 how to serve data and how to do that, regardless of technologies, disciplines, and countries. And its particular mission is to provide the policies, the social and technical approaches, that's how to do exactly that. If you look at numbers, RDA is a rather big organization. It has about 9,000 individual members from about 140 countries around the world. And most of them are from academia and research, but there's a significant percentage of the participants coming from public administration and enterprise industry. So the RDA in very short is member-based. So all participants are mostly volunteers in providing their effort in there. And what they do is they provide to identify exactly what would be the best practices, the accommodations, the policies that can be applied to all aspects of data, project-specific needs from very general to very specific. I have a very short list of the current structure of RDA in terms of aims. And I'll try to focus mostly on lifestyle-specific ones. In total, RDA consists of about 100 groups, of them the 35 are working groups, which are short-term and very focused groups with a concrete outcome as a deliverable. And about 67 interest groups that are more long-term and with more broad contexts. And these provide general structure to identify missing gaps, challenges, and so forth. As you can see, there are a lot of domain-specific, domain-focused working groups. The most interesting ones in this context are the Act of Samadhi, the first-year registry, which actually produced a lot of the service principles for software-based data. And there are a lot of working groups that provide targeted, you know, the target outcomes for particular cases like the RIS data, the WIC data, reproducible health data services, biodiversity, health data, and so forth. And also a few pregnancy groups, and I'm very happy to mention that Elixir actually has a presence within RDA as well, with a bridging force interest group that actually tries to cross-communicate any advances between RDA and Elixir in that sense. And there are also a few that are more broadly connected to how data can be used from data citation, data collections, and data discovery ones. And those tend to focus a lot on what are the underlying challenges for data itself. And finally, we have also community-specific groups that target either career groups, career professionals, or in conjunction with Codata for RIS's data science course, or reviewing educational aspects, ethics, and social aspects, and so forth. The final one are basically the infrastructure perspectives, and they connect to data sharing and services which have been really blossoming in the past few years, as well as groups that are specifically focusing on the infrastructure that is required to ensure data are efficiently used. I want to have only a single slide connecting RDA to more specific biomedical sciences. There are two notable three, notable highlights here. I mentioned earlier, it is a first-year working group, and the links are all in the slides, and I'm going to be showing the slides after this event. The first-year actually tries to connect one of the guidelines, the principles, one should have in order to link data, repository standards, and policies if you're looking in the biomedical domain. The Elixir Prison Force tries to ensure that any activities happening within Elixir can reflect what are the corresponding data policies that are established by RDA, and vice versa. So in terms of their upcoming within Elixir, it can also be referred to RDA and try to assign solutions. And finally, and this is more related to the support of this event, the RDA Ambassador's Program actually has elected a few people from around the world to particularly focus and provide feedback on domain-specific pillars. And we have the marine sciences, the health sciences, and ethics, agricultural science, and bioinformatics here is missed. And the final few slides, I want to really highlight an effort that's been coming up within RDA. And of course, within life sciences are but more specifically for COVID-19, and this is the COVID-19 working group. We started a few weeks ago after a discussion with the commission about it. And the aims is to provide detailed practical guidelines so data-sale in order to address the circumstances and also how to extract and to extend these guidelines for policymakers in order to ensure that if there is such a similar health emergency in the future, we can have appropriate responses to it. And there is a set of expected levels that are going to be released for public discussion at the end of this month. And there's final documents by the end of June. And these include perspectives and guidelines for subgroups, recommendations for researchers, a couple of key resources, and a decision to ensure that one can sort of navigate to all those resources without getting lost in the recommendation. The first news was already out on April 24th, last two weeks ago, with a high level summary of everything that's out there. It's already published on the RDA website. The second news was last Friday, but now includes two more subgroups that address horizontally the subgroup and the legal and ethical aspect subgroup. And the timeline is that the end of this week, we're going to have the third news by the end of the week after, Friday, 15th, we're going to have a new more coherent structure of the entire document as a fourth release with the final being released as out for comments on at the end of this month and with the final endorse documents being available at June. And with that, I thank you for your time. And I'm really looking forward to see the connection that can be made between the next year and open air in this context. And ideally how to connect all these two RDA efforts as well. So I think now I should give the floor to Alice, correct? I think it's me first. Oh, I'm sorry, yes. No, no worries. Okay, thank you very much. So I also added in the chat that you can add questions at any time that you want, either in the chat or by using the Q&A function as you see on your screen. And we will be answering that at the end, but let me share my screen and tell you a bit more about what we're doing in open air. Can you see my screen? Can you? Yes, yes, yes. Okay, great, great. Thank you very much, okay. So yes, good morning from me as well. I'm Eliva Podobulu. I work for Athena Research Center here in Greece. And one of the main responsibilities that I have there is I wouldn't be an open air legal entity. And more specifically, I coordinate the activities of the National Open Access Desk and I'll let you know what this means in a minute. So I will just briefly, my presentation will briefly touch upon what is open air and what we're doing in Greece. So let me start. First of all, for those who don't know, open air is the open access infrastructure for research in Europe. It was developed like more than 10 years ago as it was developed as a solution, as an answer to the European Commission's demands for open access. So open air helps all stakeholders to comply with those open access mandates coming from the different framework programs that are released within the years. And now we are in Horizon 2020. So this is our main goal to help researchers and stakeholders comply with those requirements. So open air, in order to do that, has, as you can see here, some functionalities. So apart from being a strong infrastructure, trying to link together all the research outputs that are produced from research that is conducted within the European research area. So apart from that, it has a strong technical support and support to researchers about their research practices. So help them understand what is open science and what are the means that they could use in order to follow best practices, what are those practices, et cetera. So this has been done through the National Open Access Desks. This is the social network of open air, National Open Access Desks. I will let you know what it is and what we're doing in a minute. It also has a repository network that links together all that harvests main literature repositories and data repositories and upcoming, we will also have software repositories in the open air infrastructure. We have dashboards, open air has dashboards for repository managers, funders and research communities. And one of them we will be seeing that today for the LXOGR, for the gateway that was developed in collaboration with LXOGR and the tools that we also try to, in order to help researchers and the providers to comply with open science mandates and practices. We also have tools, develop tools for that. So open air, as you can see, it's about opening the research, sharing and reusing the outcomes. And it also has to do with scholarly communication. So how we communicate all this and how we make sure that all this wealth of information is communicated and is well perceived and received from researchers so they can benefit from that. The EG requirements that currently, as I said, that we support to comply with, and this is the Horizon 2020 paradigm is this. So there's a mandate for those of you that have already an experience in working in European projects. You might be aware of that. There's a mandate for an article 29.2 and 29.3 of the grant agreement to comply to publish your outputs either their publications or data in using open access modes and open access practices, making use of open access and open science practices. And this is the moral. When we say publish in open access, especially for data, it's, we all know, and you know it especially for within the Elixir community that it's not possible to have everything open since there are issues that have to do with privacy, that there are sensitive data in both personal data. So the motto of the European Commission is as open as possible, as close as necessary. And this is what we're also trying to, what we also follow within the Open Air Network. I mentioned that the Open Air is an infrastructure, a strong infrastructure, and this is a picture that this is how you can say that it's a picture that shows these links and these connections of the research outputs that are included in Open Air. So Open Air has a research graph, it's a knowledge graph that it's been developed and enhanced constantly. And then this research graph has to do with, sorry, has to do with getting together all this information about the research project and the research community. So information that has to do with it, not only the outputs, publications, data software that has been used in this project, but also for the funders who funded the organization, what were the organizations involved? So who was coordinating or involved in this project and what are the semantics between them? So all those links that make a more defined and more concrete research entity, if I may say, this is depicted in the Open Air research graph. So really helpful to get the overall, the bigger picture of research, especially in Europe since it is a European, it harvests all repositories mainly from Europe. Of its key services, Open Air has the Explorer, the Open Air Explorer service, where you can find, as you can see, publications, data, other products, software, content providers, you can find there where you want to publish your data and your publications, but you can also link those publications and data to your projects in order to comply with the mandates. Also, Zenoro, I think most of you might know Zenoro, but what you don't know, I don't know, where Zenoro was developed in collaboration with Open Air and CERN. So this is something that, this is another service that is a key service of Open Air that we use, and especially for software, Zenoro is really, apart from publications and data, Zenoro is really useful for giving a snapshot of coding of what you do or the activity that you do in GIC. So worth mentioning that. Quickly, to go through this slide about the nods. So what are nods? We are people, we're some people, located in different countries that are Open Air, that Open Air has the presentations. So currently, Open Air has 34 to 35 members, in different countries, in different regions around Europe. So organizations, there are a few organizations that are responsible for the activities that you see here on the screen about promoting open access and helping with compliance matters. So what we do is we try to organize those kinds of events to spread awareness about what's happening, what are the best practices also, to promote skills and to promote good practices, to contact different stakeholders in order to help align with what's been happening in Europe so that we don't diverge at the national level. And for that, we're doing workshops, face-to-face meetings and we also work in interoperability to give solutions for interoperability in terms of infrastructures that are national infrastructures, that national repositories and services. So very briefly what we do, this is who we are. This is a bit old. So maybe a few people, a few more people are included now within this network. This is who we are, as you can see. And it's moving on to the resources. So what you can find in Open Air, how it can help you. Apart from taking part in those kinds of webinars is to get informed. So you can get informed by browsing the suite of the facts sheets and the suite of supporting material that we produce about the key and vital issues that are open science related, such as those that, how to publish in open access, where to deposit your research data, how to create a data management plan and how to link the research outputs together and how to anonymize things, et cetera. And similarly, you can get informed by following our webinars. And if you don't have time, you can always go back to our page and view them at your own time. And the webinars that we are doing, that we're performing are about legal issues, policy issues. It's about our open science, it's about services, new services, not only openly related, but national services as well, news, whatever comes, whatever is new. And best practices, so yes. And this is, oh yes, okay. So this is a service that helps you comply with the conditions that I mentioned before, the European Mondays, the Open Air Connect. And I won't go through much details because we can have another webinar for that. I wanted to quickly mention two tools that we have developed and that might be, they're relevant to your domain, to the Elixir domain, the life sciences, as you have to deal with personal data and sensitive data. So one of them is Amnesia. It helps you with your data processing activities, so especially for minimization, this is for minimization. And what it does is you can download it locally so you don't have to worry about putting sensitive information on the cloud so you can use it at your own laptop. And by downloaded, you can then add your data sets in there and use the tool to anonymize some of the data sets so you can exclude zip codes, gender information or whatever information can be easy, identifiable for a subject. So it can be easily someone to, if they use it, they can identify the subject easily. So yes, even by combining two different data sets that have been anonymized, you won't be able to identify these identifications and matches, so this is really useful and it's free to use. And then the next one is Argos. Hope I'm not hoping on time. And next is Argos, a tool that has been developed in collaboration with Udat and OpenAir and it's a machine actionable tool. It takes into consideration global standards that are coming from the RISD data alliance and it helps you easily to create your data management plan plus to get a DOI, so publish it and get a DOI so you get credit for that. If it's used somewhere, you can use Argos to practice when writing data management plans if you're new to this area, you can use it to collaborate with other colleagues when writing it. So it supports collaborative writing and I'm happy to let you know more if you're interested to let you know more about this in future webinars or offline, of course. Here is the main page that we have for OpenAir in Greece. OpenAir in Greece is, so I think the research center is the main, the NOAA, the National Open Access Desk, but we also collaborate with the Hellenic Academic Libraries link and through this collaboration, we try to get a better understanding of what's happening within the national context in terms of research and the needs that both the academic community and the risk community have, so better respond to the needs that they have. So you can have a look, you can browse this OpenAir increase website whenever you want and see how open science is reflected in Greece. Some useful links here about us, where you can find information and we'll also share them with you later. You can subscribe to our newsletter if you want as well. Questions at the end, I think after a less presentation, I would prefer it that way. And thank you very much, again, thank you very much. And I'm also very happy since I'm collaborating with, let me answer it once again, since I'm collaborating with Foris and Fanasis and other colleagues in Elkjerum. I'm really happy about this webinar and hope that we continue our collaboration and we better, you know, we enhance all the practices that are currently being done at the national level. Thank you very much. Thank you, Elie. I think there is a hand, so it might be worth having a couple of minutes if there is a pressing question to address. Okay, yes, yes, I see the hands. So I know, hello, can you speak? I think you can speak now if you are mute. Hello, I've given you permission. I think if you are mute, if you click the button, you can speak. It may also have been by accident. Okay, okay. So we can proceed. And if there's a question, we can have it on the chat so we don't lose too much time here. So, Alessia. Yes, thank you. Okay, so let me share my screen. Okay, so thank you very much, Elie, for your presentation because you said a lot of important things about open air. So the beginning of my presentation will be a bit shorter. So we can go more or less trade on to the open research gateway for the Elixir Greek infrastructure. So as you are all working in your domain, you know very well which are the benefits of open science and open research. So the important things to say is that we want to make everything that is related to the research process available to be reused, reproduced, redistributed. So not only the publications but also the data sets, the software, the protocols or the processes that enable research. So we can see open science as an umbrella term that covers a lot of things as you can see here. And as open air, we are working to support the transition of the scholarly communication infrastructure to open science because there are barriers to be addressed. Some are cultural, some are technical and we are trying to address both with our social infrastructure and technical infrastructure that Elie presented before. And one of our goal is to bridge the place where the research is performed which is the research infrastructure like Elixir PR and the place where the research is published which is the scholarly communication infrastructure. And we do these with several services for different stakeholders of the scholarly communication infrastructure ranging from researchers to funders, content providers, research communities and initiatives, but also small and medium enterprises. So we have a set of services and most of them are powered by the open air research graph which is an open metadata graph where we keep descriptions of scientific products, publication, research data, software and other types of research products. And those bear information about their access rights, information about their fundings and about the research communities and infrastructure they are relevant for. And here on the right of this slide you can see the main feature of this graph. So it's available as a CC buy with a CC buy license and it's open access, of course. And the information that it contains it is obtained by aggregating metadata records from a network of repositories that are collaborating with open air. And this network is open and participatory so everyone can join the network and provide content to this graph. And this is the reason why we need to deduplicate the information in the graph because we can collect different metadata records about the same objects from different sources. So we understand that these metadata records are about the same objects and we merge them together. And we keep information about the provenance of every piece of information. So we are transparent and we tell which is the source that provided which information in the graph. We apply mining algorithm in order to enrich the graph. So for example, we also collect full text of open access publications and we find, we identify links to projects and many other things. And this information is give back to the repository so that they can reach their records on their side. To give you an idea about the network that we are managing. Okay, I went too fast but this gives you the idea. So we collect metadata from data repositories that are registered in Retreat Data, open access repositories that are in OpenDoor, project information from Cordis so the European Commission but also many, many other funders, also national funders and we have a collaboration also with a Greek founder. We have software from Software Heritage which is very important for the persistent of software. We have of course the main, let's see repositories for the publication. So PubMed, Archive, Repack, Crossref, all the journals that are in the directory of open access journals. The most important for this webinar are the connections that we have with research infrastructure. So what we are offering to, what we are doing with LXRGR, we are doing also with others. So we are doing for example with Daria which is infrastructure in the digital humanities. We are doing this with Epos which is the European Plate Observing System. We are collaborating also with EGI. And as a result of this aggregation, these are our numbers that you can see on beta.explore.opener.eu So big numbers and these, of course, provide a lot of content for the services that are built on top of the graph. And one of the service is the Open Air Research Community Dashboard which is a service to deploy gateways for research communities, initiatives and infrastructures. So what are the motivations behind the realization of a gateway for research communities or research infrastructures? First of all, we are living together with a literature and data deluge. So it's difficult to find the research results that are really relevant for a researcher because it's difficult to find them. And it's also difficult to find a way where I can say that my research has been done thanks to the services of this research infrastructure. And this is very important for you as a researcher because it tells your peers that you're using services that are at the state of the art or well ahead of the state of the art. But it also tells the research infrastructure that its services are useful for the research community it serves. So the other reason is that we talk about open science but often researchers do not know where to find guidelines and tools to implement the open science paradigm. And finally, the research impact. So as we said before, it's important to know if my services are used among the users of the infrastructure. So with a gateway, we can give an idea of the impact of the research infrastructure and we can support reporting to the founders so that we ensure and we support the sustainability of the infrastructure itself. So the open research gateway, it's a virtual research environment in the sense that it's a platform where you can find the parts of the open air research graph that is relevant for the infrastructure and you have tools for implementing the open science principles. Range starting from the search functionality to the publishing functionality and we will see everything in more details later on. Okay, so these are some of the other research infrastructure that we serve but we can go on the details of the open research gateway for LXRGR which is currently in a beta stage. So this is why we believe it is very important to talk with you now before we release the production of this gateway because we would like your feedback and suggestions on what we have and suggestions for the future. So the idea as also Tanasi said at the beginning of this webinar is to have a single entry point to research products of LXRGRS and okay, sorry. And the single entry, so the most important phase for the creation, for the realization of the gateway is to identify the subset of products among those that are available in the open air research graph which as you see before there are more than 100 millions publications. So here is where the role of gateway curators help us. So the gateway curators are the person who are expert in the domain. They are managers of the research infrastructures and can inform the open air algorithm on how we can find the research products that are relevant for the infrastructure. So for example, they provide a list of projects that funds LXRGRS. They provided the data sources that contain research products of the research infrastructure and in this case for LXRGRS bio tools was identified as main sources of research products for the LXRGR infrastructure. And in order to identify in bio tools, the software that are for LXRGRS are made by LXRGRS, we applied some criteria on the authors of the software and on other metadata fields that are available in bio tools. We also have the options to include products that have been deposited in some other communities and we can identify the publications based on criteria to apply to their full text. In particular, the full text of open access publications are analyzed to find basically citations to LXRGRS services and software. So the specific URLs of the services and the GitHub links of the software that we know that are made by LXRGRS members. So we look for that URLs in the full text, both in the references sections but also in the footnote and in the various section of the article. Of course, this may not cover everything. So we have a specific functionality that allows any user, any authorized, authenticated user on the gateway to add missing research products. And you can do this by searching on data site, crossref or open air itself. You can use also an arcade ID so you can search for a person, a researcher or you can provide a list of DOIs and what we call a bulk linking. In order to improve the coverage, we also apply a propagation criteria. What it means, means that if for example, an LXR publication is supplemented by a data set, then also the data set is included in the gateway even if we couldn't identify it as relevant for LXR based on the previous criteria. But what you can do with the LXR gateway? You can monitor, you can deposit, you can explore, you can connect and you can develop. So you can monitor the uptake of open science publishing principles. You can monitor the research impact of the research infrastructure. You can have reports for funders and for the projects and you can also monitor the impact of publications. You will find in the gateway, I direct link tools and other so that you can use it to deposit any type of research products that you have. So going well beyond the article and the publication. We have an advanced graphical user interface for searching that I will show you after. You can of course connect research products to the research infrastructure but also between them. So you can create a complete record of research by linking things together. So for example, you can say that this publication is supplemented by the data sets and the data set was produced with this software. So that people, other researchers can come and see how things are related to each other. And finally, you can develop. So for the developers of the research infrastructure, this means that they can basically connect the research infrastructure services to Zenodo and the OpenR gateway. But also you will find APIs that will enable you to access the OpenR research graph as a whole, but also the part of the OpenR research graph that is relevant for your infrastructure so that you can build additional services on top of it. So after you will be able to access the OpenR access the gateway and see everything with your own eyes and your own mouse and screen. So this is just to give you a flavor of what we have. So for the monitoring part, we have several statistics that we can offer and these have been selected by the gateway creators. So we have mostly TANASIS. And as you can see, there are several statistics and you can also have the possibility to download CSV of the results based on the search that you have performed so that you can have something that you can easily include, for example, in a report. And this can be done based on the search you have performed but also you can do it by project. So for example, you can select a project that is relevant and you can download the report. So all research outcomes or only publications, only research data and so on. For the deposition, you will find the directly into as another community for your research infrastructure. You can, if you don't know what as another community is you can think about it as a container for all the research outputs of a group of researchers. And there you can deposit everything. So publication, poster, presentation, dataset, image, video and audio software lesson. And if your type still does not fit, you have the other option. And when you deposit on Zenodo, you can link the product to its funding information and you make it citable and you get a UI. But if you already have a UI, you can also tell Zenodo to not generate a new one and reuse the one you already have. And in the deposit functionality of the gateway, so you have this directly into Zenodo and you also have the possibility to look for relevant journals and repositories that joined the OpenAir network. Okay, so the search functionality. So if you are familiar with the OpenAir portal, you will see a difference here because this is the new graphical user interface for searching. So we welcome your comments on this. So you will see that you have an advanced search functionality. You have several faceted search on the left that can help you fine tune your research. And if you're going in the advanced search, you will be able to filter by different fields, also by arcade. And in fact, the integration with arcade is something that I would like to highlight. So every time that we are able to assign an arcade ID to an author of a paper or a data set, we link to arcade so that you can actually click here on visit and you will be redirected to the arcade page for Giorgos of Lopubulus. And the integration with arcade in the future will become even more than this because an OpenAir is an arcade memory. So now we have a set of options that we can exploit to strengthen the connection between OpenAir and the arcade. So the connect functionality. So the possibility of linking results between each other. So if you see the landing page of application, for example, you will see this button. And by clicking on it, you will have the possibility to link it to projects, to other research results and to communities. And this includes infrastructures like Elixir GR. Another option to use the link functionality is to use the dedicated menu on the top of the page. And there you can perform searches on OpenAir crossref data set and arcade. And then with the plus, you will add the results to a list. And then you can proceed with the linking to other entities like projects, other research results or communities. If you go for the arcade option, then this is what you will see. So for example, here I searched for my name. So the search on arcade resulted in 12 results. The first is myself. But it also suggests me other people with my surname in case my search was not very specific. And on the bottom, you will see the list of publications coming from arcade. And finally, but very important is that if you have already a list of the OIs, you can upload them as a CSV file so that you can perform the linking for all these OIs in just a couple of clicks. The data part. So as I mentioned before, we have APIs that you can use to build on top of the research graph. So we offered the graph as data dumps that you can find on Zenodo. We have OEI, PNH. We have bulk-accessed projects which basically are APIs that can be used by this space and between its repositories. We have search HTTP APIs and link it open data. And we have a sparkling point, but also an RDF dump that is published on Zenodo. And Zenodo itself offers API that can be used to enhance services of research infrastructure so that they can implement the automatic deposition of research results. Research results produced by the services into Zenodo and therefore automatically also have them in the gateway for the research infrastructure. And finally, the provide service. So data sources that are managed by the research infrastructure can contribute to the open air research graph. So they can join the network of repositories by adopting the interoperability guidelines and using the provide service that we have. Okay, there are several features instead that we are working on and we will deploy as soon as possible, I mean that some are more or less ready to be made available, others need some more work. So the first one, which is basically ready, we just need to wait a little bit for the deployment on the gateway is the possibility of seeing the impact of each publication. So for this, we have a collaboration with Bitfinder, which is a tool that Tanassis is working on which basically tells which is the popularity and influence of a paper. So then for the days, I think Tanassis can explain if you have a question. For the develop, we plan to implement the connection between the EGCI cloud infrastructure, which is currently on beta. So connect the EGCI infrastructure with Zenodo. So that whenever you use the services of this infrastructure, your results can be automatically published on Zenodo. They will get a DOI and the metadata and the provenance information about your results will be automatically generated by the infrastructure itself so that you don't have to type in every single detail about your results because the infrastructure already knows it. And the last future features of the gateway will be the possibility to customize the layout and the colors. We are currently redesigning the position page because we want to enable creators like Tanassis to, let's say, give you more customized features. So we want to add more customized hints on which are the proper repositories to pick for members of a research infrastructure. And we would like to add more pages where the gateway creators can really inform researchers about open science best practices that are peculiar to the research infrastructure. The main people behind the Elixir GR gateway, so Tanassis and Seraphame, Escurator, Argyro, Koko Jannaki, who is the main developer for the Graphical User Interface. So we have Miriam for the backend, Pedro Príncipe and Andre Vieira who support for the support and training and Harry Dimitropoulos who is the team leader for the full-text mining. So I think we have some questions in the chat. Where is it? I'm sorry, I lost... Yes, hi, Alice. So there's a question about the size limits to upload data set to Zenoro. They say that their trajectories are for terabytes. Yes, that's the first question. Oh, okay. So no, I know that if you don't make special arrangement with Zenoro, there is a limit, which is quite high. But I don't remember exactly which is if... The limit, if I may, so it's Pedro Príncipe, the limit per data set is 50 gigabytes. But it's for per record. So it's not... So you can create a collection, for example, you can put several records there, but the limit per record, per one data set is 50 gigabytes. And you can arrange more, but it's not for free. You need to negotiate with CERN that is managing Zenoro. Okay, so another question is will the slides be uploaded? Yes, they will be uploaded and we will share all the supporting material with the follow-up email as we do. And they will also be available at the webinar section on the Opener website. Okay, so if there are no other questions, then for Nasi and Fotis, I think we are going to the breakout sessions due to the breakout sessions and we're using a different platform for this. So we have to move to a different platform that supports this. I can paste a link on the top window, so people can... All right, so there's still a question before we move forwards. Yes. From Ze Kurnia, how do you plan to address open data over 50 gigabytes? And the follow-up question, who will sponsor datasets over 50 gigabytes in the context of open science? Hello there. I'm not sure if any of the developers and the managers of Zenodo are here. Pedro knows some details, but I'm not sure if he's a manager of Zenodo. But also Zenodo, in my understanding, and I'm not sure that this is correct, but Pedro, please correct me if I'm wrong. You can deposit a dataset that is larger than 50 gigabytes. If you manage to keep the records below 50 gigabytes, is that right, Pedro? Can you explain that a little bit more? Because I think it's not very clear what you mean by 50 gigabytes per dataset per record. What is the record? Yeah, yes, I can explain, but yes, there is a limit and the questions make sense. Maybe we should include other kind of information here, but I can help. So in Zenodo, so Zenodo it's a repository where you create records where you put files. You can deposit, upload publications, presentations, and datasets also. So the limit is directly linked to the record. So you create a record where you are going to put files and the total amount of those files that you are putting in one record, the limit is 50 gigabytes. So this is the limit that is attached to a specific record where you are going to put different files. Then you can create, for example, a collection for a project and you don't have a limit for the collection. But of course, the limit is that you need to create records with files inside that collection, that the limit per record is 50 gigabytes. Of course, if you, the total amount of different records that you create is much more than 50 gigabytes in that specific collection. If it's, for example, a collection for a project, but you have a limit for this specific record that represents different files or just one file. So just to put it clear because the Zenodo is a kind of catch-all repository at the end of a process. So, okay, this is the answer for Zenodo. Of course, we need to proper reply to this question about will sponsor datasets in the contents of Open Science. Of course, this is a joint effort. Zenodo is a tool supported by Open Air and the European Commission to help on this Open Science ecosystem. But of course, different institutions, different research infrastructures need to help on this. And at the national level or at the institutional level, there are also efforts that are being made in order to offer tools, data archives, repositories, data repositories to help researchers to have places to proper store or provide access to their research outputs. So I know that also in Greece, there are also tools to provide storage for data. And then of course, there are also other thematic repositories where you can also benefit from some free services or you can also benefit from some services that you need to pay in order to deposit data. But this is, Zenodo is just a piece of the puzzle of this ecosystem environment at the national level or at the research community-specific level. There are also some other tools that researchers can benefit. I hope that they can have answered the question and we can, maybe if you want to add something. I really liked your answer, Pedro. And yes, let me say that as we are contacting in Greece as well, we're contacting different repository managers and different service providers more of those services. Like for example, we are in contact with Hellenic Data Service which provides tools to analyze your data. Sorry. Plus, they have a national data repository which can be used. And so as we progressively integrate with those services to open there, this will be available for use under the research community dashboards as well. Okay, so if there's no other question, Tanasi, what did you want to move to the other one? Should I paste the link or should some paste the link here? Yeah, I've just pasted the link. We will move to different Zoom session for this. And we're going to be splitting everyone across different subgroups so that everyone will be able to test out the research dashboard. So thank you for the time being and I'll see you in the other session in a second. Great, I'll leave this session open for a while until we're all heading to the second one.