Introduction to the RDARI IG (5 mins)
Key challenges related to Retention and Disposal of Research Data (5 min)
Speaker: Luc Betbeder-Matibet, UNSW Australia, Director Research Technology Services UNSW. Data Retention and Disposal in a joint project across 4 Australian Universities (10 min)
Speaker: Fabian Monheim, Leibniz Institute for Aging (FLI). [Title TBC] (10 min)
Q&A (10 min)
Structured discussion (35 min)
Preparing for the next plenary – Research Data Architectures in the Global South (5 minutes)
Wrap up (5 min)

Additional links to informative material
Group page: https://www.rd-alliance.org/groups/education-and-training-handling-research-data.html
Group wiki: https://www.rd-alliance.org/groups/education-and-training-handling-research-data/wiki/education-and-skills-data-science-wiki

Avoid conflict with the following group (1)
FAIR Data Maturity Model WG

Brief introduction describing the activities and scope of the group
The Research Data Architectures in Research Institutions Interest Group (RDARI) is primarily concerned with technical architectures for managing research data within universities and other multi-disciplinary research institutions. It provides insight into the approaches being taken to the development and operation of such architectures and their success or otherwise in enabling good practice.

Estimate of the required room capacity
30-50

I Understand a Chair Must be Present at the Event to Hold the Breakout Session
Yes

Meeting objectives
 
Click here for the collaborative session notes
 
Researchers are producing larger and larger volumes of data. After the advent of genomic sequencing, the next wave of large volume data is coming off imaging and characterisation instruments, which are able to capture images at ever-increasing resolutions.
For research institutions this brings the challenge of having to deal with increasing volumes of data that are expected to be stored on working data storage. Meanwhile, the price of storage is no longer dropping enough to keep up with the increased demand for storage space.
As a result of this, it is increasingly incumbent upon research institutions to consider ways of deciding which data is worth retaining, which data can be moved onto cheaper storage, and which data can be disposed of. A key element in this process is understanding the data that is actually held on these working storage allocations and who can make decisions on the value of the data within these allocations.
In this session we will hear from several speakers about the infrastructures and policies they are developing to support decision making regarding which data should be retained and which should be disposed of. This will be followed by a guided discussion bringing together perspectives from around the globe.
The objetive of the meeting are

To increase the understanding across research institutions on current discussions in Data Retention and Disposal infrastructures and policies

To share key considerations, best practices and approaches adopted by research institutions relating to Data Retention and Disposal infrastructures and policies

To support research institutions in ensuring valuable data is retained

Please indicate at least (3) three breakout slots that would suit your meeting.
Breakout 2, Breakout 3, Breakout 4, Breakout 5, Breakout 6

Privacy Policy
1