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Research Data Management

When you are doing research, good data management practices and transparency are essential. This toolbox provides practical information and guidelines for both PhD students and researchers when working with research data.

Data analysis

Although data analysis is an ongoing process throughout the research project, this page focuses on the analysis of the data subsequent to its collection. To ensure that research is empirical and verifiable, it is crucial that researchers keep records of every step made during the data analysis.

Analysis essentially refers to breaking down a whole into its separate components for individual examination. Data analysis converts raw/processed data into information that is useful for understanding. Many steps may be required to gain useful information from raw data. The process of cleaning and analysing data may require computing power not readily available or specific storage and protection options. If multiple parties are involved in the analysis, data sharing may also be necessary.

If you want to read up on data analysis you should check out what journal articles and books your library has available on the subject:

For every step of your data analysis, good data documentation is necessary.