 I'm going to take over for the last few minutes and talk a little bit about what Elixir has meant for me as someone who's got a leadership role in application of data management, particularly FAIR data, within my research institute. So I'm the head of research data and systems at Roth and Sett Research and I lead a small team of data stewards and research software engineers and we're there primarily to support our three national bioscience research infrastructures. So these are the Roth and Sett long term experiments, the Northwick farm platform, which is a highly censored farm, dairy farm, and the Roth and Sett insects. So we also support our strategic programs and we have some good collaboration there with the UKCEH as well, but really a lot of what we're doing is leading adoption for FAIR principles. And so what does does Elixir do to me to do that? Well, first of all, it gives me access to a much bigger community. So Roth and Sett is part of the UK Elixir community, but not many people at Roth and Sett would necessarily know about it. As Gary says, it gives you access to that peer group. So you can bounce ideas off of each other. You've got access to new training resources and all these other facilities as well. And that's that's a really great help for both making sure that you have validation in the kind of work that you're doing. So you're not going off the tangent, but you are telling the line, so to speak, with what the community is doing. And it also gives me exposure and a profile both within wider community, but also within my own institute. And that that's very important for giving me then agency within mine issue crew to really start leading and advocating for this cultural change, which a lot of fair adoptions about. And that's that's really is quite crucially important because it for a lot of our research scientists, it's still quite a new thing. And that's just a picture of the full hands that we have in W. Gabby Lynch. So one of the projects that I've been involved in as a data student in the Elixir data student program is developing some exemplar data management plans. So this is using the data stewardship wizard, which I think as well as is being adopted by some of the NERC centres as a great poster out there about it. And again, this is very important because a lot of our researchers, they have to write data management plans, but they're not very good at it. Now, they put those words in like fair, but then when you read through, they're not doing fair. So it's a lot of this is about upskilling our researchers to to really understand what they're they're signing themselves up to when they say that they're going to do fair data management in their data management plan. But part of then that is developing the processes to make sure that we can properly resolve that. So one of the things that we've done as part of this is put together some new processes at the ground by stage so that we can really catch the full digital footprint of what some of our projects are going to entail. So that includes not just the research data management, but also the software engineering and the the data infrastructure capacity for that as well. So we've been talking a lot about some of our big phenotype projects or some of the digital twin work that we're doing. These have a really big digital footprint in terms of both storage and computation capacity. And we need to understand whether or not we can cope with that. And it also feeds into the post award data management planning. So most of our work is funded by BBSRC and BBSRC have a very different approach to data management and data work. So if you've ever written a NERC data management plan, you'll know that the meat of that really comes once you get the award. If BBSRC is the other way around and there isn't the same kind of follow up. Now, I think the NERC have got it the right way round. And so what we're doing is implementing some of the NERC practices for data management within our BBSRC funded project so that we really have that end to end data management life cycle. And another piece of work that I've been involved in is around training. So last year we won an award from BBSRC to do a collaborative training as a capacity development piece of work with CIMIT, one of the CGIR Institute. So that's an agricultural research institute across South Saharan Africa. And what Alizar is about in history and some of the access to training I've had there is to take the training materials developed for that workshop and convert that into a data carpentry force, which is I think is a really powerful way of then getting the best use out of that fund. We've now got rather a bunch of PowerPoint slides, a reusable fair piece of training around long term experience that we can then provide and collaborate on the wider research communities. So that's just a quick oversight of what I've been doing, also what Gabby's been doing and just to acknowledge the wider elixir team on the data management. Thank you. Thank you, Gabriella and Richard. I don't know if it's a joke in it or what, but wizards and fellowships, there's something going on. I've got a question because I was involved in the BGS, data management planning system many moons ago. So as regards to the wizard, I presume institutions would, if they wanted to deploy it, install it locally, their own instance, so they've managed their own records. It's not all going into one big pot. So we're using the Klaus version for sure. I'm not sure if you can, I don't know if some of it could see HP, but we don't know if you can deploy your own version. But we're using the Klaus version and it allows you to template data management plans to your particular fund. So we've done one for BBSRC, which is quite lengthy data management plan. It provides good guidance to go through for the kind of questions or responses that you should be providing for different questions of whether it's types of data that you're using and what the destination for those should be, the standards you should be using. It guides you through that. So it's kind of an evolution of what was DNP online, which I think it's still going, but it's a good result. Yes, sure. So yeah, and then there's going to be a EDS instance Right. Just follow the extrusion as a trend. The end should be shared between the nerve-based sensors. In fact, it sounds like it's already sort of been planned. And then it's been quite a test at the moment. Probably also, I assume you can bulk load historical DNPs or maybe that's a conversation. Yeah, that's one of the problems we have is migrating from one system to another is what you do with historical records that are still largely active a lot of time. Yeah, it has been designed to be a much more interoperable system, which I know the group of Oxford who are responsible for fair sharing, one of the activities that they're starting to look at now is how you've got some amount of connotation to data management plan and recommendations based on fair sharing records for the type of repositories and data standards that you should be using for different types of data. So it's making it a more sophisticated system as well. Brilliant. I don't have any other questions unless there's a quick one in the room. Otherwise, thank you very much.