Wiki source code of 6.1. Data management process
Version 2.1 by Hyunji Cho on 2022/05/24 14:49
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2.1 | 1 | Large scale urban data acquisition and processing would typically need the collaboration of various stakeholders in the data life cycle. As mentioned in Chapter 2.2., Data governance in cities will operate the following data process. |
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| 3 | Alongside this data lifecycle is the data quality management which is the process of assessing the data in relation to whether it serves the purpose of the research (Lebied, 2018). This should take place at each stage of the data lifecycle (UK government Data Quality Hub, 2020). The rules for determining this will vary at each stage of data management and will be defined based on the project data requirements (Lebied, 2018). | ||
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| 5 | Importantly, the data being handled must be understood by all of its users at every stage of the process. The stages of this process are outlined below and can be summarised by Figure 15. It should be noted, however, that whilst this figure represents a generic data lifecycle process, each specific step will be unique according to the organisation carrying out the process and the datasets that need processing. | ||
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| 7 | In line with the UK Government Data Quality Hub, there are 6 key stages within the lifecycle of data. (UK Government Data Quality Hub, 2020). | ||
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| 10 | [[image:image-20220524154942-1.png]] | ||
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| 12 | Figure 16: Generic stages of a data lifecycle. Taken from UK Government Data Quality Hub, 2020. | ||
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| 14 | The stages of this process are outlined in greater detail throughout the remainder of this section. |
