Data Management

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Data management is the process that comprises of all the disciplines related to managing data as valuable resources. It means controlling the information generated during a research project. Any kind of research will require some level of data management.


Data management is a vital part of the research process and can be challenging as well, particularly when studies involve several researchers or are conducted from multiple locations. Type of data determines the need of data management. Throughout the research life-cycle, how data is collected and stored, and how it is used are some of the various factors to be considered for knowing what type of data management is required for a user.


The outcome of your research depends in part on how well you manage your data. Proper data management helps you as a researcher to organize research files and data for easier access and analysis in future. It ensures the quality research and supports the published results of your work. In the long term benefit, accountability in data analysis is another factor to consider.


Effective data management practices include:


- Assigning the responsibilities of every individual related to the study - Determining how much space is required for data storage and back up - Adapting data management plan for streamlined process - Determining the relevance of stored data"




Reference

1. What is Data Management?