MANAGING DATA AND KNOWLEDGE
Data management is the process of controlling the information generated during a research project. Any research will require some level of data management, and funding agencies are increasingly requiring scholars to plan and execute good data management practices.
Managing data is an integral part of the research process. It can be challenging particularly when studies involve several researchers and/or when studies are conducted from multiple locations. How data is managed depends on the types of data involved, how data is collected and stored, and how it is used - throughout the research lifecycle.
The outcome of your research depends in part on how well you manage your data. Managing data helps you as a researcher organize research files and data for easier access and analysis. It helps ensure the quality of your research. It supports the published results of your work and, in the long term, helps ensure accountability in data analysis. Effective data management practices include:
- Designating the responsibilities of every individual involved in the study.
- Determining how data will be stored and backed up.
- Implementing the data management plan.
- Deciding how data will be dealt with through each modification of the study.
Database approach is a computer based storage technology in which related data is shared by various application programs. It is an improvement of traditionally file-based approach of storing data or information. It is characterized by a database management system and one or more databases
.
ليست هناك تعليقات:
إرسال تعليق