The reuse and management of research data is becoming increasingly important. Data-intensive science represents a transition from traditional hypothesis and experimentation, to identifying patterns, and undertaking modelling and simulation using increasingly massive volumes of data collected by thousands of researchers the world over. This means more breakthroughs across research discipline boundaries, and more bang for the research buck.
With some 120 people registered for the first annual eResearch Symposium, the event wasn't exactly a small one, and it's a subject which is garnering increasing amounts of interest (and becoming increasingly important).
A very brief word of explanation about this new section of the eResearch New Zealand site.
eResearch is an increasingly important field, as research produces ever more data (which must be stored and analysed) and is in need of ever-stronger multi-disciplinary collaboration.
In order to talk about advances in eResearch, as well as the people and projects who make it up, then, we've created this blog. We hope you enjoy reading it, and please, don't hesitate to get involved in the discussion - we can't wait to hear what you have to say :)