A Data Spaces Example for Research Data Sharing
Carina Kemp1, David McAmis1 1AWS, Canberra, ACT, Australia
Abstract
Introduction
The complexity of managing and integrating diverse datasets across various domains and platforms has posed significant challenges. In response, the concept of data spaces has emerged as a promising solution for organizing, accessing, integration and analyzing research data.
Method
AWS aims for simple-to-use integrations between the connecting technology required to participate in a data space and AWS services. The AWS implementation of data spaces enables data to be shared in a standardized manner and provides the services and tools to make the most of your own data, as well as third-party data. Data spaces address the discovery and transfer of data assets based on agreements between the participants of a data exchange; the underlying AWS infrastructure enables participants to run the required data space connector in a secure, scalable, and reliable way, but also provides services to support consuming and analyzing the data after transfer.
Results
This presentation will show the results of a proof of concept data spaces implementation for Research Data.
Conclusion
Data spaces are a means for researchers to share data and extract value from enriched data to jointly tackle some of the biggest challenges in our world today: from supply chain transparency to climate change and new medical treatments. Data spaces will ensure that more data becomes available for use, while keeping the data owner in control.
In this presentation, we will provide an overview of what data spaces are, what problems they solve and some examples of its application for sharing research data securely.
Biography
Dr Carina Kemp is the Principal Business Development Manager for Research at AWS Globally. Carina is passionate about enabling researchers to leverage the power of the cloud to accelerate their research. Previously Dr Kemp was the Director of eResearch at AARNet where she led Research Cloud Services enabling researchers with tools and advice for all their data and digital infrastructure needs. Dr Kemp joined AARNet from Geoscience Australia, where she provided scientific and digital leadership at the CIO. At GA, Dr Kemp also led the development of virtual laboratories and high-performance computing to enable geophysical applications for pre-competitive dataset delivery. In a 20-year career, Dr Kemp has always strived to enable research and innovation working for higher ed, industry, government and NGOS. Her interests include open data, data science, machine learning, high-performance computing, communication of science, improving collaboration across science and information technology disciplines, and encouraging leadership and women in science.