Analyse & Visualise
After organizing the data collected in the initial stages of research it is the task of the researcher to turn data into information, allowing exploration, analysis and interpretation. Again there is a multitude of tools and technical options to aid the researcher in this process.
Data Management rules of thumb:
- Never KEEP your research data in analytical systems, working environments or devices. These are not designed to ensure the retention and sanity of your data in the long run.
- After concluding the analysis of (personal) data. The data should always be copied to a trusted, secure and accessible location where you can manage it and keep track of different versions.
- After securing your processed data and analytical results. Remove the data from the analytical system, environment or device.
For specific technical questions about aspects of data science (automation) and processing and visualising geospatial or 3D data we have close ties to data experts at the CIT and for computing power we can find an answer to your questions for you with the HPC team.
The University of Groningen also offers a wide variety of (research) applications on the University Workplace to help researchers analyse and visualise their own data.
|Last modified:||03 October 2022 11.32 a.m.|