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Sagot :
Answer:
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Explanation:
Data management is very important on research because it saves time and resources in the long run. Good management helps you to prevent errors and increases the quality of your analyses. Well-managed and accessible data allows others to validate and replicate findings.
Research Data Management is the care and maintenance of the data that is produced during the course of a research cycle. It is an integral part of the research process and helps to ensure that your data is properly organized, described, preserved, and shared.
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Why is data management important in research?
Research data management entails active data organization and maintenance during the research process, as well as appropriate data management after the project's conclusion. It is a continuous process that occurs throughout the data lifecycle. There are citations for data sources.
In the long term, research data management saves time and resources. Good data management can help you avoid mistakes and improve the quality of your analysis. Others can confirm and reproduce discoveries thanks to well-managed and available data.
By creating processes and regulations for data consumption, as well as fostering trust in the data being used to make choices throughout your business, data management helps to reduce the risk of mistakes. Companies can respond more quickly to market developments and client requirements if they have access to trustworthy, up-to-date data.
The purpose of data management is to assist individuals, organizations, and connected objects in optimizing data use within the constraints of policy and law so that they can make decisions and conduct actions that maximize the organization's profit.
Importance in data management and research brainly.ph/question/7663949
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