welcome everyone welcome to our webinar for today meeting the most unmet need RDM training for researchers higher degree research students and indeed our trainers so what we have for you today is four different models of data training and the people who have created that this webinar is part of a series of we will be as part of a series of

webinars and this is the first one for

those of you who are interested in fair data which has taken the world by storm over the next four weeks we've got four webinars coming up which explores each of the aspects of fair data findable accessible interoperable and reusable and you can see the short URL down the bottom of this screen so you feel free to have a look at those webinars and see if that's something that you'd be interested in in coming along to today

we have pretty still a line up I have to say and people from all around Australia so we've got Frankie Stephens who's going to be talking about the intersect model Frankie's in Sydney Poland Tao from Edith Cowan in Perth and Poland's going to be talking to us about top 10 marine science research data things Roxie and missing ham an image in Ingram from Anu chopped data to me and Liz Stokes there in Sydney from UTS is going to be talking about research data management training for librarians but what she's talking about is actually applicable to many different groups who do research from data training now I'm going to hand over to our first speaker Frankie Stevens so I'll start

with a little on intersect we're a not-for-profit organization that

provides a variety of e research services to our members which are present are scattered across New South Wales Victoria and the AC T we also edged into Queensland little and one of our most valued services is that of our the training that we provide in this year we're going to deliver over 200 courses which equates to approximately 1 every working day of the year so this is one of our most popular member services and it keeps us pretty busy so historically our training courses have covered rather more advanced research computing challenges we train

in a range of different topics that are organized into compute software and data elements and the data elements are ones that perhaps require less technical background and this is where research data management fits in and one of the challenges that we have as a as a

company is that our membership is broad and diverse so if you recall my first slide you would have seen that geographically our members are in numerous locations across a number of different states and some members even have a number of different campuses and our members also have different capabilities when it comes to supporting their researchers in data management so some have research departments some have very active libraries that assist researchers some have policies and procedures in place and so on and some even have infrastructure that provides tools and software to assist with data management but others don't we're also in a fortunate position in which we're being approached more and more these days to deliver training to external organisations such as government departments etc so given this landscape we've been building our training capabilities to be scalable and flexible enough to deliver research adamant and and our other training opportunities in a more tailored fashion to our members and potential future members so traditionally we've had a very hands-on

approach to training we organized group training headed up by an expert trainer with the local institutional intersect research analysts on hand to provide a

one-on-one approach where this is required and this model is hugely popular across our whole membership it actually enables attendees to get help with practical exercises and it introduces them to the local research analysts so that they can call on them for future help it actually also means that our researchers can use the training courses as an opportunity to present a real-life research challenge that they've been grappling with and they often get a resolution to this then and there and this model is also good for inter sectors it can lead to further research streamlining activities that we can provide through our consultation and software engineering service we actually enable all our attendees to access all course materials and exercises after the course so that they can actually continued their technology learning after the the course is concluded in research data management this means that I attendees leave with the beginnings of a research data management plan which they can actually continue to refine as their research goes on but as you can imagine this model whilst it's really popular it doesn't lend itself all that well to scalability so we have a number of members who have distributed campuses which means that catering to researchers on different campuses means holding a greater number of courses with all the Associated logistical challenges and so along with new opportunities arising from the Acoma review recommendations around the HDR experience we've actually been able to work with some members to evolve our training model so we've been developing a digital research program

for HDR students that provides a skills development framework which engenders students with broader transferable skills and this program consists of six different awareness-raising in training courses and there's an introductory course a course on digital footprint citizen science big data database concepts and of course research data management but what does this look like

practically well the biggest change is

that we've moved to a fully digital format and this enables our members who have distributed campuses to access webinars from one or two or three or perhaps multiple universities even at once students can log in from home or wherever they like really and this is good from the university perspective as we're catering for their students at any location which is something that our members report they've always struggled to respond to when providing their their teaching resources to their more remote students it also means that intersect has less logistics to deal with and we can train more of our members in one go but what about their the hands-on approach that I mentioned before this is really a hugely popular but our model that we've come up with this digital model does incorporate a secondary online expert that can respond to student questions and provide additional context and perhaps even enable those solutions to real-life research challenges just as before and so we're even looking into the possibility of having local research data management resources participate here so for example we have some local librarians assisting with the online moderating or information provision so again this this enables students awareness of the local resources available to them which they can refer to in future and where the university requires it we've also actually introduced an assessment process into the program which consists of a series of digital comprehension Q&A s that our student completes throughout the webinar and this verifies that we're actually providing a quality teaching environment and let's face it it also enforces the required attention span and so the program materials that are also being provided to students at completion so that they can refer back to these and investigate items accordingly for research data management this means further info is available on local policies procedures and they also get to initiate that digital research data management plan and finally we actually have the potential to blend both of these models models into one where we might have a large cohort of students assemble in a computer lab on a main campus for the program webinars and the local institutional er a or REE Research Analyst can actually be present in the room to provide that more traditional one-on-one experience where needed so as before this not only introduces students to the research analysts but it also provides avenues for any eventual consultation potential and we've also been working on our continuous improvement initiative where we enable surveys and follow-up aspects and this is helping us to build a viewers to their qualitative elements to our training offerings in addition to the more traditional quantitative ones so I'll I'll leave it there that I'm happy to provide more information to people offline so thanks Karen Thank You Frankie polling works

with the library at the Edith Cowan University in Perth and she's cleverly

adapted the top ten sorry the ten health and medical things developed last year by Kate LeMay into a flexible online activity based on the needs of a particular group and in this case it's the marine science community so thank you Paul Ian I'll pass over to you now Grafton and everyone thank you for inviting me to talk but the tambourine sign things libguide I'm currently a librarian with the ECU library research services team promoting awareness on REM issues to our researchers is one of our team's responsibilities today I'll share some information on why we develop the libguide how we are currently using it at ECU the benefits of it and a quick demo of the libguide earlier this year the issue library had the opportunity to work on our third hands project the project focus on the marine science research area similar to the previous end project the issue line reviews this project as a means to help enhance the visibility of the issue research datasets and to continue to find ways to promote REM awareness among our researchers last year ten issue library staff participated in the ends to make three things program and together we learned a lot more on our DM so the ants Bridget was right timely and provided us with the great opportunity to apply that knowledge we have learned from the 23 things for those who participated in the 23 things last year you may remember that at the end of the program a challenge was thrown to the participants to find ways to repurpose these 23 things material one of the great examples of how it could be done was of course the 10 medical and health things so as one of the project activities we decided to do something similar in the marine science area but we wanted to do it using an online library guide format so here's what we did the 23 things and 10 medical and health things contents were first review and materials that could be repurposed for the marine science libguide will identify the selected materials were then used to create a word version of the libguide a copy of the word version is available from the handouts box today then using the word version as the basis the marine science libguide was created on the library website what you see on the screen now is the home page of the libguide each tablets due to a different thing and in each thing you will see the different activities while developing the libguide advice was sought from the very client experience and star consultants namely Aggie Gideon Katherine tetazoo and Julia Martin together they provided some great examples of marine science resources that could be included in the libguide we don't got our science of jet library to help review the first draft of the libguide then to with another team member the existing easier RDM guy was review and updated to embed the guy the lignite went live in mid-may this year since it's an open resource anyone can now use it as a self-paced learning program to learn on our DM we can also use it as a teaching tool when we run our REM sessions with the HDR students the online Lib guide software was chosen to create this libguide because it allows flexible designing of the guide it also enables inclusions of materials such as embedded videos and images these resources make the libguide visually attractive and help to enhance the users experience in the online environment the libguide software also allows tracking of usage test statistics thus far this is when life we have had more than 700 views on the taps provided apart from the tabs all the hyperlinks crater in the libguide could also be monitored this allows easy assessment and helps identify if there are any gaps in the contents and areas for improvement we can easily update or add new materials as and when necessary for those who are using the same libguide software the software also allows very quick and efficient replication if are the libraries from issue or any other organizations wish to create other subject based headings guys overall I believe the 10 marine science libguide provides us with an easy way to reach out to the issue researchers with more relevant marine science RDA materials apart from benefiting our issue users working on repurposing the materials to develop this libguide indirectly allows the librarians to learn much more about REM itself especially with regards to the marine science data sets and resources it was great to have work with the different colleagues from my own library as well as with the n's team are developing the libguide the link to the Lib guide and the original word version was currently available on the answer website recently we also found links to the libguide populated on the website of two other organizations one is on the western australian marine science institute website and the other is on the agricultural information management standards blog so hopefully there will be more subject based and things that can be developed in the future for the community thank you thank you that was excellent okay I'm

now going to pass over to Roxanne missing ham and immigrant imagine Ingram and Roxanne missing hammers the a in

university librarian and image and

Ingram works for the information literacy program at Anu in Canberra their talk data to me and publishin or and prosper online modules are a lively mix of videos reading quizzes and case studies over to you lovely to be here today so we started on this journey from from various interesting spaces that you do in a university when we developed a live godly develop data management product been doing a fairly traditional stuff and we had a community that was seeking to really understand how they should grasp he resource data management in research data management issues and a range of different challenges within a larger great university so when we

started on the journey that has produced the modules that you will be able to see when you click on it at the end of the show our research has built a little bit like these penguins on this road that they were being equipped in various places with little bits of information and then they would try to jump in and hit their head on a sea of barriers when they knew there were resources and support within the university that was not transparent to them so some people were knew a little bit about supercomputer and felt frustrated some people knew a little bit about the Australian data archive and we were particularly done with the early career academics and higher degree research students and they felt they were very much at sea so in the university we've created a number of discussion areas we'd had three evening search committees set up and complete their terms trying to figure out what the university should do on a large scale and that turned out to be too big a problem to solve in any way but a number of the clear gaps to us were things that we started to film so our first little segue up to believe guide which have been around for our wards to create data management would see the website for the university women pointed to the practice all the investing policies and procedures all the information that was on faculty websites and we tried to bring it together in one cohesive way that took us 12 months of discussion investigation and there were probably still things that we didn't find at the end and it was a collaborative effort between the research services staff the library staff the repository staff the IT staff and the research training staff against every area that supports ADR training so everything that we learned from that was what we took along our journey so when we really were talking to the audience about what we need and there were various workshops it became clear that we needed to use some different pedagogy's and different tools to be able to really create a very successful solution particularly focusing on the researchers who are going to be the rec center such as the future so we love the moves and in looking at MOOCs we thought

we're going to be the newest we may not be having to and if I am but we're going to try this new technology to see if we can use the sorts of learning that's happening about education and knowledge transfer in a way that will help us learn how to communicate about scholarly communications so he mapped out six modules and one of them was the research data module we put out this lovely structure which started with the first one so people would understand the concepts and we very quickly decided what we needed to do with it how to publish and how to manage your data out very quickly because the need was so strong so MOOCs were important to us because we were thinking in many ways as previous speakers have about what how can we support the researcher who at 2 a.m. a hypothetical Richard research 2 a.m. in core will on a bit of not very good bandwidth necessarily needs to just do that first bit of data management project the thesis and they don't necessarily want to go through a whole course into end and they're certainly not going to come to our one our courses how can we reach out to people who are living in this world Facebook Instagram snapchat and and MOOCs is the way to do it so we really tried to bring those concepts together we talked to a lot of people who have done MOOCs who said to us authenticity is the most important thing not a huge lot of very high-quality processed material so we worked with a lot of people who we thought would be able to contribute so that we would be able to package everything up in short collections of information under themes with quizzes the two things I wanted to particularly emphasize before I move on to Imogen is that we use what was called at that stage a spot so it's not a MOOC which is the massive online open courses it's a sort of special private online course everything is fully openly available it's and it's not like the MOOCs where you have to join these you can join at any time and the intention was to get lots of three to five-minute slots where people can talk about an important issue and we had fantastic Buy

in from around the world and also to be

a bit entertaining and use new

technology so you will see when you see it but it doesn't have all of the only branding that you see on those slides because we went as we say off piste into an exciting space and used a number of different technologies we have have used before so that was very useful for us and the other characteristic for us was we actually asked all the way through particularly early career academics what they wanted and I think they would see us walking around canvassing duck sometimes we would sometimes we offered them you know coca-cola and pizza very successful I highly recommend a business strategy but we really want to be quite interested in moving our solution that met their needs and being able to be flexible thanks Roxanne ok so our module talk data to me you can see that we have

a great lineup of presenters and it was wonderful working with all these people from NCI from the AARC from let's have a little look there and and we also scored a presentation from dr. Tony hey the chief data scientist from the science and technology facilities Council in the UK so this particular module as Roxanne said is one that sits amongst a series of modules we've looked at a management plan start a citation funders data requirements and again with that idea as Roxanne said of assisting researchers navigate the scholarly communications and publishing environment specific in this case to research data management but not just researchers now this is research to the future getting people into this space thinking about what's required really early on even as early as say late high school students our wonderful presenters listed there you can see them as I said and we have also got more in the

pipeline so those other modules are being developed we are really fortunate to have had again amazing presenters from Yale or Oxford and the input and different perspectives from a number of experts in this area so watch this space and as you can see it's definitely been

a team effort it's been wonderful collaborating both within the library and between other areas of the ANU as well as students who have definitely played a role in the development of this module and the series yeah ok thanks Thank You Roxanne and Imogen I'll move

on now to Liz Stoke loses a data

librarian at UTS in Sydney and her presentation is about training the data trainers and as we said this one in

particular this is aimed at librarians but she makes the case for both RDM and data science training needs and how communities frame RDM training for their members so in this case librarians Thank You Liz over to you alright hi everyone okay so research data management training this question what are we training librarians for it's been weighing heavily on my mind actually so today I want to talk about how we frame how the library community frames research data management for our own development as well as meeting our client community needs and what's been happening at UTS so when I when I first got here I thought that my plan was fairly simple research data management is the future of libraries all I had to do was teach research data management to my colleagues turn them all into librarians data librarians provoke the university into action on research data management by any means necessary figure out what works and do more of that but it wasn't actually that simple

research data management may be the future but it's hard to promote that future when it looks like another freaking word form at so at UTS our research data management is largely driven by an asset management imperative which is very important actually so we have policy which mandates data management plans for old projects including PhD students and a higher degree research we also have stash records for research data which are mandatory as well for any researchers publishing data even as a supplementary item to a journal article that's going to be official in January next year and now we're very interesting for us in general the library is responsible for research data management training and the e research group in the IT division at ETS develops the infrastructure but my question is how you say

RDM awesome not just how do you say it but how we say it ok I'm increasingly uncomfortable with these ideas around our DM and DM pays these are terms that we've created by and for librarians I think that our DM is as much an artificial construct as a DMP which is more often than not an administrative requirement or matter of compliance rather than an actual thing that is supporting the doing or search I've realized that my anxiety around research data management has come from having the responsibility of persuading my colleagues to make space for a new area of expertise which is still as relatively abstract as the myriad training resources and online courses that are available to learn it while still remaining fully committed to business as usual moreover on reflection I learned how to be a data librarian by actually doing it not through during a course ok it was through working on projects learning how to be a partnering with researchers that the skill set required had more in common with a data scientists then then traditional librarians but of course of course I think every librarian he probably begs to differ with that straightaway but as a data librarian a growth mindset and problem-solving skills are potentially more valuable than the myriad pieces of the puzzle that make up the many matrices of research data management life cycles and modules okay so at UTS we're kind of doing research data management by stealth ok internally my department is piloting a tinkerer time project using learning analytics expertise from UTS data scientists to develop our growth mindset and data literacies so for example I'm in a little affinity group of amateur game developers and my project will be creating a character called bogan the librarian who must curate research data for a death-metal cultural studies researcher well that's just level one haven't got beyond that also we're developing introductory data management which is mainly data cleaning but also including data visualization skills for undergraduate Faculty classes and we're also promoting open datasets for teaching as part of our open educational resources for academic teaching staff so these examples are not strictly in the research data management world because that tends to be skewered more towards or aimed at our research communities but I believe they gateway drugs toward it I guess we could call it seeding the Commons or want a better way so speaking of other research data management by spelt stealth initiatives the recent res bears that we held in Sydney in July is an excellent example of that and that the research Bazaar is a series of workshops on coding and software skills for being able to teach non-computational researchers that kind of computational thinking that comes with using using our or Python to harness the power of these new next-generation research tools so we discovered that research students and staff want things like data science training and they want supporting data management tools applications and software so they want to know what will help them how to do research faster smarter more competitively and we found that from our pilot in July researchers I want to also want to build community and learn about research tools across disciplines and institutional boundaries so this is where we embed research data management by offering training in these open-source tools and software where things like version control are integrated in things like github alongside the res bears software workshops we also provided some research to other management workshops by that very name and I was I fell off my chair when I realized that that was the second most popular item in our expression of interest a form that we sent out initially and I don't know about you but we don't get more than 40 people registering for our regular research data management workshops so there's something else that is happening there that enables people to see research data management as something valuable and useful for them rather than just a DM on its own this year UTSA has also established a joint steering committee in a research and researched other management training and this is more at the executive level and that's going to allow us to embed research data management across a broader spectrum of specialized research support and data science services and finally we're integrating librarians into research a research infrastructure projects such as our the provision of project that a research is running and giving librarians roles such as the go-to trainers for research tool training for example lab notebooks and in the future redcap the research data capture application and also by giving librarians roles in say user acceptance testing of our in-house research data management tools - we can engage them as experts developing those specifically data librarian skills so to answer the question I started with this is what we're training our librarians for three roles as active participants in providing enhance research support services we're training them as instructors in delivering real data management skills from undergraduate through to our researcher communities we're training them as advisers to deliver research data management by stealth in a way saying up would you like research data management with that as one might offer fries or curly fries or something with it and finally as engaged librarians collaborating in a research infrastructure development you can knowledgeably refer clients to more specialized data services for example and statistical instruction or high-performance computing so being able to perform quite a triage role in that way and that's the end of my presentation thanks Karen Thank You Liz that's a really

interesting way that the UTS has integrated all of the the various

aspects of research data management training what we're going to be doing

now is we're just going to be finished but firstly I'd like to thank all of our presenters today I really appreciate the effort that you've gone to you and mostly the fact that the work that you're doing is open and that people can talk to you they can reuse the work that you're doing and that they can take the ideas and contextualize them for their specific institution or perhaps you may have a group in your university or institution who are particularly keen on data management maybe some of them have been caught on the publishers policies desperate to publish and can't because their data linkage isn't available and and so now we've got the opportunity to come together as a big community and really to share all these things so I'd remind you to look at 23 things in particular because what you've got there is you've got a group you can use a small activity from one of them you don't have to use all of them you can use it online from our site you can take

it it's there in a word and PDF documents so you can just take it down use it in whatever format you like