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.
- Dr. S. Venkataraman, Research Data Specialist, Digital Curation Center
- Ms. Sarah Jones, Associate Director, Digital Curation Center
Tuesday 19th March 2019 – Introducing data services and mapping your institutional position
|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.
|11:30||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
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.
|15:30||RISE workshop cont’d||All|
|17:00||Group Photo, and Close|
Wednesday 20th March 2019 – Beginning to plan, deliver and improve RDM services
|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
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
|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.
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.
last modified 22 March 2019