Video visualizing the data-related activities typically undertaken in the research data lifecycle. The data lifecycle covers the stages in the existence of digital data: discovery and planning, collection, processing and analysis, publishing and sharing, preserving and reusing.
Video tutorial on how to write a data management plan, for example for a research grant application.
An overview of international governmental organizations such as the World Bank, the International Monetary Fund, the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA) that provide aggregate social and economic data for comparability between countries.
- Which topics are covered by the World Development Indicators?
- Which organization publishes international comparable data on migration?
Video explaining what data management planning is, how you go about it and why it is important. The video illustrates how, when designing design, you can plan which data you will collect, how you will store them, how to describe them, and how to share them with your present and future colleagues. This can be done by writing a data management
- Why is writing a data management plan for research beneficial?
- What would you describe in a data management plan?