 T this is actually what I will do now. In in order to explain the relation with RDA, I need to start again, which is the objective of OpenR. So our objective is to build this open access infrastructure for research in Europe. So the goal is to create an infrastructure which means essentially a platform which provide a number of basic services that can then be used by others to build new applications. So what we have now is that we have defined a number of these basic facilities and some vse zapravene, izgovoril je značen iznočen in vsega uklupnje. However, to je ne vsega, kaj je toh, kaj je to značen, in da je to štev, da je programatico vsega, in način pogleda se način, da se bolj se izgovorila odnočen. Zato je dobro videli, da je izgleda izgleda G.I. in vse zelo je rizčen in izgleda iz vsega aplikacije v izgledovane boljej staviti, ki so taj predstavili. Tukaj, in vse zelo je vse je predstavila, da je pa pristavila koncentru, ki je dobrošljeno, v nekaj našem zelo, in tako dobrošljena je ovrdu naša. Zato však vzgledaj, da je vzgledaj doti. Zato prej ta nekaj več neče zelo, da je izgledaj, da je zelo izgledaj, da je izgledaj o vzgledaj z kvalite in vzgledaj, da je izgledaj o vzgledaj. In je to začila. In na tem infrastratiče je infrastratio forstupovana in skolarna komunikacije. Zato, lahko sližjamo, da se vsoje nalazje z vsošenjem svetu. Tukaj, da sem izgleda del, da se vse nalazje z vsošenje in vsošenje. Ta izgleda je, da se in vsošenje vsošenje je pravno. Vsošenje či se nalazje, da se in vsošenje bo, da se vsošenje, microwave that error in the result would work, but also that in the result would work, but also that who received this information is able to understand what has received. So what is happening is that now in a science which is more and more dominated by data, in order to understand the scientific result the paper, the text is not enough so the three movements that say that in order to better understand the scientific result you need a lot of different komplementarne informacije o kontekstu. V komputeroj, pa je nekaj initiv, kaj je učinil še oprečenje modelu, kaj je vse nekaj učinil še oprečenje modelu. Zelo bolim, da potrebno nekaj učinil še oprečenje modelu, ko je še oprečenje, kaj je vse nekaj učinil še oprečenje. Enem je zame izgledan preizern jeo, tako obišljenje in vredzgledovunje, ki posledali, da prijeznaj do nučiti s taj ravno, to je appezitivna in... ...zere... ...przedevala, da se bila pogledena... ...konc lying, da so pripravili... ...zalit kemi nimi po dobirden skup, če je ovega nekaj invamprovoriljstva se oatmeal, če je tako pripraviljstva po te delbecaste, da je bilo poradni zreizat, da je inovant nekaj... ... Gedanken podlira, da sebe spST, tudi priješljati prijev, ki je kaj predtiv nije reviljaj, zato je nekaj zem vse očanje, zato občaj, zato je zem vse odvore, tudi, ki je to, ki je izvori mnoj experimentov, tudi, ki je izvori mnoj experimentov, in ki se zelo je zelo, zelo je zelo izvore in prijeljno. Zato da je zelo vse, da vse je vse je izjavljen, nekaj bilo zelo zelo začinit. Jih je zelo začiniti, izjavljen. Tukaj je zelo začiniti, kaj je zelo začinit, tako ki so izjavljeni in izjavljeni se zelo. prid Save all this element. What is more difficult is that often these different pieces are not produced by the same community of the author. They have been generated in other contests because now more and more science is multidisciplinary. So you can create an article related to something that has been produced by another community. To prihleduje, da je to nekaj nekaj problemov, či prihleda in teropelivitje data. In tudi da se modimimo tudi, tudi smo prihledali, je prihledali na vseh, prepoznati na vseh zvonitv, that we will try to address which are the basic services that an infrastructure should provide for facilitating the publishing and at models, or no cost to the authors, because this is the focus of an infrastructure for these new kind of publications. So what do we want to address in this working group is actually what are the basic facilities that an infrastructure should provide na požudnji zeprav, da sem potrebno zašlen, da posluhajemo Lisa pojadni opresil, da je na nišem obječenem u kodji od ništih neko se danas najpovršaja. So on je izgledaj objernih zelo, ki smo počugali we have discussed in to propose in the context of our day. Concerninga, the contribution, other contribution that we can we as open-air can give to open-air, let me say that in our day, there are many as we have seen, candidate working group related to technology. Zdaj smo prišličili tehnologi, ki je vse objevno v 2004. V tej periodi smo nekaj nekočnih. Zdaj smo nekočnih teoretičnih nekočnih. Zdaj smo prišličili tehnologi, ki je nekaj nekaj nekaj nekaj nekaj nekočnih. V this sense, the Open誕 consortium can really give an important input to adie. I I have listed a number of candidate working groups where we can participate, bringing which is in our experience. There are register of various types, data framework, data as a service, all the different approaches to interoperability. And I've also mentioned one working group which was proposed by a person, Ian Foster, which is actually one of the father of the grid. But I think that this is very interesting, the title is Overcoming Data Friction. And the idea is that what he's proposing is a working group that want to find mechanism for simplifying the publication of data in such a way that it becomes more easy for all the scientists to publish this data as now we do with Dropbox. So it must be something that is not too complicated to do, in such a way that this data can really be published in an easy way. And also we can really contribute to terminology in Comset because we have been discussing this issue since many years. The other point that I want to raise is what we have seen this morning, that there is a working group in, candidate working group in RDA which I think that has good chances to be approved. Erika Alonsoga, she is here, one of the co-chair of this working group. And here I have just copied some of the focus, some tendencies from the focus of this working group. And the focus is overcoming intellectual property constraints on access to reuse of research data. And as I have understood, the goal is essentially to minimize the legal barriers, especially for public and publicly funded upstream factual input, that actually the stakeholders met when they have to made available their content. So to simplify as much as possible, the way in which the issue that someone that deposit the data has to overcome. Now, so this is the working group. So how open air can contribute? So we have seen this morning that there is a working group, a number of people that really are already working very in depth in the project, in the topic. And it has already been mentioned that all the problems that we have that we are experimenting in combining all the different pieces and uses of the different pieces and they are already studying this problem. I want to add two more points that actually come from our experience. So what I think is that we are in a context of a data infrastructure. So a data infrastructure is an entity that was not existing before. And the way in which we operate create new conditions. And the data providers are not ready yet, so have not yet understood the way in which we are using. So let me make an example. So we are, as infrastructure, we are using, for example, data from aggregators. So usually the aggregators are now aggregating data and publishing them through a website. And in the terms and conditions there is explicitly written, you have to, for example, explicitly cite the source where the data comes. But they don't say we have to explicitly cite our service that we are aggregating. So now we are gathering content from the aggregators. And most of the aggregators are actually complaining because they are offering a service which is the aggregation, but we don't cite them. So this is an issue that this is an example for me that comes from this different word that is being raised and that was not a problem before because, of course, everyone was consuming the data so they were visible. Another point that I want to raise is that the infrastructure is a new entity. So as an entity he also needs to have policy. So who do we allow to, for example, use the infrastructure? So what are, for example, the contract that we sign our providers? Which contract do we sign with other users? This is still, in my opinion, something that is not clear to all and we need to clarify. So this is an input from my side on the working group and also to our expert. And so I wanted to conclude actually saying that a few examples of how OpenAir can contribute to RDA. I want to conclude saying that there is another important contribution that OpenAir can give and it's related to the community that during these years OpenAir has been able to aggregate. So what happened in OpenAir is that we have established links with organizations. This organization in turn has a lot of different other contacts. So what is happening is that there is a sort of, so the problem and solution that we are discussing in the context of OpenAir actually are also being spread in a lot of other different organizations. So all these organizations in OpenAir and Vesvica. So I think that in RDA OpenAir can bring also all these different all these, the contribution and can involve all our or let's say indirect transitivity organization that we have been in some sense collaborating with. So this concludes my presentation and I say that there are more and more other ideas so I'm looking at life and I'm sure that we will be able to collaborate profitably. So thank you.