Guidelines for the Creation of Analysis Ready Data
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913335353540608 |
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| author | Phillips, Harriette Price, Aiden Forbes, Owen Boulange, Claire Mengersen, Kerrie Reeves, Marketa Glauert, Rebecca |
| author_facet | Phillips, Harriette Price, Aiden Forbes, Owen Boulange, Claire Mengersen, Kerrie Reeves, Marketa Glauert, Rebecca |
| contents | Globally, there is an increased need for guidelines to produce high-quality data outputs for analysis. No framework currently exists that provides guidelines for a comprehensive approach to 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 that aimed to create ARD for a digital spatial platform: the Australian Child and Youth Wellbeing Atlas (ACYWA). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_08127 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Guidelines for the Creation of Analysis Ready Data Phillips, Harriette Price, Aiden Forbes, Owen Boulange, Claire Mengersen, Kerrie Reeves, Marketa Glauert, Rebecca Databases Data Analysis, Statistics and Probability Other Statistics Globally, there is an increased need for guidelines to produce high-quality data outputs for analysis. No framework currently exists that provides guidelines for a comprehensive approach to 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 that aimed to create ARD for a digital spatial platform: the Australian Child and Youth Wellbeing Atlas (ACYWA). |
| title | Guidelines for the Creation of Analysis Ready Data |
| topic | Databases Data Analysis, Statistics and Probability Other Statistics |
| url | https://arxiv.org/abs/2403.08127 |