 So, hi all and welcome to this webinar on the OpenAir Research Community Dashboard. So I would like to start with a brief presentation on the motivations behind the realization of the dashboard and then I'll proceed with a live demo. We'll have time for questions at the end of the demo, but if you want you can write your own questions in the chat, in the GoToMeeting chat if you want. Okay, so let me share the screen. Okay, so why have we decided to realize this service? Because we wanted to provide our support, the OpenAir support, to three common problems. The first problem is the so-called literature and data deluge. So there are so many research products out there distributed in a variety of sources that is hard for researchers to find research objects of their discipline in a context that facilitates their interpretability and their reuse. So OpenAir via the dashboard offers the part of the scholarly communication graph that OpenAir grows, the part that is relevant for a given research community. And this graph is participatory so researchers can help actively to grow it and make it better and more complete. The second problem we are addressing is the lack of tools for open science publishing. So we are currently running three pilots with three research infrastructures for the implementation of open science publishing tools. And thanks to them research results can be published by the research infrastructure itself on the alphabet users. So the researchers will use the tools of the research infrastructure to perform their research and the research infrastructure will automatically publish their results. And in this case the target is not the researcher, the target of the dashboard is not the researcher but the manager of a research infrastructure or a research initiative. And the same is for the third problem which is the research impact. So managers of a research initiative and infrastructure would like to monitor the impact of the infrastructure itself and to provide numbers and proofs of how the infrastructure is useful to the funders, to the current funders and to the future funders. So you can see that we have mainly two target audience for the research community dashboard, the research communities which are intended as a group of researchers with common interest and research intent to be published. They will be shared, they want to discover research products. And then we have long term funded initiatives which get funding via different projects over the years like EGI, RDA for example, or domain specific research infrastructures like Exir, Apple or Claring. So even if the dashboard is in the beta stage we have examples for both categories. So we have six research communities of different disciplines including economics, agriculture, fisheries, and neuroinformatics, digital humanities. And we also have six research initiatives for infrastructure. So Instruct, Eric, EGI, Daria, RDA, Claring and Elixir, please. So we can now proceed with the live demo unless you have any questions at this point. Okay, I can see the chat does not have any questions. So not for now. No, I will proceed with demo. So this is the address for the research community dashboard. So beta.connect.openair.eu. And as you can see I'm already logged in and I am a user with super power. So in my screen you may see communities and functionalities that you as simple users cannot see on your browser. So for here you can see the list of all communities and infrastructures that are already with us. And for this demo I'm going to use neuroinformatics. So this is the main page. You can see the neuroinformatics dashboard. You have a logo, you have the name, of course, of the community and a list of keywords, of subjects that are relevant for this community. You have information about who is the curator, who are the manager of the communities and the number of members. In this section instead you can see the number of products that are currently associated to the community. So the number of publications intended as scientific literature products, research data, research software and other types of research products, the number of projects and content providers. And here you can also see a preview of the different kind of results that are related to the community. So how do research products end up here in the dashboard? They appear here based on the configuration provided by the community manager. So the manager can see this manage button and if we click it we go into the administration page of the dashboard. So for the selection of the content that is available by the dashboard this section is the most important. So we can see that we can select the relevant projects, content providers and subjects. So if you go on projects we can see the list of projects that the administrator of this dashboard already selected and we can add new ones by clicking on the plus button. So now we can select the funder among those that are available in open air. So not only the European Commission as you can see but also NIH, NSF, we have Science Foundation Ireland, Creation Science Foundation, different ministries and governments of European countries and this list is not fixed because open air is continuously taking information about projects from different funders all over Europe and beyond. So let's select for now the European Commission and let's search for a project. We are in neuroinformatics so I will search for rain and here we can see the projects that match our search and for example I think that this project can be relevant for this community so I can add it. So what happens now? Next time that open air will update this scholarly graph, the content, all the products that are related to this project will also be added to the dashboard. Okay then the second way to add content to the community is based on the content providers. So here you can see the content providers. So the data sources which provide content which is relevant for the community. These have already been selected by the community manager and we can add new one by clicking on the plus button. So again we can make the very same search. So for example we get this journal called Rain Sciences which is relevant for the community and we can add it via the plus button. And again next time open air will update the graph everything that is collected from this provider will be associated to the community. Then finally the subjects. So here you can list all relevant subjects and keywords. Open air will look at the keywords in the metadata and article full text and will add the object to the dashboard if any of the term of this list is matched. So as you can see we have a lot of terms here defined which are the very same terms that you can see in the main page of the dashboard here. So the community manager can also do much more. He can actually decide what is visible and not visible in dashboard for all the other normal users let's say. And this can be done in the section of the menu. So if you go to in sorry if you go in activate entities you can decide which entity types of the graph should be visible. For example let's suppose I want to hide data sets research data because as a manager I know that I still need to add data repositories to the content provider list for example. So I can simply click on the green button here to disable and everything related to data will be not visible anymore. So if we go back to the normal view and we of course refresh. Now you can see that there are no no data anymore here in this boxy among these boxes and we cannot see research data in this course as a manager I can change my mind and I can reactivate the entity so that users of the dashboard will see again research data. Okay this activation can be also performed at more fine-grained level using the other section of this menu so to enable disabled specific pages of the dashboard. So to answer one of the questions made by Tatranca in the chat only managers can see the administration part of the dashboard so you cannot access the administration dashboard now because you are not a manager of any community. So the next step is the customization of help text that can be placed in different pages of the dashboard. So for example I can add a new help text let's see okay I would like to create for example in search publications at the top I want it before the content and save. So now if we go in this page which is the one where you can visualize the publications you can see the help text here and of course again this can be removed and the help text should disappear. Did I delete it? Yes there we go okay and now the help text does not appear anymore. So let's go back here so the next menu is manage statistics and charts so what do we mean by statistics and charts if you go back to the normal view you can see here the top monitor link if you click on monitor you can see statistics and charts for the different entities publications research data and software. So we have for example the numbers of publications through the years by access modes publications for projects and similar statistics are also available for the other types of entities. So what you can see here the statistics that you can see depends on what the manager wants to show and he can disable or enable the statistics via the administration section of the dashboard. So for example I can decide to hide the first graph publications to the years so I just click on the green button and if I go back to the monitor page the first graph disappeared from the statistics page of course I can change my mind and I decide that I want to show this graph in the monitor section but also in the main dashboard page and in this cases when both of them are selected we can see that the chart is back here but we can also find it in the main page here. Let's remove it from the dashboard and the chart does not appear anymore so this is a very simple but powerful way to let the manager decide what the users of the community can see. The last menu item is for the management of claims. So what are claims? Claims are assertions that users that are subscribed to the community can make to the link functionality. So let's see how. So I am a user and I am subscribed to the Neuroinformatics dashboard so I can go here, link and I can add new products to my dashboard, to the dashboard. So I select communities so you can see that Neuroinformatics is already selected because this is the community where I am now so I click on next and here I have two options. I can search for results in OpenAir, Crossref, Datasite, ArcIt or all of them together or I can do what we call a bulk claiming. So I can upload a CSV in a specific format which is described here in the information button where basically you have to add the DOI, access mode and other information. So when you upload such a CSV, the system will automatically assign those publications, those datasets or software depending on what they are, assigning all those products to the communities. But as I said before, we can also search for products in these data sources. So if I search for brain, we can see that we have several results in the different sources we have. So this is publications, research data and software, other research products are products already in OpenAir. And in addition we found five matching products in Crossref, 25 in Datasite and nine in ArcIt. So for example, I can decide to add one dataset to this dashboard so I have to click on the plus. So this means that now this product is available from this dashboard. So what happened now to the manager because the manager has this page where you can manage claims and the manager here sees the list of claims and can decide to delete them if they are wrong. There is one last functionality that I would like to show you but I have to select a research infrastructure for this case. So let's go for Flavin. In fact, one of the main difference from the functionality point of view among research communities and research initiatives is that products for research initiatives are also picked automatically by the OpenAir mining algorithms. So managers of research infrastructures and initiatives can help the OpenAir mining team in setting up the algorithm. So let's go to the management side for Flavin. And as you can see now, we also have the menu item and the section for text mining rules. And this interface allows you to create a mining profile that can be used for testing. So Clarin has already its own sample profile where positive keywords are listed together with optional context which is used by the algorithm to fine-tune itself. So let's click on continue. So in this phase, you can configure the algorithm in terms of recall and precision. High recall means that the algorithm will try to match as much as it can with the possibility of having lots of false positives. And on the other side, we have high precision. In this case, the algorithm will be more strict and it is possible that many positives will not be identified. So the manager can test the configuration on a limited set of text and play with different strategies to find the best compromise. And you can also configure other custom rules and configuration options. So these are, for example, the options for the text preprocessing where you can also find additional information where needed. We can try to run it as it is on nine documents that are already available for testing. So it needs some second to run because nine documents is not a lot. So the algorithm runs pretty fast. And here we go with the results. So eight over nine documents were found related to Clarin. And as you can see, you have the ID, in this case, it's an archive ID of the document. And the reason why it matches, in this case, it's Claria. And you see also the context where this keyword was found, so that you can double check that the reference is correct, has been correctly matched. So at this point, the profile can be saved. You can assign a new name also, but once it is saved, the mining team can be informed so that the actual integration in Open Editor can start. And the algorithm will be run on all full text that are collected from Open Editor. OK, so I think the demo is complete. So I open the floor to your questions, to your comments, to any feedback you would like to share with us. Because as I said, the service is still on beta. So we have a lot of time for improvements. And we really would like this service to be useful to communities. Therefore, the feedback from researchers and research managers is fundamental. Thank you. Thanks, Alessia. For the participants, I would like to stress the fact that... OK, so we have a question from Dianca. Thanks, Dianca. Well, it's more a statement than a question. So it will be very useful to establish a research community at the national level. And this is something no one can disagree with, I think. But I have a question on the question then. So these communities that are in the research community dashboard are research communities. So they are thematic. How difficult would it be to create a national community? Well, I'm not sure if my question is clear. I mean, these research communities are kind of a transversal communities among, well, different organizations and possibly also different countries. Yes, yes. And that's the kind of communities that we would like to serve. So, as I said, we have two main categories. So the research, the pure, let's say, research communities, which are groups of researchers who are working on the same topic, so the same discipline or the same research topic. And on the other hand, we have these research initiatives like Clarine, for example, which groups, researchers of more or less the same discipline because it's linguistic studies. But in fact, Clarine is much more. So I think that the idea of having national communities is a different way to see it because in this case, the discipline will not be the main commonality between researchers, but the nationality will be the country where they work from them, basically. And this is something that we know it is very important. And in fact, we are planning to offer a similar service at the national level. The idea is not to call it research community dashboard, but we will have something similar that let's say, go beyond the idea of national aggregators. OK, thanks for your answer, Alessia. And Yadran, there is another question about how communities are built. Oh, how communities are built? Yeah, OK, we are not aiming at building communities. So we are aiming at serving existing communities. And in fact, when we decide to accept a community for our pilot phase, we ask the person, the representative person, let's say, to explain us how the community is structured. So if there is a management behind it, or if it's just a group of person working together with no policies, for example. So communities are built in many different ways. We've been working with communities where there are no policies, no best practices, nothing. They were just a group of researchers working together. And together with them, there are other communities which are well-structured and that are more advanced in terms also of open science publishing, for example. I hope this would like to Yadran's questions. I hope so. In case not, Yadran, please keep on writing in the chat. We have a new question by Gareth. Are there any criteria that managers need to follow when adding data to the community? Attributes like, for example, what constitutes a content provider? Yes, okay. Probably I forgot to explain this during the demo. So content providers, the content providers that you can see in the list that you can choose from are the content providers that are aggregated already, aggregated by OpenAir. So you will find there only the content providers that OpenAir already have. Of course, there could be cases where an important content provider for a community is not yet in OpenAir. And in this case, we invite community manager to let us know because it would be very important to establish a connection between this provider and our aggregation team in OpenAir so that we can help the provider to become OpenAir compliant because there are some guidelines that need to be followed in order to be collected by OpenAir and enter into this network, international network of repositories. So we are happy to provide support to new repository managers to do that. Okay, thanks, Alessia, for replying also to this question. If there is no other questions, I would like to remind you that the webinars are ongoing until Friday and that tomorrow in the afternoon, we will have a session about OpenAir, a question and answer session about OpenAir. So in case you forgot to ask anything about the research community dashboard, you will also have the chance to do this tomorrow. Okay, if there's no other. Is there anything coming up from the participants? I would like to thank you all, especially Alessia, for being here today and providing this nice demo of the research community dashboard. And well, I can leave you go to, well, our next webinar in 20 minutes. Thank you, Alessia, thank you all. And if you feel you are a member of our community or a representative for a community that would like to try the dashboard and so please contact OpenAir via the OpenAir helpdesk and we can see if we can set up a dashboard for you. Yeah, I think it's very important that communities really test the community dashboard to exploit all the potential services. OK, thanks all. Thank you very much. You will find the recordings on the OpenAir website, let's say next week. Bye. Thank you very much. Bye.