Welcome to the Unisa Research Data Management LibGuide. This Guide will provide information on processes, procedures and policy with regards to research data management (RDM), as well as access to resources and tools that can support researchers in managing their data.
It will also serve as a space to pilot platforms for archiving the research data
Please send any suggestions and comments to the compiler of this guide.
What is the research lifecycle?
According to the UK Data Archive,
"...Data often have a longer lifespan than the research project that creates them. Researchers may continue to work on data after funding has ceased, follow-up projects may analyse or add to the data, and data may be re-used by other researchers."
Take a look at the following presentation as well as the selected RDM life cycle models in the box below.
Presentation by Marieke Guy (DCC) Research Lifecycles and RDM
The UK Data Archive provides model to illustrate the Research Data Lifecycle and its associated activities.
The Data Curation Centre (DCC) Lifecycle Model provides a graphical, high-level overview of the stages required for successful curation and preservation of data from initial conceptualisation or receipt through the iterative curation cycle. The model is ideal to plan activities within the organisation to ensure that all the necessary steps in the curation lifecycle are covered.
MANAGING DATA - ACTIVITIES AND ROLE-PLAYERS
Marieke Guy has adapted the above model to show the activities and people involved in managing data.
