 Good afternoon, so I'm here to present to you the Marine Science dashboard. And so in marine science, I think the life cycle is the same as in other communities. But just to illustrate how it can look in marine science, let's say we come up with a new method or new instruments, then we can go in the field and deploy that instrument to make a video survey, let's say of the deep sea, or deep sea ecosystems. And from these videos we select the most important images, and then we use software to extract information, to annotate these images, and that creates our data sets. And then we start sharing that knowledge. We can take the form of presentations, posters, and eventually publications. And these can be great literature and literature, or they can be peer reviewed publications. And the goal, I would say, for open air, is to verify these objects, to increase their fairness. And so in marine science, at least in the project I'm involved in, we have several providers of content. We have for literature, obviously, the usual journals. Nowadays we have data journals coming up that are quite useful, and we use it quite a lot. Also specialized journals for modeling or software publications. And then Zododo, which is used to publish pre-publication articles, or also presentations, posters, deliverables in projects. That is used more and more. When it comes to data, we have a lot of data repositories. Some focus on environmental data, some on molecular data genomics, some on imaging, some are aggregating data for operational oceanography, or for fisheries, or for biodiversity. Then we use also GitHub and some institutional repositories for model code, but also a lot of outputs. Another example is protocol.io, which we use for protocols methods. And then we also use social media and ResearchGate to promote and to bring attention to these publications. Now, in Open Air Connect for marine science, we decided to use a trickier approach to aggregate, to start aggregating these contents. The first one is to look at past projects. So aggregate all the content from past projects funded by the EU, but also by national agencies. A second approach is to take a single project. In this case, the Horizon 2020 project called Katanas. It's a medium-sized project. It has 25 partners. And so we decided Open Air Connect is in the description of the work of that project. So it is said that we use Open Air Connect actively from the start of the project to the end of the project to demonstrate how it can help improve the space. And a third approach is to use a network of institutions in marine science, in this case, the Royal Marine, which has a bit larger, 60 institutions. And that approach is mainly to bring awareness, to broaden the awareness in the community. For the first approach, this is a result. It's a survey that was done by the Marine Knowledge Gate. And it surveyed marine science projects, so 10,000 projects, 12,000 outputs in 2016. What I want to show with this, so in the pie chart, the width of the pie is the number of projects and the extent of the pie is the number of outputs. So if we compare FP7 projects to national funded projects, we see that fewer, larger projects tend to bring more outputs compared to lots of national, smaller-scale projects which tend to bring less output. And my point is that initially Open Air was focusing, not even focusing, it was only looking at outputs from FP7. And progressively it started to look at other projects coming out of national funding and other sources, so that you know that figure, so large projects, so few large projects contributing lots of outputs, but now we're looking at lots of small projects with smaller outputs and that's the long tail that you want to address with the national to reach out to the community and reach out to these smaller projects. So that's the Marine Science dashboard that we've looked at the moment. So 600 and more projects, 12,000 publications, or 1,000 something research data sets. Software about 4,000, that's a bit inflated because we see there are all the versions. So for Marine Science it's more than a few hundreds, maybe 500 software, which is already quite good. And I will look at the search functions, I won't show you that. If we look at the monitoring functions, it provides the basic statistics about the access mode, about how the timeline of access to data and outputs. You can look at it split by project as well, and what we would like to work with OpenAir to develop is to have a bit more statistics touching, well, who is, how many are citing the different outputs, who is citing the network of graph analysis and having impact factors. That's something that we would like to develop in the future. In the share function, of course, OpenAir is providing instructions and guidelines where to put the data in open access or in closed access, and how to bring the closed access and outputs into open access. So that's something that we use in our projects. And then linking, so there are algorithms that bring outputs directly in the community, but we miss, OpenAir misses some outputs. So if the linking comes in, you get a claimant combination of datasets or entities. And what we would like to work on is interlinking, are already worked on in that direction, but being able to link all the outputs in lifecycle of your research paper, that's something that we would like to see. Okay, then the second approach with Project Atlas. So what we did, as I said, it's embedded in the project. So we first briefed and trained all the scientists in the project about where to put the data. We have data repositories, there's journals, how to make it open access or other things. And then using Zenodo for all the presentations, the deliverables and posters. And also making sure that they use Worked to identify themselves, making sure that they properly acknowledge all the outputs with the project because that's the way, that's the basic way for OpenAir to link, with Medic to link an output to a project. That's the catch-all that I just mentioned based on that. And then we use the appbox, for example, the claim function, so we can claim all these. So the scientists are doing it in Atlas. And also the monitoring functions where all the outputs are automatically reported to the EC, so that simplifies our reporting procedure in the project. And we also claim that to display it on our website. So these are the benefits that we get from OpenAir. So in the dashboard for the neuroscience community, you can also have what each project has, it's on the page. So that's one way to bring attention to the outputs in the project. And if we look at some statistics, so this is showing that the top 10 H-2020 projects, that's all this has been compounded from 2014, so it's H-2020. So we're quite pleased to see that Atlas is the only marine project that reaches the top 10, which indicates that being, if we use OpenAir in the life of the project, if people are aware of it and using it, then it does improve the reporting and making management of all the outputs. Similarly, if we look at the top 10 of marine science projects, then Atlas is the only H-2020 project in the top 10. All the others are from FP6 and FP7, they're finished, and we expect that they reach the maximum of outputs, whereas Atlas, already midlife, is already part of the top 10. So if we use OpenAir Connect, then it works. It improves our visibility and the access to our outputs. And finally, urban marine. So urban marine has a mandate to address open science. Up to now we didn't have much tools to do it, now we want to use OpenAir Connect, and that might be a way to beyond the life of the project of OpenAir Connect. Urban marine could pick up the curation of the marine science style for it. Yes, so that's our option for the future, we don't have any time to let it sustain.