There is little doubt that we have entered an era where digital data underpins modern science and wider research endeavours. To support this, numerous infrastructures have been designed and built to store these data, ranging from proprietary on-premises systems through to commercial clouds and hybrids of both. Such implementations provide a range of functions during the research lifecycle, from provisioning and cataloguing data assets through to storing and presenting data to computing platforms.

These require advanced data infrastructures which can respond to increasing demands for high performance and scale, as well as support rich access models to increasingly complex data. Importantly, research data workflows are different to traditional enterprise patterns of data movement, transactions, and growth. Conventional corporate storage systems are typically not fit-for-purpose as research storage systems from both a performance and business process perspective.

To date, the implementation of research data platforms has largely advanced in an ad-hoc way, often driven by the urgent need to deliver operational infrastructure within a constrained budget and sometimes driven more by what is available in the market than what would provide a powerful, flexible, and extensible system.

In recent work we have proposed and documented an abstract Research Data Reference Architecture (RDRA) which serves as a framework for guiding and classifying real world systems, and a Research Data Implementation Architecture (RDIA) to guide implementers. This workshop is designed to both build a record of real research data infrastructures and measure them against the RDRA. This will both validate the RDRA and provide a practical resource for implementers. 

This workshop is a continuation of a very successful AeRO Forum held at SCA 2024.

Steering Committee

Venue

• Sands Expo and Convention Centre , Marina Bay Sands, Singapore
• Room O6 – Orchid Jr 4312 (Level 4)

Schedule

Photos