RDM refers to the organization, collection, storage, documentation, preservation, and dissemination of research data. A good data management plan (DMP) will cover all sections of the research data lifecycle:
Source: Jisc. (n.d.). Research Data Lifecycle. Research Data Management Toolkit. Retrieved January 29, 2021, from https://rdmtoolkit.jisc.ac.uk/research-data-lifecycle/
CC BY-ND licence
The Tri-Agency Statement of Principles on Digital Data Management and the Draft Tri-Agency Research Data Management Policy highlight the importance of planning for, and managing the data created by, your research projects. Many academic journals and publishers are now asking for data to be shared as part of the peer-review and publication process - an example of such policies can be found here: Data Sharing Policy for Wiley. The first step to being able to meet these new expectations in scholarly communication is to create a plan to manage the data you create and this guide is here to help!
Why should you think of data management as an integral part of your research?
Proper data management will help you:
The overall benefits of RDM:
Source: Portage Network. (2019, January). Research Data Management (RDM) 101. https://portagenetwork.ca/research-data-management-rdm-101/
Data can take many forms. If your research generates:
You are a data creator and will benefit from proper data management.
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