 Hi, I'm Finella, and if you don't already know where I work, that's great because I want this presentation to be about what I'm talking about, not where I currently work. Visualisation of data. How can we bring our collections alive for any audience and make it engaging? We really need to make that more interactive and effective in the way we interact with the data that we have. We need to make that accessible and standardised. So imagine you have a global map of your data. How does that look? How do we make that effective and link it back to the actual object or collection that we're working with? So imagine we're looking at the Gettysburg Address, and as you look at that we can start to pull up all the different types of scientific data that tell us about the content, the handwriting, the particles, the processing. What does the ink look like and the thumbprint, which might be Lincoln's? How do we connect the scientific and the digital humanities together? The hyperlinks between that that help the curators think about their collections, but no, it's not connecting, it's integrating. We're integrating that data together. We're making that social media component to bring the data alive. What are some of the challenges? It's transdisciplinary, not just multi. We're going across. We're not segregating our disciplines but integrating them. We're linking the content back to the original object, and we're trying to get away from the proprietary data components. Just an example of large data when we talk about spectral imaging, we can get one to two gig just from one capture of an image. What does that mean? What does that look like? And how do we actually access all those components together? So what we actually see with that is what I affectionately call shooting in the dark. There's different information in every one of these wave bands that we capture from the original object. And then we can take that further and take it a little bit to what do we see within each of those bands. You'll see things start to appear and disappear as we go through all the different bands here. And the way we process that data brings different parts of it alive. Also, we can take that a little bit further and say, well, how much data do we get from one single document? We can get up where 24 to 30 gigabytes. That's a lot of data, but with public domain we want to make it accessible. We also want to show the different components of the hidden text that's within our collections that we didn't know was there. So taking it back to the challenges that we have, well, manufacturers don't really like making metadata available. We have to push through and make them want to share it. We can do that. We're doing it. And researchers are restricted in how they can access that if they don't have the same software. We have to push through that. The one token slide, don't be afraid. Underlying this visualisation, we have to have a robust database to support that and make it available and easy to integrate data into that. So an example of bringing that alive, the Voltsumula 5007 world map, the first map to refer to America. When we look at this with different types of imaging, we can look at the first reference to America there. And we can look at the central sheets that originally had cartographic lines that had faded over history. Well, those don't exist anymore, but with this special imaging we can bring those back. We can show where they were. We can do a little bit more processing even so and show where they start and finish. For a curator, that's really important back in 5007. As a scientist, I need the curator to tell me that's important. We have to integrate. We can then look at how do we process that differently to see what the original wood block might have looked like. What tools did they have in 5007? We're pulling the curatorial and the scientific together and making it come alive. But wait a minute, 5007. That's a long time ago. What did the world look like in 5007 compared to now? When we spin on what they had in 5007, they knew a lot about the bottom of South America there. What journeys were people sharing? How do we link that together? So, let's bring that together again. We're layering this data in terms of all the different types of scientific information and we're linking it back to what the curators know and understand about these collections. Making it alive, linking it, layering it, taking it one step further. What's the geospatial component? What parts of our collections aren't linked yet that we know about? So, here's the 1513 Ptolemy Geographia. When we looked at this and we went through some of the different papers that were used in it, we found a crown watermark that might be kind of interesting. But what's even more interesting about that is that we could actually link the Ptolemy with the watermark from the Voldsimula. Well, cutting a really long story short, we have now put those two documents together and everyone who worked on them. They start in 1506 in Sundia. Their funder comes alive to print the Voldsimula map. He dies. They regroup. They go to Strasbourg. They finally get back to printing the Ptolemy Geographia. You didn't know that they could link those documents together. So, what do we have? We need to integrate the visualisation through the object. We need to create a shared language and we need to have a transdisciplinary linking breaking down the silos. Thank you.