Once you have finished data collection, it is time to answer your research question. You are now ready to process and analyze your data. In this phase, you will clean your data, again the specific tasks this entails will depend on the data you have collected. This may include formatting your data, removing duplicated and ensuring consistency. You may also use other tools such as transcription software, don’t forget to make sure the tools you use are safe and supported by the VU. If you are unsure if a tool is supported by the VU, reach out to the Research Data Support Desk.
Next you will analyze your data to answer your research question. If you are developing code (R, Python, SPSS) to analyze your data, don’t forget to include comments and create a codebook. You may also use other tools such as Atlis.TI.
Again, you should be documenting the steps you take while processing and analysing your data throughout your project. It is also important to consider version control at this point.