Data Procurement Definition
Data Procurement is the process of acquiring data from a variety of sources. It involves both the collection and curation of data, and can be a complex and time-consuming process.
Data procurement generally begins with the identification of specific data sets that are needed for a project or research study. Once these data sets have been identified, the next step is to locate where these data sets can be found. This can involve searching online databases, contacting individual researchers, or making Freedom of Information requests.
Once the necessary data sets have been located, the next step is to collect and download them. This can be a challenging task in itself, as some data sets may be very large or difficult to obtain. Once the data sets have been collected, they need to be cleansed and organized so that they can be properly analyzed.
The final step in data procurement is to analyze the data in order to extract insights and answer specific research questions. This analysis can be done using a variety of methods, including statistical analysis, machine learning, or text mining.
