Here is ChatGPT’s answer on March 28, 2023 (ChatGPT Mar 14 version, https://chat.openai.com/chat):
Data sourcing is typically considered part of the broader field of data management. Data management encompasses all aspects of the data lifecycle, including data acquisition, storage, processing, analysis, and visualization.
Data sourcing specifically involves the identification, collection, and integration of data from various sources. This process often requires a deep understanding of the business or research objectives and the types of data needed to achieve them.
Data sourcing may also involve data cleansing, normalization, and transformation to ensure that the data is suitable for analysis. These activities may involve expertise in fields such as data engineering, data governance, and data quality management.
In summary, while data sourcing is not a discipline on its own, it is a key component of data management and requires expertise across various related fields.
I strongly agree. Great job ChatGPT!
I particularly like the summary sentence. I would even say that data sourcing is a pilar of data management because without any data being fed from outside the organization, opportunities to perform data analyzes or to feed business processes are limited.
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