 see almost everyone is back so let's start again. So the afternoon session we start with actively supporting data management learning from the approach of three research institutions. So we have this morning what is expected of us or one of the things of some things that are expected of us repository managers, librarians, or how open access officer what we are dealing with. And first we'll have Robin Rice from who is a data librarian at Adembro University Data Library and she will be talking on developing online data management resources for researchers and librarians. So as said she is a data librarian at the University of Adembro based at Edina and the Data Library Division of Information Services. She's a service managers of both the university's data library and the institutional data repository, Adembro data share. And she serves on the Edina management team and the IS Research Data Management Implementation Committee. She has led a number of JISC funded projects aimed at building capacity for data creation and research data management services at the University of Adembro. So I would say that we have an excellent speaker here to tell us something about actively supporting data management. Is it working out? We have to wait a little bit more for technical reasons and then we can start. It's there? Yeah. Okay. Do you like this? We'll switch to your slides. Yeah. That might help. I didn't try it. Yeah. Okay. Just getting used to all this equipment. Yeah, so I'm the data librarian at University of Edinburgh which I'll say a little bit more as part of the topic. I'm in a unit called Adina and Data Library which is a division of information services. You may or may not be familiar with Adina which is a JISC funded national data center providing online services for UK higher and further education. I'm just going to explain about data libraries a little bit and our data librarian in particular as a lead into the topic of data management support and training for librarians. So these are my main topics. A little bit of background about what we're doing at University of Edinburgh and something called our research data management roadmap which is a way that we're categorizing things we need to do to really implement our data policy and then what we're doing in terms of training and particularly for librarians with the DIYRDM training kit. So data libraries have actually been around for a while. The term might mean it might bring different things to mind like a software library of programs or it basically comes out of the social science tradition of reusing data especially large scale survey data or census data that's maybe collected by government or a large research project and has a lot of information that can be mined over and over again by a lot of different people and then especially quantitative social scientists wouldn't have had to go out and collect their own entire national sample survey to do their analysis. So it's a strong tradition in the social sciences for secondary analysis and some of the earliest data libraries especially in North America where it's more of a tradition and Europe where we have national data archives being a little bit more of a tradition. It goes right back to when things like census data were digitized in the 1940s. As soon as there was digitized data there was a need for these data libraries. So this is what Wikipedia says and it's always a focus on the reuse of data for secondary analysis. So our data library service at Edinburgh has been around since 1983 and the reason for that is the first population census data that became available in digital form for analysis was the 1981 census. So when the government was going to, oops, that might be on a animation slide by mistake. The library wasn't really ready at that time to deal with digital forms of data so the data library was created and we were actually part of the computing service for many years but now information services are all merged anyway. One big happy family between IT and librarians but the data library has remained intact and all this time. So our emphasis traditionally in the data library was always helping staff and students in finding, accessing, using and teaching with the finding teaching data sets or turning their research data into teaching data sets. For example this very pretty data visualization at the bottom, no at the top, sorry the map is mobile phone usage you know so it may be something like that. So this is just a screenshot of our website of the data library service itself and now that comes inside of a bigger web page about all kinds of research data support but this is where our sort of bread and butter service resides and the finding data is a data catalog which in the past would have been a catalog of data sets we had like on nine-track tapers had locally and it's become more and more of a virtual catalog of pointers on the internet but of course with Google there's a much less need for that kind of virtual catalog so we're we're finding other things to do as well we come apparent as we go on but things like accessing data through national online services or perhaps purchasing an expensive data set they could come to us in some cases it's like with Eurostat European Labor Force survey where the data manager who keeps it under lock and key de encrypts the files for the user and you know all of that kind of thing or we might help with people using data either with statistical packages or GIS mapping packages to a certain extent we're not statisticians ourselves and I just wanted to say I know this is a pre-conference to ELag but there is another conference just three hours away by train in Cologne this week for I assist and it only comes around to Europe every few years because it's international cycle and there will be a lot of data librarians there but also data archivists and other data professionals some social scientists and this is you get to meet Superman apparently outside of the Cologne Cathedral that's from their website it's very entertaining so I'm sure the hashtag will be entertaining too you can be attending one conference and watching another one as I'll probably try to do too so on to the policy this was apparently one of the first or maybe the first formal policy in the UK on research data management specifically we there were a lot of things leading up to that but I won't go into ancient history on you basically it passed the University Senate in May 2011 and because it's it's quite nicely written I can say that because I didn't write it Chris Rusbridge the previous former director of the Digital Creation Center drafted it at the request of our librarian and we came up with 10 brief principles so it is quite readable but not quite so brief for a PowerPoint and it's it's a lot of what it's doing is setting out the roles and responsibilities what's expected of the research or what's expected of the University and sort of what the boundary is because we we wanted to emphasize those responsibilities without interfering without being seen to interfere in the researchers control of their own data so I think we got that balance pretty well because other universities have been sort of copying what we set out and I just wanted to underline that that didn't happen by magic there was a wide consultation there was a committee that you know talked really hard about what should be in it and then we consulted widely across all the colleges and schools got feedback revised it before it was passed so that's my picture of the policy doesn't really tell you that much but wordles are fun to put in PowerPoint slides I think it's a the language is softer than some of the other policies I've seen that is really focusing on a mandate but at the time because we were a bit cautious being the first University in the UK to say we're going to have this policy we really wanted to back up what the research funders were saying was needed and that actually is it seemed to be the right tack to take and I'm not sure why the word appropriate is so big I've controlled for the words research and data otherwise that would be the biggest words but I think it's about depositing as appropriate in an appropriate repository so on to the roadmap how we're going to implement this wonderful policy because you know let's face it it's just words until until a lot of people start doing a lot of things this is the picture of the roadmap which is a high-level strategic plan for we've we've only kind of set out what we're going to do over an 18 month period and then but the goals and objectives take us beyond that and we can come up with some more deliverables after we see how far we get after 18 months so data management planning we're getting a lot of help with that set of work packages from the digital curation center we're looking at using their DMP online tool and customizing it for University of Edinburgh use so we give them some of the answers based on the services we can provide we also think it needs some customization right down to the research unit level because you know let's face it every all research as we heard from colleagues at the table all research looks different and so you need to use the appropriate language for that research discipline active data infrastructure my colleagues in the IT department are working on rolling out a petabyte or a couple of petabytes of storage so that to suit the majority of needs of all the researchers we we know going right back to a 2007 research research computing survey that what the researchers really want from us is storage space so before we get too far and rolling out all of the other shoulds and shouldn'ts and best practice we want to make sure we have that storage in place so that they can have a place of secured networked backed up place to work on their data and collaborate with anyone that they were collaborating with around the world the data stewardship is a lot of what I'm focusing on in terms of our data repository thinking about the digital preservation requirements 10 years and more and also working across systems because we have a we use pure for a current research information system to keep track of research projects and we want all the systems to kind of make sense and work together and not cause the researcher to have to put in metadata multiple times so there's a lot of interoperability in that work package but what I'll talk about a little bit more is actually the data management support which all of so as you see the whole roadmap it takes involvement from colleagues right across IS it's been quite fun that way to get out of my silo and other people get out of theirs to work together so what I mean by data management support is general consultancy and support service throughout the research process this is I put this in at the last minute because everybody's been showing data life cycles and I thought oh I have another good one so unless you're sick of data life cycles and let's face it not everybody likes these data life cycles I've come across several researchers including the head of our steering group who just goes I don't get it you know leave that thing out but we tend to like it so in the beginning where the researcher has the clever idea and is designing their study that's when they really should be doing their data management planning that that might come as a surprise to them but that would be the time to start thinking about it then of course through all the research project itself you have to provide some kind of infrastructure for them like I was talking about with this storage and then at the end maybe you could think of it as a life course if not a life cycle how how are they going to pass on that data for someone else to curate it's some might choose to do that themselves but the majority would want to pass that on and publish it in a repository of some sort and then move on to the next research project so I've borrowed this slide from Monash University who will come up again and right so so this is in one slide everything that we think comes under data management support in the roadmap so we need guidance for academic staff and at the moment we're doing that through a web page web pages we we need to be training people right from the beginning to establish better practice as people learn their research skills so we're we've worked with three three schools about embedding this online training course in there in their programs and we're slowly getting out to others it's I'll tell you more about mantra in a minute we're doing awareness raising we haven't actually really started but as soon as we know the storage is in place in a couple more months we'll get there'll be a schedule of awareness raising and service rollout to talk about you know carrot and stick almost like you're getting this storage how are you going to use it what procedures are you going to set up at the school level to allocate your space and manage things properly and then the really tricky stuff what about in-depth data management consultancy maybe getting the idea of embedded librarians working on grants costed in the grants and we've got one pilot example of that with research project called acumen advanced quantitative methods network which is a social science research project or set of projects really in Scotland and with speakers elsewhere and I'm costed in for six days a year over four years to be a quality assurance advisor on their data management planning so that'll be interesting to see how that works and then we also need to train librarians and IT staff of course to raise their game so this is what the online guidance looks like everybody's doing it now we've had that in place since 2009 but we recently revised it not really sure how much I mean I have Google analytics and things but we need to find out more about what whether it's meeting the researchers needs one thing that isn't in there that we know is costing which is a tricky one which will work on in the road map and then there's Mantra which came out of a just funded project but we're maintaining it and updating it I think it's quite useful this shows you that this is the only place I'll talk about what the names of the units are there's about eight units with it's a self-paced course you can go to the website anybody can go to the website and work through it at their own pace I've been told by a couple of people doing the whole thing takes about three hours but that doesn't count the recommended reading which can give you a lot more if you want to and it's it uses an online tool called Zerty for which is a learning software creation tool at the moment it doesn't show up in the iPlayer because it's based on sorry it doesn't show up on the iPad because it's based on Flash but we're gonna migrate there's a new version that uses HTML5 so we're gonna migrate it over to that so there's a lot of stuff in there that seems to be quite effective this is again another wordal just taking a peek at what shows up in one unit about documentation and metadata maybe should have controlled those words so what about the liaison librarian training we've done a pilot with with for liaison librarians and over over the winter and now we're gonna train another four because that seemed to go pretty well so that's a collaboration between the data library and our user services division where the librarians are based it's based on mantra it really was inspired by data intelligence for librarians which you'll hear more about the next talk and again moan again Monash this is Sam Searle who was at Monash and she's moved on but she won an award for doing data management in in an Australian like University library and she used her grant money to come to the UK and visit with us and Oxford and other places and we had her give a talk about what it was like what their program with liaison librarians was and this is what they had accomplished up to 2009 so they really were an early trendsetter and what I really got from her and I keep remembering as I'm doing this training is that it's all about building up the confidence of the librarians to go out there and talk to the researchers about data so I didn't I realized I should have had a picture of our first four trainees and I didn't so I found this on the internet so the idea here is we've trained our librarians and we love librarians so we've put out this training kit so other librarians who want to use our method can go and set up their own small groups and train themselves so it's the training kit so just tell you how we did it and this is all part of the kit as well and the approach really is that the librarians are professionals they've got their own experience to bring to these issues it's not so much about right and wrong answers it's about getting people talking sharing stories in a small comfortable private space and you know I think it's important to talk to them about how they want to do their training get get their agreement about how we proceed not just get the permission from the managers to train them yeah so emphasis on facilitation rather than teaching which is why anyone can do it you don't need to have an expert if you have a good facilitator these are the topics it's a bit of a sometimes it's a putting two mantra units together or skipping one these are the topics that we agreed were important and we had we had guest speakers with a short talk to remind people about what the topic of that week was about followed by long discussions it was a two hour duration people were talking through the whole whole time so either we got a very talkative first group or it worked very well and we also used group exercises from UK data archive which are excellent such as looking at different kinds of consent forms and saying now is this enough to to go ahead and publish that data or should that consent form be changed so it really gets people thinking and then we also gave them homework so but we give them plenty of time to do it at least two weeks in between each session they had to fit this into their regular job and the main thing was they do go through the mantra unit and the recommended reading and then they have reflective questions which they either can write an advance or just be prepared to talk about in the group that kind of puts them in the shoes of a researcher and then right now the the first four librarians are going to interview a researcher and write up a data curation profile to build up their confidence actually taking that what they've learned into the real world with with researchers and we also want to practice what we preach and put the data curation profile up there on the Purdue website where they're trying to collect a bunch of discipline specific data curation profiles so that's all the contents of the training kit everything you need to do what we did available on a website in zip files and if you don't have your own local speakers for the short talks or you don't have all of them you can use our podcast or you can use the PowerPoints and and each you can use the participants could present each each week's session by studying it in advance and of course in any training you should evaluate in some way so we have an evaluation form to find out how it went and it's all creative commons license so you you can do whatever you want with it you can change it and make it your own and those are some of the links thank you