ANDS Research Data Management 101: RDM 101 University of Melbourne 16.07.2015 Why Data is the new Black? Data are valuable assets. Table 1 New infrastructure possibilites for recording / accessing / using data Provides opportunities for others to authenicate research Opportunities to share research Encouragement to collaborate on research / build on / re-use data sets Using datasets from a different angle eg. sociology - does this alter the integrity of the data, is this ethical? Preservation of the data is an issue - particularly 'born digital' Table 2 Shawna, Bryony, Sara, Mario experience: liaison librarian works with researchers. data mgmt plan is discussed With students Where to publish. Lib Guide beyond 3x5 cards. Old style research data. Share the shoebox of cards warrnambool, attaching cameras to birds. Data is images Nature articles require shared data data reuse Table 3 Important to get permissions right ethical clearance To validate research outputs accountable for funding purposes promoting research in various archives bring together different fields interdisciplinary, creation of new knowledge buidling upon existing knowledge publication driver storage identification IP issues instaitution wants value brings more researchers to institution management of data responsibly Allows non traditional audience to access dats contributes to citation impact and researcher impact Table 4 Takes ages and is expensive to generate There is a lot more than there used to be Institutions realize there is additional value to generated data There are complience issues that force data to be preserved/opened Multi-disciplinary research can benefit a lot from access to data/improved discoverability Institutions/ITS departments realize that legacy data needs to be responsibly managed/can't just be deleted Table 5 Amy, Neil, Alison, Zixiaw, Vejune, Foundation of all research Intrinsic Allows for analysis for future discovery Can take data Recreation of the research hypothesis Publications are one part of the outcome. Don't fully describe the research. If data accessible, other researchers can help understand research. By having data you can validate the research because you can re-engineer/replicate it. Many resources go into collecting data, should be valued. Table 6 Makes research more efficient Institutional profile Supports research funding (competition for funding) For reproducibilty - so research can be reused. Build on existing research rather than repeating it, sustainable Open - benefiting the community, public good, compliance issue Research undiscovered is a secret - visibility of research Research not published is just a hobby' DIfferent perspective - government agency - it's an obligation because it's taxpayer funded - accountability For individual researchers - accountability, research impact, keeping their jobs, a 'career positive' - the early adopters are there, but more education needed - data provides opportunity for more citation Building connections with other researchers, new collaborators, new connections Research is multidisicplinary, breaking down silos, global, linked data Territorial mindset - I dont want to share my data! Breaking this entrenched mindset Table 7 Rising dodgy general practices require validation and reproducibility. Past was isolation, now building upon old data is more and more important. It allows greater advancement. Easier now than before because of technology. Important to Librarians to be confident to give best advice. Easy and better access to research data requires awareness campaign. Good to help researchers understand the data management. Why re-invent the wheel.