 Welcome everyone. I would like to start with an acknowledgement of country. We acknowledge and celebrate the first Australians on whose traditional lands we meet and pay our respect to the elders past and present. So here in Canberra I'd like to acknowledge the Ngunnawal people as the traditional custodians of the ACT and surrounding areas. Welcome to the Institutional Underpinnings Research Data Management Framework Showcase. Quite a big mouthful to say. My name is Natasha Simons and as the Associate Director for Data and Services at the ARDC I'll be your host for today. We are live streaming from the Australian National University in Canberra and I'd like to welcome everyone who's attending here in person. Welcome also to those who are joining us from other parts of Australia where we have many groups meeting in person around the country and dialing in via Zoom. So we have groups joining us from Sydney, Melbourne, Brisbane, Adelaide and Toowoomba. And welcome also to those who are joining us via Zoom from their place of work or home. We're overwhelmed and very excited to have received over 400 registrations for this event. So today we are showcasing a research data management framework for Australian universities and research institutions. 25 Australian universities led by the ARDC jointly developed a nationally agreed framework for RDM to guide institutional policies, procedures, infrastructure and services bringing consistency to the management of research data across the university sector. It took a huge collaborative effort with almost 100 people involved in working groups, 15 people on the editorial committee and 25 projects to test aspects of the framework at the participating universities. And for our efforts, we have a research data management framework which is available in this very hefty tome as well as online. And we also have themed cookies to celebrate. So all those who are joining us here in Canberra and in one of the in-person groups can enjoy these as a reward for all of your efforts in bringing this together. So we have some wonderful speakers on the agenda for today's showcase. First up we have ARDC's CEO Rosie Hicks who cannot be here in person but has provided us with an important pre-recorded message. Next we have Adrian Burton who has been the sponsor of the institutional underpinnings program at ARDC under which the RDM framework was developed. Nicola Burton who is also from the ARDC will take us on a journey through the development of the framework from her perspective as program manager. We'll then hear from a well-known figure in the university community Roxanne Missingham who is university librarian here at ANU and who is representing the framework editorial committee. We have three speakers sharing their experience of testing the framework through the projects at their institution. We have Jack Charlesworth here in person from the University of Tasmania. We also have Matt Belgard who will be beaming into us from QUT and Adrian Chu from the University of New South Wales. Lyle Winton who's the project coordinator for this will then outline the next steps for the RDM program, RDM framework program and I will close the event. So if you have any questions please feel free to capture them in the Google Doc that's been set up for this purpose and we'll then use these to provide a community FAQ in due course. So I hope all of you are as excited as I am to be celebrating this huge milestone in the Australian research community. I'd like to read out a message from Jill Ben who's the chair of QUL. The Council of Australian University Librarians QUL welcomes the new framework which will strengthen and advance research data management practice broadly across professions, disciplines and institutions. The framework recognises the importance of the important role of many areas across universities to achieve data management best practice including academic libraries. We congratulate the ARDC and the 25 institutions engaged in this project for such a high quality and excellent piece of work. Thank you Jill and to call for this really important message. Please join me in welcoming our speakers starting with a recording from ARDC CEO Rosie Hicks. Data is becoming ever more important in driving cutting edge research. Research data is becoming bigger and more complex and increasingly we're seeing that research data can be combined and reused to answer questions that were not foreseen when it was first collected. To take full advantage of the power of research data it must be managed effectively so that a valuable national asset is not lost or rendered unusable and universities play a critical role in the management of Australia's research data. They're the home to a huge proportion of Australian research and responsible for providing the support and resources that allow researchers to conduct this work and research doesn't happen in isolation. Collaborations often span multiple institutions and by bringing together data from across universities we can build the truly national-scale data assets that support world-leading research. The better coordinated research data management is across universities the easier it is to deliver these collaborative activities. However coordination of research data management across universities is not a straightforward task. Research data management is complex and involves many parts of the university all working together. Coordination can be challenging within a single university let alone across multiple universities. In this program ARDC has sought to support research data management capability in Australia's universities by bringing together experts in university research data management to develop a resource for the sector. Through this program universities have been able to share best practices and find new ways to work together to provide research data management services and it's been fantastic to see so much enthusiasm for this activity and particularly heartening to see the continued investment in and recognition of the importance of research data management and all of this is during a period that's been very difficult for the sector. These 25 universities represent a wealth of knowledge and expertise and the framework they have created will benefit all Australian universities. This is an important step towards the coordination that's needed to deliver a truly joined up research data landscape for Australia. I congratulate all of you on this achievement and I thank you for your contributions. So as you can see from Rosie, well I'm Adrian Burton the director of data services and policies at the ARDC. As you can see from Rosie's message the ARDC actually exists to support these kind of national collaborative initiatives that create data capability. You're probably aware of what we do with disciplines and domains where we'll get linguists or blood transfusion specialists or this lady who I'm going to say is a sensitive species ecologist. We'll get those disciplines and communities together create national scale data collections, national access and analytical platforms to take their research to a whole new scale that wouldn't have been possible for any individual jurisdiction or institution. So that's why we exist and this institutional underpinning program has exactly the same premise that we would bring together 25 institutions to create a research data management framework that would otherwise have been beyond any single institution. From our point of view then okay why? As Rosie was saying a strong set of institutions you know a strong capability data and digital capability at our institutions means a strong national data system because you are the underpinning of that national capability and that's why the program is called institutional underpinnings. Of course such a national joined up effort would not have been possible without that kind of coordination and co-hearing role of the Australian research data commons but we're thankful to the Department of Education's NCRIS program that is takes a little bit of the money off the national research budget to allocate to these kind of joined up national strategic collaborative research initiatives. Now ARDC and NCRIS have only sort of provided you a framework in which to operate and really it's your energy that's made this all a success. We've had research managers, information professionals, technologists, skills and policy people from all these different organizations across the nation and that's what's really given this program its strength. And we hope that actually that the whole premise is that then your collaborative spirit that you've brought to the table has made that the whole now is much greater than the sum of all those parts. Like Rosie we're very very proud of the what you've done you should be super proud of what you've achieved we certainly are extremely proud of the program and it just the only thing left to say is thank you very much for your contributions and we hope that this is the start of a joined up community that will continue to provide that national underpinning. Thank you. Okay hi everyone I'm Nicola Burton I've managed this program so as you've heard we really wanted to make use of the expertise of Australia's universities to help to develop a more collaborative approach to research data management and for that reason we invited all of Australia's Unis to participate and we ended up with these 25 universities who contributed to the framework that is now on the table over there so again congratulations to everyone who participated. So we didn't really start out with any preconceived notions about what we wanted the framework to be or to look like what we started with was the concerns and issues and requirements and needs of those universities who joined the program and collectively we brought those ideas together into the themes and topics that became the elements of the framework so we had 19 elements that were identified by the group and of those we then had to identify those where we felt we could get the most out of expending our effort right now so all of these elements are very important for university research data management but with limited time and resources where did we really need collective action and sharing so we ended up with nine elements that were identified for immediate development and another 10 where we collected ideas and concerns and outlined them but they were put aside for future work so with those nine elements that were identified for future development we then formed working groups that came together to discuss them and so those were experts who were nominated from all 25 universities we ended up with as Tash said about a hundred people including many people who served on more than one working group so thank you so much to all of those who participated and something that was really important during these discussions was making sure that we recognised the differences in needs and scale and focus of the different institutions so we're not creating a hard standard what we're trying to do is to understand the principles that underlie successful approaches to each of these areas we also collected case studies and examples of good practice and finally we really asked those groups to consider what's currently missing what don't we know and what do we need to develop together in future so once we had those initial outputs those formed the draft framework but we needed to test this guidance to make sure that it made sense in the university context and a big part of that testing was the 21 projects that were conducted by the participating universities so each university or in some cases groups of universities took a part of the guidance and they tested it in their local context and we asked them to make sure that that testing both provided some uplift of capability at their university but it also produced some reusable outputs that could be of benefit to all universities in Australia and as a result we now have a fantastic toolbox of resources that are available from the ARDC website we also sought feedback from the broader sector so that includes universities who weren't involved in the development of that initial guidance as well as infrastructure providers and other research institutes and we took all of that feedback and we consolidated it into the final version of the framework so at this point I'd really like to thank our editorial committee I'd like to highlight the six members who were drawn from the participating universities it was a huge amount of effort to pull all of that input and feedback together into a single document and that really relied on the hard work and expertise of our editorial committee members so I'll just quickly take you through the elements of the framework that were identified so we have active data management so that's the infrastructure that's provided by universities to assist researchers with managing their data during the life of the project we have culture change so how we can adjust the way that people see research data management and also how to manage the change itself as we shift to new approaches we've got policy so what kinds of policies do universities need to have about research data management how can they be developed and maintained we have research data management planning which is the process of helping researchers to actively plan how they're going to manage their research data both at the start of a project and also throughout the life of that project we have research data retention and disposal so that's really looking at the fact that much research data really needs to be retained both as an asset in itself that can be reused to underlie the research integrity but we also can't keep hold of all of the data that's produced some of it is useful and some of it isn't and how do we manage that we have open research and data publications so that research data that we identify as being a valuable asset how do we make that findable and available and then how do we manage sensitive research data where there are risks around the mismanagement of that data that requires special considerations at the university we have the support training and guidance that we provide to researchers to help them to manage their data and we also have appraisal so the process of assessing the value of data sets and looking at the retention requirements that we have so those were the nine elements that were developed by the working groups and those formed the bulk of the guidance that's provided in the framework but we also have mention of these additional 10 elements that are also considered by the universities to be very important to research data management and in fact throughout the process of developing the guidance in the framework many of these elements were also brought up as being essential so finally within the elements themselves we have a wealth of guidance provided by those experts we have specific highlighted recommendations and case studies but we also have some areas where the universities felt that there was a need for better sharing of information and finally we have areas where there were gaps where we felt that there could be future action to create collaborative projects so all of this both provides a fantastic resource for universities to be able to provide RDM services but also helps us to see how we can move forward together as a sector so I'd just like to thank again all of those who contributed to this massive piece of work thank you so much thank you everyone for being here today I'd like to start off by saying Yuma Darawa Yuma and to say recognize the Indigenous people on whose lands we meet today and pay my respects to elders past present and emerging this has been a really really exciting project it's like having fun and being paid to do it it's just been awesome I'd like particularly to thank all of the members of the working groups and the editorial committee that you can see in the appendix and to recognize the awesome work that was done by the ARDC support staff particularly I work closely with Nikola who I learnt whose name I learnt to spell correctly I only took me half a dozen emails to Lyle and Keith who just made an awesome contribution of this to this now the work of data is never dead data is the lifeblood of all of our research and none of the analysis the improvements that we have in practice the developments that occur that put Australia on an international map can happen without good data management and it is a very challenging environment the groups that we work through to assess the issues were really broad thinkers who brought perspectives from a whole range of disciplines plus a whole range of perspectives as has been talked about already from information professionals from research support people from researchers themselves thinking about legal issues as well and the publication of this report doesn't mean that it's dead it means that it's alive and the work of ARDC in bringing this to life and setting an agenda that will require continual work is absolutely vital for the nation and for all disciplines I wanted to say that in terms of the changing environment and the liveliness of these issues just in the past two weeks so last week the report of the Commonwealth Attorney General's Department on proposed changes to the Privacy Act came out it does a whole section in section 14 relating to research data a whole section with four recommendations about secondary use about consents about the way research data should be managed it's not legislation yet but it actually means that there will be a whole lot more intellectual discussion and legislative policy discussion and policy discussion this year that we need to contribute to to get a really effective solution in terms of whatever the proposed legislation changes are and then we need to write the guidance this is the story that never ends it it truly is good to have a never-ending story and on Thursday this week I'm off to Melbourne to the ministerial roundtable on copyright because rights and having a new copyright regime is on the agenda and the minister for the arts announced his commitment to that in the national cultural policy last month and the attorney general is driving changes so it's a really huge field I wanted to emphasise that in looking at this particularly from the perspective of the researcher we were very conscious of different perspectives as you can see it's called institutional underpinning so it's what is the role of the institution in not just supporting the researcher but making a difference around the research within disciplines within particular projects within ideas and continuing that through the the lifecycle of the university not just the lifecycle of the research project that meant we also talked about really actively what was needed in terms of future researchers not just current researchers in terms of an international perspective and how we would make that live and help the university and there were huge differences I think the most exciting thing for me in a way was the discussion that it's not solved it's an evolution and we need to continue to evolve and we do much better doing it together I think it's remarkable that we had 25 different perspectives all there all speaking no one was silent everyone felt that they had a voice and that made a difference because we could learn from each other and then build a network that will actually create ongoing collaboration so really interesting to then think about well what's the next evolution in terms of policies tools templates and while there are lots of great examples in here there are lots of examples too about area where more work is required so that we get a better outcome for Australia and for all researchers and for all institutions but also how we respond in an ongoing way to this massively changing environment so it's been a really exciting journey I'd like to thank everybody who made that journey as thrilling as it was and who will be participating in the next set of iterations thank you everybody we get to get into the meat of what we actually did in this program it's awesome to follow Roxanne because I I always knew being involved in this program was going to be valuable I didn't realize it was going to be so much fun it was just the whole thing was utterly brilliant so I'm Jack Charlesworth from the University of Tasmania and we were involved in this program all the way through but including in the kind of projects that tested some of the framework so we were a little bit unusually in our first phase because we actually partnered with other universities in our testing we worked with Monash with a little bit of help unofficially from Melbourne and we were looking at both the sensitive data and the active data management elements and not to to go into too much because I could probably talk about this for hours I absolutely love this topic but we started off with the I think it was in the sensitive data element we looked at a cross work analysis where we looked at all of the data classification frameworks that were available across various universities and Griffith pulled this together and it was absolutely brilliant to see it all laid out on a page and see how much consistency there was but also where those deviation points were where it was that we weren't actually being consistent on a national level and that was usually in the confusion around how you classify your most your two most sensitive data types so so no real clear way to split those two out and we jumped around a lot and also in the language that we were using to classify data that varied quite broadly across universities so we thought okay well we'll see if we can tackle that we'll see if we can look at some consistency around data classification as a starting point because it turned out to be the kind of building block for both of those active data management and sensitive data elements that every time we got into those any more deeply it always came back to well how are we classifying our data in the first place to say yes it's sensitive or no it's not so I will show you what we did in the end I'm only going to talk about the Utah's example because Utah's and Monash went slightly separate ways we developed a framework from scratch whereas they assessed their existing framework and we used the same kind of approach to both those things and then came out with some recommendations about does the element work or do we need to to think about some changes the one big point where we came out quite differently to the original recommendations in the element was we'd originally said you should do research data separate from all your other university data as we got into it it actually turned out at least in our case that it was better to have one framework to rule them all to classify your data consistently as a university whether it's enterprise or research and then to split it out on your implementation so to have a common understanding about what makes data sensitive or what makes data open as a university across all data types and then in terms of how you're handling that data downstream to then make the distinction and what that meant was that we could get traction with not just the DVCR but the vice chancellor and the other areas of the university finally understood what we were talking about in terms of data classification because we were using the same scheme for both um we agreed with the framework that risk consequence should be your main dimension for classifying data and any other dimensions on your data could be dealt with downstream on your implementation um and that you should keep your categories as simple as possible and clearly ordinal and that's where the confusion seemed to come out in the cross work analysis is that when you got into the sensitive highly sensitive sensitive protected that that wasn't an ordinal structure that people could understand so there was some confusion about well okay is our top tier sensitive or is it protected in which way does that go so this is what it looked like incredibly simplistic you can you and your researchers can look at that and go oh yeah I get what that is I get how we deal with that um you start with um open data and transition through to your most highly kind of protected data but because we're talking and we used what Melbourne have done here we're using the the um traffic light system rather than actually putting labels on these things people immediately understand the difference between orange and red data we're not talking about one as sensitive and one as highly sensitive or one as sensitive and one as protected we understand the split so the bulk of the research data falls into orange because as soon as you've got intellectual property on it it falls into that category but that transitions all the way through to um data with lots of personally identified information when you're moving into the red zone that's where you've got a real clear distinction on this is data that absolutely has to have different controls underneath it and you want to know when your researchers are playing in that space um and then it means that we can work our way towards explaining to our researchers how do you transition your data back out of the orange bucket into the yellow or green so you're making it open what do you need to do to your data to transform that so that you can then safely make it available um so that's nice and simple um not to kind of steal Lyle's thunder but we are now you know working with this what are we going to do next um and we're partnering with more universities this time and we're actually going to look at those different dimensions that sit underneath the categories now and have a think about okay can we have some consistency in cyber security controls that we apply can we have some consistency in um data sharing data governance those kind of things but per each one of those brackets um so yeah that's the the next part of this awesome project and I absolutely love it and if anyone wants to talk to me about it um I'm really happy to talk about this kind of stuff so I guess in terms of our local implementation we're now working on okay we've got this for research and corporate corporate can do their own decision trees they know what to do with that kind of stuff now how do we get our researchers to think about order you know classifying their own data what kind of questions do we give them so that they can do that easily and then we do our kind of platform assessments by you know if you want to store something in the cloud here's the three platforms we've got available this one suitable for orange data so if you're working in that space please be using that that platform okay that's it for me thank you Jack just bear with us as we we come online with Matt who's going to be presenting virtually uh so there is so I'm hearing open collaborative and fun as the three kind of most common words that people are using to describe the framework which is a fantastic description of the process and the output as well but there's actually one person here who is not speaking today who I would like to take this opportunity to acknowledge and that is Frankie Stevens so Frankie has actually been our little cavalry person riding in at the last minute on a couple of occasions to save us to help us write the framework and she has done a really incredible amount of work unbelievable in helping to edit that framework and get it into a great state so I really thank you frame Frankie for your work and I will hand over to Matt thank you so much look this is a journey of QT research data management and primary materials will be referred to as a checklist but the timing was impeccable working with the ARDC and as I'll share in showcase how our all processes converged and with some pretty exciting outcomes so let me just start by saying well what is a checklist when I first joined QT back in 2018 I started the journey of research data management research data management plans and strategies by 2020 we had developed a research data management and primary material policy and this was a really important sort of step for QT and we went from policy we developed some guidance material which was through a static website but we really got feedback from the researchers that one thing is to have a research data management policy but do researchers actually understand and certainly do students research students understand it so we wanted to keep it step by step and simple and then of course we had an insight which was well hang on hang on why don't we actually develop an online tool and we refer to this as the checklist and so the checklist then became an environment and dynamic environment to be able to allow for research data management primary material planning and this really then links to the world of the ARDC institutional underpinnings engagement with all key stakeholders so it's not just about the researchers with ethics but it's also with facilities management for prime materials and and the schools and the roles and responsibilities of heads of departments directors of centres and of course students linked to supervisors real-time data analytics and then ultimately once we have a plan developing the planning approach how do we share that across institutions so that's the context and really quickly I'm not going to go into any detail because it's not here about showcasing what we've done but I think it's the context is important we came up with seven simple questions for the checklist so just zooming in there's all the demographic information around the checklist that's linked to the the research management system at the university and then the seven questions are here and that researchers can log in and access the key element here is not just for researchers but for HDR so if you have an HDR they can develop their own checklist and then link it to their supervisor and of course then they can then share that checklist and the development as it evolves over time you typically don't know the answers when you start out in your research project of whether you've got ethics approval or not or whether you need to have specialised infrastructure to support your research from a digital perspective and the cool thing about this is the analytics that you can actually see real-time how many students in this case we're showing staff utilizing the system actually students see sorry and from which faculties and whether they've understood the questions associated with digital data and just to get a you know this is all real-time data that's just as a live feed so since we went live and made a mandatory for HDR students 197 students are in the system new HDR students and you can see the breakdown you can see what questions they've answered not answered regarding the digital data and their obligations around did research data and of course then you can start to follow up and understand the nuance of what's going on there and of course some feedback from the students so that's the sort of backdrop and and then phase one occurred and it was really exciting and that we had you know the courageous and bold approach of the ARDC to bring 25 institutions grappling with the same research data management issues and I guess from my perspective and QT's perspective who else is doing what we're doing and who understands our issues and of course certainly what we found out that from these 25 institutions different stages of development different approaches different organisational structures different software systems that require different types of integration and different degrees of sophistication of some of these integrated systems enterprise systems so QT's contribution then was thinking about research data management planning not data management plans the checklist the primary material focus that you know want to make sure we don't just have an artificial divide between digital data and primary materials the cross institutional engagement and then making sure that we reflected the experiences of the QT library researchers facilities management and so that was really exciting and so as you can imagine with the nine different elements from at least from my perspective which one should I be sitting in because when you start thinking across that spectrum you know there's there's input and overlap between each of them but we did focus on research data management active data research data but really the the the exciting part was around phase two and and here we got a chance to assess the technical feasibility of piloting this checklist that we developed in other institutions and if together and Francis and Anish from Charles Darwin University uni sq and university camp where they may have a chance to say a few words but certainly this was really exciting where we started to explore the interactions and engagement and as you can imagine it's the attention to detail who do you talk to and understanding what you can share between institutions so with Charles Darwin they took a lead and if it's a higher absolutely phenomenal and working with QT and Charles Darwin University get a confidentiality agreement sign so how do we share information and exchange in the research data management we've got a template and a framework for getting at least that starting point which is really quite important to reflect and respect and protect institutionals personal circumstances and privacy with the the way they do things as part of that phase two then we were understanding the differences and similarities at other institutions and and the other exciting elements were to share the experiences because we developed a safe environment to communicate certainly through the confidentiality agreement we could talk openly around what the issues are around security around the user interfaces and design and we had multiple stakeholder engagements not just with Charles Darwin but with the university camera and uni sq and critical to all this was the knowledge exchange and you know the subtleties even though two of the institutions QT and another one had exactly the same research management system the actual deployments were subtly different you know one was utilizing more up-to-date API these become critical attentions to detail when we start thinking about integration interoperability reuse repurposing as Rosie mentioned at the start of this this session and then a part of all of that then was well if we are wanting to work across institutions surely we can talk to a service somewhere to provide us with a unique identity identify so as you saw in our checklist you start off by creating a checklist for your particular project surely we can then just get a unique identifier and ARDC developed a raid a research activity identifier so it's a persistent unique identifier for research projects we're able to integrate with that pull that through and then for every single element of that checklist working whether it be with HDR students whether it be funded projects whether it be for privacy commercial and confidence projects there is a unique identifier that can be reused repurposed and shared across the projects ultimately all the way through to when we actually develop and produce data that can also then be shared with stakeholders with that unique identifier being carried forward and so that was really exciting and so really just to end up you know where does this all take us well the exciting part is that we're getting really close and the the hosting agreement cyber one of the parties and we're just waiting for the other ones to sign to actually be able to work with another institution to as as the other previous speakers as have mentioned you know best practice good practice continuous improvement in practice perhaps is the best way to think about this that we have like-minded approaches we have an open dialogue and conversation to be able to understand the nuances already working with Charles Darwin University the sorts of those seven questions that QT had are subtly different from Charles Darwin perspective so we can have this multi tentative approach of an environment they can be reused and repurposed at a very in a cost effective way so I'm going to stop there just want to take this opportunity to thank the ARDC didn't think it was possible 25 institutions fortnightly meetings and multiple elements that needed to be discussed it was quite the challenge but certainly as Jack has mentioned really rewarding and there might be some feedback from other colleagues and collaborators that I've worked with so I'll stop there thank you and do we have Adrian to yes excellent thank you take it away Adrian hi everyone I'm Adrian I'm the project coordinator and academic lead on this project and today I'll be just presenting on behalf of my other project team members Adele, Hayton, Wade, Brock Eski and Jackie Cho our contacts will be in the last slide okay so this was an RDM training project that ran across three different universities this project aim to create a principles based research data management training that can be contextualized for different institutions so this is what we call a principles aligned institutionally contextualized RDM training it's really a mouthful and so we're just going to call it Pisces for short okay so the sort of long-term pretty ambitious goal here is that if the Pisces RDM training is being adopted in all institutions we can then achieve a common baseline awareness of RDM best practices which will one assist researchers to make informed decisions around managing their data and two given there's a principles aligned RDM training across institutions this would likely facilitate cross institutional management of data so I'm just going to flash this slide for 30 seconds just to show that IC was developed off the IU framework and to let everybody have a look at the minimum competencies that we are targeting in this training so as such this IU framework is sort of the principles part of Pisces as it outlined for us the areas that we can sort of back design into the RDM training and you can see that Pisces is not just about raising awareness the Pisces training is not just about raising awareness we are also putting in place some practical steps that researchers can take to enact RDM best practices so like data classification or using university supported platforms so it's really about you know getting them thinking about research data management so over the last 18 months the three universities jointly developed an RDM principles version so over the one and a half year we met regularly at least once every two weeks as a group and as the overall project coordinator I would also meet with the project lead separately especially when it's just about the sort of the contextualized version right and even at that individual university level we had extensive consultation with various internal data management stakeholders and across the three unis we also pilot tested Pisces and conducted focus groups with 69 higher degree research candidates so this like gives a sense of Pisces design the principles version the bottom green row it's the place where we sort of created the contextualized versions for each uni right so through this co-design process we found that wow we are three very different universities there is in fact a common RDM ground that we can fall back on so this snapshot really shows that we can be same same and yet different same at that principles level but different in the policies processes and systems across different universities right um so if at this point you're wondering if you know if if Pisces is any good well based on the pilot testers feedback we think that it did pretty well so here are just some of the feedback that we received from the HDR students who sort of went through the training so in a nutshell the HDRs felt that Pisces was really helpful in unpacking RDM both in terms of the RDM content you know in terms of how you know basically trying to help them navigate RDM and as well as the way Pisces is designed so Pisces is an online interactive training package that can be deployed on major learning management systems like canvas model or blackboard so the big question now is really where to next um our projects tell us that there are three different universities we can be same same but different same in the sense that there are common RDM principles or messages that we would like our researchers to do know um and different in the sense that we do have different policies processes and systems and yet we can sort of marry or reconcile the same and different um this means that it is possible to establish an RDM baseline an RDM baseline that is valuable in creating common RDM messaging across institutions um an RDM baseline that creates a common RDM language and commonality is important in the sense that it will then help facilitate collaborations across units for researchers and make it so much easier for them to enact RDM best practices so we think that Pisces has great potential in establishing this RDM baseline and like what the other presenters mentioned you know it's such a fun project it's such a fun journey for everybody we are going to extend a little bit more so as a step towards establishing that RDM baseline we are very lucky to have our ARDC support in that for 2023 so in this extension project we will be extending our pilot testing approach to five new universities in different states and territories um so this would help us this would really help us fine tune Pisces and also its design and development methodology so another aim of this extension project is of course to develop a community of practice so sustain and update the training post this project phase um I mean even though it's full of an RDM baseline something that's agreed upon but an RDM baseline must also keep up with changes in policies processes and systems um so that's the Pisces project um feel free to contact us if you'd like to know more about Pisces I believe Adele and Jackie are at the Sydney satellite site today so do approach them if you have any Pisces questions um that's it from me and so it's fallen to me to tell you about the next steps some of you already know that we have already started on the next steps as Jack sort of alluded to before and so we're actually in a new phase of the program and it's called institutional underpinnings extension we started late last year and we'll be going through until late this year the aim is to build on some of the amazing outputs that we've seen from the previous development of the framework the guidance and the resources that have come out of the projects as well and we the aim is also to continue the collaborative spirit that we've seen previously in particular to look at areas of research data management that could do with advancing and can actually benefit from collective action with the universities there's something different about this phase as well we're actually moving to a membership model this time around it's not like a project with a very large number of partners this this IU RDM network is going to be a forum where we can actually discuss the challenges as well as some of the best practices and opportunities that we can come together to share we're also going to get the network to help us to guide us through this extension phase of the project and the membership is also open to all universities in Australia it was I think I could speak for both of us and say an absolute privilege to work for well with and for 25 universities and this time around we have 31 universities is that right so far 31 and counting and so we're getting bigger we're getting better what are we focusing on right now so right now we're looking at trying to select four projects that has a level of ARDC investment on those projects they're going to run throughout the extension period of the project the IDM IU RDM network is actually helping us to identify what are the project areas to actually do all the planning and also to select which of the four projects the ones that we go ahead with all of these need to be delivered by at least two universities involved but we're expecting there to be a large number of adopters involved that also helped shape that project as well and as we've done previously all the outputs will be available to all universities so where are we up to wanted to look like I didn't even know that my slide would look a little bit like yours Nicola but this is actually the outcomes of one of those conversations that we had which we think are quite fun and so so far we've actually identified seven seven problem areas that would benefit from collection collective action the network members have voted and identified the four that will go ahead lead universities are now actually drafting plans and these draft plans are available for the network members to have a look at and by the end of this week we should actually have some finalised plans for what those projects look like I thought because we don't have finalised plans I wouldn't talk too much about what they're going to be Jack hinted at potentially one of them but the areas that they're going to be on are business intelligence and reporting for research data management at institutional level retention disposal of research data training and research data management might look a little bit like what we just saw in that previous presentation and continuing the sensitive data research data management conversation and then what more beyond that I think we should just say that we've not actually finished that discussion with the members yet but we intend on doing that so there's a few ideas the the framework itself if you read it will actually highlight a large number of areas or eight areas important areas where we want to share more information so we know more what's going on in institutions across Australia that could be an important thing that we could do in addition to that there's always the opportunity to either extend or deepen some of the advice that we've we've actually pulled out in the framework as is and that's all thank you vile end of slides okay well I'd like to take take this opportunity to thank the wonderful array of speakers we've had today that have really explored the spirit of this program and the outputs that they have created congratulations to everybody involved in the program it's really wonderful thing and just a reminder that this is not the final version although it looks very final in this lovely little form but actually it will be a continuing and living document because the environment is continuing and living and you could see from the talks from Jack and from Adrian and from Matt how this is a really evolving space and we hope to see more of that coming down the line so thank you to everyone who attended thanks to everyone who's attending here in Canberra and at the physical locations enjoy the cookies enjoy the conversation and to everyone who's joining us from home and online thank you very much