Skip to content
Start main Content

Research Data Services Training

March 19-20, 2019


To engage service providers and evaluate the current landscape of service provision at HKUST and to build on this for future infrastructure development. This will be presented through some hands-on exercises, including the use of the Research Infrastructure Self Evaluation tool that was developed at the DCC (Rans, J and Whyte, A. (2017). ‘Using RISE, the Research Infrastructure Self-Evaluation Framework’ v.1.1 Edinburgh: Digital Curation Centre.



Tuesday 19th March 2019 – Introducing data services and mapping your institutional position

Time Session Presenter
9:30 Welcome and introductions with exercises All
10:30 The changing data landscape

A high-level talk on why it is important to manage and share data, policy drivers and technical changes that make this important yet challenging.

11:15 Coffee  
11:30 Introduction to RDM services

On overview to the different services a university may offer to support researchers throughout the life cycle and the internal and external stakeholders and collaborations

12:30 Lunch  
13:30 RISE workshop

After a brief introduction to the RISE tool, participants will use the tool to evaluate the services at HKUST and also to establish future services that need to be developed.

15:00 Coffee  
15:30 RISE workshop cont’d All
17:00 Group Photo, and Close  


Wednesday 20th March 2019 – Beginning to plan, deliver and improve RDM services

Time Session Presenter
9:30 Defining your roadmap

Building on the outcomes of the RISE workshop on day 1, participants will work in small groups to identify priorities

10:30 Coffee  
11:00 Supporting DMPs

This session will think about different ways you could assist in developing and implementing DMPs e.g. using tools, providing guidance, offering plan reviews, connecting research systems

12:00 Lunch  
13:00 Support data publication and sharing

This session will consider support that is offered via the Dataverse repository and external domain repositories e.g. metadata for deposit, PIDs, ORCIDs, altmetrics, and how things can be improved.

14:00 Coffee  
14:30 Engaging researchers

This session will consider ways in which you can engage researchers in open and FAIR data practices e.g. via training, events, ambassador programmes and other initiatives.

15:30 Wrap-up All
16:00 Close  

Go Back to page Top

last modified 25 May 2023