An overview of the supportDM course

“What is this whole research data thing anyway?”
“Why should it concern me, what has the library got to do with this?”
“How can I advise on writing a Data Management Plan”

These are the types of questions librarians ask when contemplating involvement in an RDM support service.  John and I met with Sarah Jones and Monica Duke of DCC this week to firm up the course outline and content for the “supportDM” training course aimed at liaison librarians. Here’s what we are telling our colleagues signing up for the course starting in early March.

SupportDM_overview

The five modules of supportDM will tell you all* you need to know to support researchers to manage and share their data. Each session will be introduced by an expert speaker, reinforced by an online module to work through at your own pace. You will also have a small activity to give you practical experience of the types of support we can provide to researchers.

The fortnightly meetings will last 90mins, and we anticipate the online module and task together will take around two hours to be fitted in as convenient before the next session. We will review each module before moving on to the next, so that you can share your experience of what you have learned with the rest of your peer group.

Objectives
• Increase awareness/knowledge of RDM
• Learn what resources to use, and where to get help at UEL
• Build your confidence in dealing with support enquiries
• Become certified to support your CPD

Module 1: An introduction to RDM
This module will give you a basic understanding of the activities and roles involved in the research data lifecycle.

Module 2: Providing guidance and support
This module will cover typical questions and signposting resources. We will look at models employed by other universities to develop support at UEL.

Module 3: Data management plans
This module will give an overview to funder expectations and UEL’s own policy requirements. Exercises will cover how best to support researchers to develop their plans.

Module 4: What data to keep, and why
This module will consider how to work with researchers to identify data of long-term value so it can be shared and curated as appropriate.

Module 5: Cataloguing and preserving data
This module will explain how registers and repositories can aid the discoverability and reuse of research data. We will consider what metadata is appropriate to capture or create and how best to do this.

* Well, lots

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