 So, today we're going to talk about development and activity called research graph. And research graph is an activity to help understand what the impact is for datasets that have been published, you know, a particular site and how they're used in the research world, you know, from publications or other ways that that data set and the information from it has a life beyond just publishing that data set. So a couple of the open questions, you know, how does it connect globally, you know, what's the investment of that data or is there other derived work from it? So in our case, we've got plenty of datasets in the earth system. This happens to be one, we run a catalogue system. Information is recorded about that data set, its title, who the point of contact is. And we're really looking to say once we publish that data, how, you know, how is that used and how's that referenced outside of the community, outside of the centre. And so through this research graph software, we're able to take this local graph information information system, and then we're able to connect this together with external information that might be in awkward systems or out in publication world to link those two bits of information together and allow us to mine that. So by running this research graph, we can harvest all our local information. We go through an augmented augmentation process with other information systems further field, bring that back locally and then we can analyse those connections.