Globally, there is an increased need for guidelines to produce high-quality data outputs for analysis. There is no framework currently exists providing guidelines for a comprehensive approach in producing analysis ready data (ARD). Through critically reviewing and summarising current literature, this paper proposes such guidelines for the creation of ARD. The guidelines proposed in this paper inform ten steps in the generation of ARD: ethics, project documentation, data governance, data management, data storage, data discovery and collection, data cleaning, quality assurance, metadata, and data dictionary. These steps are illustrated through a substantive case study which aimed to create ARD for a digital spatial platform: the Australian Child and Youth Wellbeing Atlas (ACYWA).

翻译：全球范围内，对高质量分析数据产出的指南需求日益增长。目前尚无现有框架能够为生成分析就绪数据提供全面指导。通过批判性回顾并总结现有文献，本文提出了此类分析就绪数据的创建指南。本文提出的指南涵盖了生成分析就绪数据的十个步骤：伦理规范、项目文档、数据治理、数据管理、数据存储、数据发现与收集、数据清洗、质量保障、元数据及数据字典。这些步骤通过一项实质性案例研究加以阐释——该案例旨在为数字空间平台"澳大利亚儿童与青少年福祉地图集"创建分析就绪数据。