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.