Collaboration Across the Nations: Managing, sharing and securing research data across space and time
Dealing with Data 2019 will take place from 09:30 – 16:00 on the 27th of November in the Informatics Forum. This year our theme is “Collaboration Across the Nations: Managing, sharing and securing research data across space and time” and we are now inviting all staff and post-graduate students at the University of Edinburgh to register for this event.
Collaboration is vitally important to academic and commercial research in all areas as it enables the pooling of resources to answer increasingly complex, or interdisciplinary research questions.
The effective collection, processing, and sharing of research data is integral to successful collaborations, but it can also present many challenges. In particular the practicalities of co-ordinating data management across large multi-centre collaborations, sharing large data, or handling sensitive data, can present difficulties if not planned for appropriately.
Dealing with Data 2019 is your opportunity to hear from, and network with, other members of the UoE research community about how they have addressed these issues to build successful collaborations, or the lessons they have learned which will enable them to be more successful in the future.
In previous years DwD has attracted over 100 attendees from across the university to hear contributions by research staff and students at all stages of their careers and from diverse disciplines. You can view the presentations from 2017 & 2018 now on MediaHopper (https://media.ed.ac.uk/channel/Dealing+With+Data+2017+Conference/82256222)
Conference Programme – Dealing_with_Data_2019_Programme_V1.2
If you have any questions please get in touch using email@example.com
Dealing with Data is an annual event sponsored and organised by the Research Data Service to provide a forum for University of Edinburgh researchers to discuss how they are benefiting from, or experiencing struggles with, the fast-changing research data environment.
Research Data Support Officer