An adequate data management infrastructure can help you work more flexibly, easily, quickly and GDPR-compliant. It can also simplify version control and collaboration with research partners. Designing your data management infrastructure is part of your data management plan, so it should preferably take place before you start collecting data.
Every UMC and university offers basic infrastructural solutions for data management and a workflow that can be adapted to the specific requirements of your data. The NFU programme Data4Lifesciences ensures harmonisation of the infrastructural solutions between the UMCs. Various national infrastructures collaborating within Health-RI offer specialised infrastructure solutions. Some UMCs offer a Digital Research Environment or Digital Research Workspace , that helps you to implement the FAIR Principles in your research. Experts at your UMC can help you select an appropriate data management infrastructure for your study. Please have a look at the Toolbox to locate experts.
Selecting a data management infrastructure implies much more than simply selecting a particular database system or storage software. We use the word 'infrastructure' to denote the entire set of principles, process flow, design, architecture, implementation, user interfaces and user (support) applications. Together, these provide an environment to collect, process, monitor, improve and extract data for scientific research purposes, subject to general principles like the 'Code Goed Gedrag' (for observational studies) and the 'WMO' (e.g., for intervention studies), current privacy regulations, and current practices such as Good Clinical Practice and Good Research Practice.