During this phase the collected data, both the re-used data and the data created for this project, is explored. Things to consider is where to do the analysis, how to transfer the data, who is going to do the analysis, and how the steps of the analysis is going to be documented. Implement a good strategy on data organisation, see e.g. ’A Quick Guide to Organizing Computational Biology Projects’ for advice. If working with sensitive data, there might be a need for extra security measures as well as ensuring that all necessary agreements are in place.
Facilities which offer data analysis services:
- NBIS support (National Bioinformatics Infrastructure Sweden) offers bioinformatic support in various forms for a wide range of areas including NGS, proteomics, metabolomics and biostatistics.
- BioImage Informatics Facility provides support and education in image analysis in order to help users get started with their own analysis.
Facilities offering computational resources:
- NAISS (National Academic Infrastructure for Supercomputing in Sweden) national research infrastructure makes available large scale high performance computing resources. Apply for Small, Medium, Large or Sensitive data allocation, depending on size and type of project.
Please find below resources concerning the research data life cycle phase analyse in form of training, guidance and/or tools.
- BAS Online
- Introduction to data management practices
- NBIS course catalogue
- OpenRefine module
- PhD course in Open Science and Reproducible Research
- Programming formalisms for (life) scientists and bioinformaticians
- R module
- Stockholm trio carpentries events
- Tools for Reproducible Research
- UPPMAX courses and workshops
- Versioning module