 Yeah, and yeah. Hi everyone. I hope you're all well and this is the last community call of the year. Usually in this community call, you know, we have some quizzes, we try to celebrate what we have done in the past year, you know, see, you know, what we need to work on, what are the areas that we need to work on. But this is, well, I mean, and not the time to do that now, because we, our community has lost a person that was very active in RDM, a professional that is like, we was an amazing person. And I don't feel like celebrating today's apologies for, you know, moving away from this tradition. And I would like to actually dedicate this community call to Sarah Jones, who was an amazing person, contributed so much to the research data management community and to DMPs in particular. Yeah, it's inspiring what she has done. And I'm sure that many people who knew her look up to her still today. But today, I would like to concentrate on the things that we are working on, which are things that you will be expecting next year. And maybe let's share my screen. Probably you don't know we are, Argos is involved in some in a project in tier two project tier two is a project that focuses on reproducibility. Hope you can see my slides, right? Do you see my slides? Yes. Okay, good. Thank you. So tier two is a project, again, focused on reproducibility. So it focuses on understanding the different areas and domains and how reproducibility is applied, you know, in them. So it has a theoretical, let's say, approach to understanding that reproducibility. And also, it focuses on building the tools or adapting workflows and tools and creating guidance that supports the increase of reproducibility in our practices and focuses on different has different target groups like publishers, researchers, domain specific experts and so on. Opener and Argos in particular, is has a pilot inside the context of this project. And the pilot is about creating reproducibility management plans. And this is part of our work there. And we follow, as you can see here, a theoretical approach where we are we take the DMPs concept, the data management plans concept, as our basis to extend it, first to highlight the reproducibility questions that we or content that we can find in DMPs, and then extend it. But also at the same time, we are infusing like this, this work with feedback from experts. And if you would like to contribute to this feedback, please let us know it would be, I mean, we would like to, to have maybe with Stefan, with Stefania, who is on this call today, we would like to have a workshop. And if you would like to get involved, please let us know. We are going to more, you know, to to focus more on finding the questions, the appropriate questions, and the sections that this reproducibility management plan has. And then we are going to adapt this to a template. So we're going to create a template that will be about reproducibility with tailored questions and guidance. And also where we can have this reproducibility management plan tailored to the specific domain needs. And then there's a technical approach where we're going to onboard this template and this guidance that we have onto our course that we're going to do. That means that we're going to configure some APIs, and we're going to create some links with other outputs and activities inside the template. And we are going to work with the RDA, within the RDA, to suggest, there is a data line, so I'm going to say RDA, to suggest how the metadata and how the DMP common standard can be extended to support some of the reproducibility elements that we have identified so that these plants at the end are interoperable with each other and with different services. But first, we are tackling this issue. This is a timeline, this is something I just wanted, I just kept it, because I wanted to show that we had already a first workshop during the Open Science Summit in Geneva this July, where we got a first set of feedback from the community, from the international community. And what we have already from this work is the configuration of a new API in Argos, the first sharing API. So the first sharing is a registry of databases, standards and policies for fair data. So we have extended our mechanism, the mechanism, the mechanism, the API mechanism that we used until recently to be able to support different protocols and different providers, let's say, one of them being the first sharing, so that you can use it in the templates of Argos, and if you want, and have this create a reference to the specific policy that you're referring to when you describe your data in the DMP, or to the standards that you want to include when you are detailing, you know, data management activities in the DMP and so on. And there is already an article about that. Maybe Stefania wants to share it as I'm going through the presentation. I don't know, these are the next steps, but I don't want to continue with the next steps. I think that's what's coming. And we would like to know your, we would like to get your feedback as well. If you are interested in reproducibility as we are, because we're involved in this pilot, please let us know to include you in this, in the workshops that are coming next year. And of course, you understand that we will have more things to share with you regarding this new concept of it, with this building management plan next year again. Another thing, well, maybe first, let's maybe open it up to discussion. How do you feel that, have you considered this concept before, for example, like having a plan for your reproducibility practices? Do you think this is something useful? We're going to do it anyway, but it's good to also have your thoughts on that. This will at least drive other things of our work. Okay, then the next thing that I wanted to say is that we had, two weeks ago, if I remember correctly, there was the opener bootcamp where Argos had a workshop, a training workshop. And maybe since Jonathan is here, they could say a few things of how they found this training to be, because we had a nice hands-on experience of getting a project and then trying to navigate around the different objectives of the project, the different deliveries of the project, to understand which ones are fit to our data management planning needs, then who we need to contact in order to sufficiently create the DMP and so on. Yes, so basically there were two types of people, people that already were doing DMPs, that found it really useful, and then people that for them, DMPs was more abstract, they had never done it, or they were just, so we had a session about RDM and DMPs on Wednesday and the Argos session was on the Thursday, so some of them had just discovered and so it was quite difficult, they said it was quite a difficult training, which makes sense, if they've never done a DMP, it makes sense, but those that had done or are familiar with DMPs found it's quite useful to have a more hands-on approach, rather than just learning about it theoretically, but trying it with a case study basically. Thank you, thank you Jonathan. Yes, so during the bootcamp we focused, you know, we tried to focus both at the practical, practicalities of how you organize yourselves in that DMP process and then how you use Argos, so Argos had a less, let's say, prominent role, because this is just a tool to use, right, but the focus was more on how, I mean, I have this project, they tell me to create my DMP, what do I do, besides panicking if it's your first time. Thank you, Stefania, for sharing the news item in the chat for everyone who would like to see and learn a few things. Maybe you want to say a few things about that? Oh, yes, no, I mean, you presented this aspect of the fair sharing in the last community call, so I don't know, if someone missed it, I think it was a great presentation, so I invite you to go back and check. And then yes, for the tier two, I'll just invite again our community here to have a look and to share your ideas and your experience about how do you evaluate reproducibility in your field and what does reproducibility mean for you, so what would make it possible to reproduce if it's either, oh, thank you, yes, for the name to the website, to reproduce your work, what would make your work more transparent. Yes, tier two will, so the outputs will be built on the community, so we need input from the community. Yes, please, Dereca, hi. Thank you. Thank you so much. Please like to ask, I'm not so familiar with the discussion about reproducibility, but we learned from talking to researchers at our university that we have fields where reproducibility is not included in the design of research in humanities, they have this field of qualitative research. Have you discussed this topic, or did you focus on fields where reproducibility is obvious, such as life science, natural science, techniques, and those sorts of topics? Thank you. Thank you Dereca, this is actually a very good point, and our experts working in this field, they make sure to remind us all the time that it's not only computational reproducibility, it's also qualitative reproducibility as well, and we are going to have at the end of this month, I think it's a deliverable, so look out for this deliverable because it's going to be a huge landscape of reproducibility in different domains, including what you just mentioned, so I think you will find it useful. I'm not involved in this study in particular, but I know that I'm waiting for it because I want to use it as an input for this template that we are going to have. Thank you so much. Thank you. Joakim, hi, nice to see you. Sorry, I was muted. Good to see you again. Maybe I misunderstood something, but are these reproducibility management plans kind of separate documents from the DMPs? Because I find it already hard to get researchers fill out a DMP, and if they, this will simply mean they will have yet another web form or something to fill out. I'm not sure that will be an easy task to get them there, and I remember now that I was participating in a discussion some years ago, I think it was at the TU Delft about having software management plans separate too, and the same objection came up there. I think it's good to handle reproducibility already from the start, but if possible, but it should then be part of a regular DMP and not something that you do separately. So you could ask for what reproducibility measures and then propose some possible, like pre-registered, pre-registration, and things like that, that we know can enhance reproducibility. I think there was a recent study by Brian Nosek and others at COS or OSF that showed they made an experiment with four different universities participating, and they managed to raise the level of reproducibility considerably within psychology, which is a known field which had had large problems with reproducibility. So I think definitely things can be done, maybe not as easily within the humanities as Teresa indicated, but there are things to be done, but they should be part of the normal data management plan process, I think. Thank you. Thank you, Joachim. I like your, yes, I like your points. For us to bring it to the project, we are going to create this reproducibility management plan as an independent, let's say, entity which, of course, you were present in the last community call, you saw that you can embed in the broader DMP, so we call it blueprint, so you can have in your blueprint data management sections, software management sections, and reproducibility management questions, and I mean something if you want to relate to ethics, if you want to, you know, your attention to be more on ethics, you can have all these things, but as you can see, there are dependencies with all these different topics, all these different thematic areas, for example, when we're talking about data management plan, software is considered as well for the links that the data had to have to the software, not how the software was, you know, created and so on, but just to provide a qualified reference, for example, to the software and so on, but this is the minimum thing that is required in the context of a DMP. Then we go to the software management, so-called software management plans, where we want to know more about the actual management of the software, where more questions irrelevant to a DMP are included there, and this is our approach also for the reproducibility management plans, of course, we see that the DMP already has some reproducibility elements there, we want to highlight them and also extend, based on our knowledge from the landscape and the input from the workshops that we have, what the reproducibility means in different domains and how to ask, what questions to ask if you want inside your DMP, your software, whatever that might be. Does this answer your question? Good. Thank you. Yes, so this is one of the things that we are working on and you should, I mean, if you want to look out for next year from us, other things we have already mentioned with different projects that we are involved in, so we are going to have, we will be inviting organizations and representatives to speak for like how they used Argus in their own environment, so you will see more use cases of the software being used in different environments, that's also something to expect next year, as well as more, you know, developments of new functionalities and whatever we are currently working on to be finalized next, I mean to be released next year, but what are your views, like what would you like to see next year? Or what is one thing that you want to change? What are your thoughts? What do you expect? That's like, I'm not the Santa Claus, but I might be able to help. Yes, that is it. Thank you. We don't have much experience with Argus yet, but one point that seems to be very interesting is the use cases that you mentioned, how different organizations have tried to include Argus into their own administration, so and yeah, how the different solutions look like and maybe also how fair these solutions are and what the potential for other organizations is to learn from them and to take over some parts without going the entire way on their own. So yeah, thank you. Thank you, thank you so much. Yes, for sure. I already said, we will be sharing more of those things. We did this year, but only for two cases, so PSNC in Poland and the FCT in Portugal, but we can yeah, we can invite more people, that's for sure. Again, I don't have something else, it was supposed to be a quiz, but sorry. Again, as I mentioned, I would like to pay this respect to this person that passed away and that's why I would like to have a discussion. For example, I see people that I know already, we've talked in the past, it would be good to know what do they expect, for example, if I can name some, Boyan, you're also involved in a project that is going to start and we have a pilot together for Argos. We have already worked with Boyan to localize the Argos interface in Croatian and we're going to work on connecting with different national services, but that's starting from next year. So Boyan, you can be one of our invited speakers next year, just note that from now. Okay, thanks. But first we have to finish the implementation. Yeah, later next year. Let's say November. Actually, Creation Science Foundation, I had a meeting with Creation Science Foundation and they were interested in when will we launch the Argos for their needs because they would like to use it. So the need is there, everything is prepared, so we just have to finish it and launch it. Yeah, that's perfect. Thank you. Thank you also for the update, Boyan. So that was the need from a funder. I don't know who else has requests, for example, from an institution or from researchers themselves, individuals. Yes, please. Thank you. I think I explained it before. We have some specific requirements in Sweden because the universities are authorities and we would like to try to find a solution to adapt Argos to these specific requirements. If it comes to researchers, we have a very long list of wishes. The best thing would be in some cases to have a data management tool that can talk to the researchers and say, okay, I understand your problems. Now you have to write this here and that there. But at this point, we can't offer that. I like your AI influence. You're influencing the DMP tools with AI discussions. So far, we take care of the emergency receptions if it comes to data management plans and someone just sends a panic mail. I have to send in this application tonight. Please help me. But that is a different topic. We have seen so far that question-based templates are helpful and working into that direction would certainly be worthwhile. Thank you. Yes, I agree. It would be good if we had a magic stick where we could say, let's now do this. I like your realistic approach at the end, apart from the vision that you have. Thank you. For me, that's it. A lot of things are going to happen next year with the new project, the Open Science Stress Project, that is focusing on DMPs. So I'm excited to start working on that also with other colleagues and share with everyone here the outcomes and see how we can help each other. But if there's nothing else for this community call, which I wanted to have it, although my colleague suggested that we can postpone. We can have it next year. I want to have it just to wish you all Merry Christmas. Have a happy time with your family. Yeah. Happy holidays. It's good to be part of this community. Thank you for being part of it. Thank you. Thank you, everyone. Thank you. Have a nice Christmas. Merry Christmas.