 Okay, I'm Maud Francis at the University of New South Wales managing library repository services for about the last eight or nine years. So as stipulated in the Australian Code for the Responsible Conduct and Research, researchers are expected to ensure that their data are well managed, but to do this, institutions need to provide the infrastructure and support services. To this end, the UNSWIT Investment Plan is funding several projects over five years at UNSW to build enterprise systems for managing the university's research data. During 2013, the projects delivered services for research staff management planning and for archival storage, and these were prioritized by academics around the university. Under direction from the Division of Research, the services were collaboratively developed by the UNSWIT and the library, as with the other universities. And during 2014, the data management planning and storage services were extended to specifically cater for the university's high degree research candidates. So prioritization of the investment plan for research was based on comprehensive input, as I said, from academic and research areas of the university. The top selected program was for research data management services, and in particular for archival storage of data. So my focus today is on the yellow and red bars in the diagram that you can see, which relate to research data management planning for academics and HDR candidates. So at UNSW, RD&P Research Data Management Plan is a web-based service built by the library repository services team. And it was a critical component of the data storage project because the Division of Research who directed the project stated, like other universities, like Sydney in particular, that archival storage was only to be allocated after completion of an RD&P for the project. So to kick it off, a business advisory group with membership from academic, stakeholders, IT and the library, as well as the Graduate Research School and Ethics and Compliance Unit was established. And this ensured that the services and system were implemented with reference to existing infrastructure and practice. The RD&P was developed as a second component of an existing library service, RESdata, which was built with funding from ANS during 2011 to 2012 to deliver records of research data sets, so publishing data to research data Australia. The thinking behind building a research data management planning service on an existing repository-based system for managing research data was that metadata on RESdata, some of which is provided by other information systems at the university, can be reused across the research lifecycle. Fundamental to this thinking is that existing institutional sources of truths are leveraged where possible. This reduces the data entry burden for researchers and optimizes the accuracy of the information and plan. A further consideration relates to integration and co-location of services for data management across the research lifecycle. Currently planning, storage and discovery, but with future possibilities, the preservation of data and services for processing, analyzing and sharing data during active phases of a project. So what do these integrations look like? Starting with the powerful boxes at the top, enterprise services provide information about people and grants. RESdata receives this information in a daily feed from the USW Data Warehouse, which there is named Julia in the brown box, it's now been renamed as the info hub. The RDMP in the blue boxes on the left, I think it's the left, yes. In the middle section of the diagram comprises a custom built user interface which researchers use to create and edit research data management plans. The information is stored and indexed in a Fedora repository, and information from Fedora is communicated via the provisioning service, which is another brown box in the lower center, to the UNSW Data Archive at the bottom of the diagram. Details of research projects and the data, as well as roles and access permissions of personnel and research teams, are used to define the storage space in the Data Archive. And the workflow for plans relating to postgraduate thesis draw also on information from the UNSW student system. And there's information about the candidate, their supervisors, and their research projects. So as you can see, there's a lot of similarities with other services we've talked about today. So they're all out and uptake. It was piloted initially in 2014 with four research groups, 50 sessions with research committees and all faculties and the staff and candidates in schools and research centers were conducted during August to May last year in this year. And these were run jointly by the research support specialists in IT and another staff person there, the library outreach team member from the team and someone from Library Repository Services. So currently we have 300 unique users, 250 of whom are staff and 50 are HDR candidates. And more than 80% of the plans are from people in medicine, science, and engineering. 160 storage requests have been made from these plans. So where do users get help? Well, the Reside Help Guide provides a step-by-step guide for users. And it's also a good place to go if you want to understand and are working to the service for people outside the university because the help files are available prior to sign-in on the Residata site and they'll provide the URL for that later. There's also a website managed by the Division of Research which has comprehensive information about research data management. So you can see the top left box there is research data management planning and it links to the Residata site. Support for library research data management services is incorporated also into services that the library's outreach team delivers. This leverages the relationships that developed already with some UNSW researchers. And in delivering these services, the librarians work really closely with the Library Repository Services team who built the service and IT's research support specialist who provides access advice on the data archive. Information about the RDMP has also been incorporated into the Orientation to Research sessions for new researchers and HDR induction sessions. So I want to touch just briefly on sustainability and operational matters. So in the first instance, the board composition I think is really important because it ensures that the services and tools for managing research data are aligned with the university's strategies and practice. Having senior stakeholders on the board provides the resources and visibility required to achieve the project goals. So a fundamental requirement for sustainability in my view is really tight alignment between the parties and interests. The library, division of research, IT, governance and support services and policy infrastructure and research practice. Okay, improvements in future plans. So we conducted a survey of users sometime last year and out of that, one of the issues that arose was that when someone had completed a research project, then gaining storage by actually filling out a data management plan was kind of, yeah, putting the horse in the wrong way around. That in fact, the planning was a little late. So we've created a reduced version which is called as post project storage allocation form which has some mandatory fields required by the division of research for them to access the storage but doesn't require that intensive planning of projects, of data management as with existing projects. So we also responded with easy navigation, pre-populating four subject codes from the info feed and those three are completed. And at present, we're looking at ethics and compliance integration, more sample RDMPs in the help documentation and a clone function, which enables someone who's created one plan to then duplicate it and change a few fields for the second plan. Future plans are to integrate the Auckland feed once we can get it out of the data warehouse and respond to requirements of funding bodies as they arise in Australia. And this, as most of you or several of you will know is a pattern in the US and UK and Europe where funding bodies are acquiring data management plans and most of the planning tools are actually driven by those requirements. Further integration also with metadata and resdata data set records, the other part of the system and to extend the RDMPs and metadata with disciplinary schema, for example, DBI. So I'm just gonna give you a really quick flick through a couple of slides to show you what it looks like. So as I said, you sign in here at the resdata site the help on the top right under the library banner is where anyone can go prior to sign in. I'm gonna use a plan prepared for the demonstration, a previous demonstration and also I'll therefore be going into the edit function. Note that the plan on the right side under the manage button can be exported as well as a PDF document. You can view it, have a look at the story status, et cetera. So here's one we prepared earlier. I'm not showing the complete page but you can see along the top of the page the plans organized under tabs that reflect project governance, data organization, ethics and privacy, IP and copyright, et cetera. Data organization documentation as with Sydney's, it's a lot of dropdown options. If the response to the question about non-digital data were no, the sections for description and location of those data would not appear on the form. So basically based on a yes-no response in many cases, further sections of the form will be provided. Some fields are mandatory, others not and in a field, a plan can be saved as a draft in which case nothing's really mandatory except I think the title and lead chief investigator. In this case to get storage and actually complete a plan although it's, as Katrina mentioned, a living document not necessarily completed. Yeah, so here on the ethics page because I selected no to the first question, further questions about the data are asked and had I responded yes, I would be asked to provide an approval number and the currently planning integration with the research ethics and compliance systems so that this information can be automatically populated. On the IP and copyright section, note that more than one copyright year is possible so be acknowledged that this is often required for longitudinal studies and for research involving model datasets. And users can navigate back and forth at will. Initially they had to go in one direction and start to finish and that proved quite problematic. It's not quite the way the research is done so one of our early enhancements was to take away that requirement to complete the plan in the order it was presented. And finally to the preview page. So that's all I'm gonna show you of the plan. As I mentioned earlier, the help files are a pretty detailed run through the plan and included a lot of screenshots from sections of the plan. And here's a link to RezData and to the data management toolkit page I showed you. And at the bottom there is a presentation which actually goes into a lot more detail. So peer-reviewed paper which is available through that DOI provides a lot of detail on the actual technology and thinking behind the plan. So that's it, thanks.