[James Wilson]

Collaborative session notes: https://docs.google.com/document/d/1kpBHO5rZdc5-j-Qjw7HHlRarB2-6NSFZmr70wy9nQJg/edit
10 mins: Introduction to RDARI and scene setting
10 mins: Challenges at UCL designing an interoperable infrastructure (James Wilson)
10 mins: Challenges at the University of Cape Town designing an interoperable infrastructure (Renate Meyer, Kimi Keith)
70 mins: Plenary discussion on drivers and challenges
10 mins: Wrap up and Next steps

Applicable Pathways
Data Infrastructures – Organisational to Environments

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 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.
The main themes of the IG are

Exploring how diverse tools, technologies, and services can be integrated to meet the evolving needs of researchers in research institutions.

Considering interoperability between institutional research data infrastructures and (inter)national or discipline-based infrastructures

Understanding the different institutional approaches to governance structures and business processes in responding to research ICT demands (e.g. capacity planning/forecasting for storage)

Sharing case studies of solutions developed by data infrastructure projects in research institutions

Presenting technical innovations and ideas that can further the development of integrated research data infrastructures

Agreeing best practice relating to research data architectures in research institutions

More information at https://www.rd-alliance.org/groups/research-data-architectures-research-institutions-ig

Group chair serving as contact person
James Wilson

Meeting objectives
As research institutions expand and improve their data management services, so, inevitably, the complexity of their data architectures increase. Getting an institutional data repository to talk to a research management and reporting system may be a challenge, but integrating both with a managed data storage system, a project costing system, HR records, data management planning tools, HPC systems, and the myriad of data generating tools that researchers rely on in their specific disciplines can seem overwhelming.
This session will explore the need for interoperability between institutional systems and services, and the challenges that such interoperability presents. Does it really matter whether data management systems can pass data and metadata between each other? If so, where is this most important? Where are the pain points? How can these best be addressed?
Beginning with a couple of examples from institutions actively wrestling with these questions, this session will provide a forum for people to share their own challenges, experiences, ideas, and suggestions. The emphasis of this meeting will be on establishing and prioritizing shared challenges rather than finding immediate solutions to every issue raised (although we would welcome anyone who has already solved them all!).

Please indicate the breakout slot (s) that would suit your meeting
Breakout 1, Breakout 3, Breakout 4, Breakout 6, Breakout 7, Breakout 9, Breakout 10, Breakout 12, Breakout 13, Breakout 15, Breakout 16, Breakout 18, Breakout 19, Breakout 21, Breakout 22, Breakout 24

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