Research data must be carefully managed throughout its lifecycle. The lifecycle is a representation of stages in your research regarding data collection, use and storage. Sometimes, the data can be used beyond the original research project that created it, so it is important to manage the data well.
“Store and Manage” is at the core of the lifecycle, as how you store and manage your data is integral to every stage. Around the outside of the lifecycle is Data Governance and Research Integrity. Data governance is everything you do to ensure data is secure, private, accurate, available and usable. Research Integrity is conducting research in a way that allows others to have confidence and trust in the methods and the findings of the research.
Many of the stages may overlap. Throughout the lifecycle, it is important to consider the FAIR data principles to share data in a way that enables maximum use and reuse, while considering the CARE principles to manage the unique challenges for Indigenous data management.
