradere Manon, Sanz-Sanz Esther
INRAE, UR Ecodéveloppement, Avignon, France.
INNOVATION, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France.
Data Brief. 2025 Jul 11;62:111850. doi: 10.1016/j.dib.2025.111850. eCollection 2025 Oct.
The dataset presented here draws on several French institutional database sources. The aim is to develop a nationwide database of food outlet locations that can be automatically enriched and updated with a high level of reliability. To this end, we created a flexible and dynamic Python script that can be widely utilized by a maximum of users. Data can be updated either on a daily basis to create a series of files within a limited timeframe, or on a monthly basis to reflect updates to the SIRENE 3.11 database of the national statistical institute INSEE. Starting from SIRENE 3.11, we enriched the data using the (Ministry of Agriculture) and the (organic farmers) databases. We were also able to enhance the accuracy of food environment description by identifying food outlets currently closed, exploiting the BODACC (official trade bulletin) database with its almost daily updating. These data provide valuable support for studies on the food environment at both macro and micro levels. The database's wide range of scales makes it possible to map food sales and distribution outlets, a prerequisite to any investigation of food environments in a given territory.
此处展示的数据集借鉴了多个法国机构数据库来源。目的是开发一个全国性的食品销售点位置数据库，该数据库能够以高度可靠性自动充实和更新。为此，我们创建了一个灵活且动态的Python脚本，可供最多用户广泛使用。数据可以每日更新，以便在有限的时间范围内创建一系列文件，也可以每月更新，以反映国家统计机构法国国家统计局（INSEE）的SIRENE 3.11数据库的更新情况。从SIRENE 3.11开始，我们利用法国农业部数据库和有机农民数据库充实数据。我们还能够通过识别当前已关闭的食品销售点来提高食品环境描述的准确性，利用几乎每日更新的《官方贸易公报》（BODACC）数据库。这些数据为宏观和微观层面的食品环境研究提供了宝贵支持。该数据库广泛的规模使得绘制食品销售和分销点地图成为可能，这是对特定区域食品环境进行任何调查的先决条件。
