Processing

It is during this phase that the data is prepared for analysis. This includes steps such as format conversion (ensure that the format is suitable for analysis), quality check and cleaning of low quality data, filtering data from larger datasets (so that only the data needed is kept), and combining datasets (ensure that they are compatible). For reusability purposes, it is important that all steps during the processing of data are documented.

Resources

Please find below resources concerning the research data life cycle phase process in form of training, guidance and/or tools.

Training resources

• Introduction to data management practices
• OpenRefine training

Guiding resources

• Infectious Diseases Toolkit on Quality control
• RDMkit on Data quality
• RDMkit on Processing data
• Research Involving Human Data by Richelle Björvang
• Storage resources available for researchers in Sweden

Tools

• OpenRefine
• protocols.io