 I guess we can just start a little bit I won't like be starting I hope still that some people will come 9.15 but we were we wanted to kind of give you a little bit background introduction into why we're doing dealing with like these 3D brand atlas and what we're using them from and kind of our perspective on this so what we're aiming to do with the human brain product we're aiming to integrate heterogeneous neuroscience data into one platform and making possible to find it and find data and access it and have them quite intraproportable to be able to use it together and analyze it further in the data curation team we receive a lot of different types this disparate neuroscience data from data producers within the human brain project and we try to integrate together and registering similar metadata and one of like the common denominators that we are very yeah and that we use and is of course location in the brain because all data sets often like have an association to a position within the brain like very specific or maybe a little bit more broad and I guess this this is kind of the main topic also for today that we use position in the brain to think about and understand the brain so I guess when when you search for information online what we have found is that research results can be very overwhelming and a little bit unstructured you can find articles images tables diagrams but they often have various use of nomenclature formats units yeah so it can be a little bit difficult and to understand how how I'm gonna like build this into something I can make sense of and put beside and I guess this can feel like an overload like both for experienced researchers and and youngest researchers because it does take a lot of time to do like a thorough screening of all information available for the topic that you're interested in and so this is definitely a challenge today and and I guess on the other hand and today only kind of a small portion of all research is available for the reader so these are often interpretations or research results presented in scientific papers while the data that this is built on is sometimes on a dusty shelf somewhere and not presented and we it's maybe lost which is a pity I think so currently could almost say that links between researchers are a bit blocked there's like paywalls if you want to read an article and sometimes you can't and there's also need to personally get in touch with each other to just to know if what another group or another researcher is doing is of interest to you and I guess this can be a bit frustrating because we want to be efficient and yeah optimize like research and I guess this can actually slow down important research yes so the data creation team this is kind of the challenges that we're trying to tackle and we're trying to make newer scientific research data more discoverable accessible reusable and to get the most out of research that's kind of big goal and we do this by curating all the data that we receive and that we want to make available to users and creation is defined as the action or process of selecting organizing in looking after the items in a collection and of course in this context a collection of newer scientific data yes so trying to integrate all of our data into a knowledge graph a graph system and we register metadata and so data about data and such a species or location in the brain as I mentioned and link a data set collection of data to metadata categories so that the data set can be queried and accessed and downloaded for further use around the world and we strive to follow the fair principles which you might have heard of before I hope and so the fair principles for data management and stewardship and when we tag a data set with metadata we make it findable you can search for it in a search engine and we try to make our data accessible and downloadable via persistent identifiers and giving clear terms of use and by presenting the data files in open formats they can also be interoperable with tools and yeah to open in different programs that you want to use them in and to integrate with other data of similar formats and I guess all of this including like more detailed descriptions of methods and materials makes a data set more reproducible and reusable so when data is created and made available for other researchers to use it yeah so the data creation and tries to create a research infrastructure so that we can connect different people in the field together from students to professors clinicians and modelers and I guess we we want to ultimately unleash the potential of all the scientific contributions that are delivered to our team and we want to yeah help answer the big questions of course about the brain and its diseases and yes so we use location in the brain as kind of one of our main common denominators and how do we do this so I don't know if you can see this but we receive together with the data set we we receive some information about where in the brain the data was from so we call this used to define location documentation and this can be terms and descriptions for example hippocampus ci1 maybe they reference a reference atlas maybe they don't they can also give us coordinates this can be linked to a stereotactic brain atlas or a landmark such as breakbound or lambda or it can be defined in a coordinate space that we can interpret and translate to the coordinate spaces that we are using or it could be in form of a brain section image where we can see where they took the sample or maybe the whole brain section image is actually the data maybe it's histology it could also be like a brain volume and we have several atlas integration procedures so if we receive a term we try to translate it as good as we can to one of the atlas that we use in HPP so we use Vaxxon space atlas of the red brain we use all mouse brain atlas and we have several human brain atlas I guess you will learn more about that but what we're going to talk about today is the the image registration and so both 2d to 3d image registration but also 3d to 3d image registration and we have some tools and workflows analysis analytic workflows that also builds on this registration yes and when we have done what we have done we register the metadata and we integrate the location metadata then we're able to present the data sets in our search engine it's called the knowledge graph search you can find it from human brain project.eu website and we also have a brain viewer and there you can also query a for data set from the viewer so we will look a little bit more at this