Data management planning of some form has been accepted good practice for many years as a means to ensure that data outputs are managed appropriately. This helps to ensure they are discoverable, reusable and preserved, or conversely – in the case of sensitive data – to be kept under wraps. The production of data management plans (DMPs) is mandated by an increasing number of funders worldwide, and universities increasingly seek to provide services to support researchers in this activity.
Responsible data management has increasingly become an expected element of high quality research. Funding body mandates are reflecting this change, and they now place emphasis on providing evidence of appropriate provision for data management and curation in grant applications.
Open Science is the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable reuse, redistribution and reproduction of the research and its underlying data and methods.
This half-day training course:
This course will explain how the DMPonline tool for Data Management Planning can be customised by institutions. You will be introduced to the concept of templates and guidance used in the tool, and shown the range of options available for adding details of local requirements and support. The course will be based in a computer lab so the examples demonstrated can be tried out in practice.
While Open Access publishing is quite well established in most Universities, managing data to facilitate sharing is less well understood. This event wil
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