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Aligning online Research Data Management Planning tools to maximise researcher engagement
Peter Neish and Jennifer Warburton
Aligning online Research Data Management
Planning tools to maximise researcher
engagement
MANTRA + DMPonline
Peter Neish
Research Data Curator, Digital Scholarship
Jennifer Warburton
Manager, Library Research Partnerships and
Programs, Research & Collections
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Session outline
• Project: develop online data management training program
• Melbourne MANTRA Pilot
• Managing Data @ Melbourne
• Linking Managing Data @ Melbourne & DMPonline
• Next steps
Managing Data @ Melbourne
Sasha has recently completed a PhD in human embryonic stem
cell biology and published a number of papers based on this
research.
Her papers have been downloaded many times, and cited
widely in the research literature and now she has a post-
doctoral position based on her successful publication record.
Three years later a fellow researcher has accused her of
research misconduct by falsifying her data
Image: ES cells treated with retinoic acid, immunofluorescence for Tuj1(red) and Nestin (green), nuclei (dapi, blue) . In Kyoung
Mah & Francesca Mariani https://commons.wikimedia.org/wiki/File:Nestin_Tuj_RA-treated_EScells.tif (CC BY-SA 4.0)
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Managing Data @ Melbourne
Image: Nissim Benvenisty in Russo E. (2005) Follow the Money: The Politics of Embryonic Stem
Cell Research. PLoS Biol 3(7): e234. doi:10.1371/journal.pbio.0030234 (CC BY 2.5)
What steps would Sasha need to take to
verify her research findings?
What evidence would she need to prove that she hadn’t
falsified the data?
If someone accused you of researcher misconduct, would
you be in a position to defend your research and reputation?
List some strategies you could implement now that would
assist you should you ever find yourself in Sasha’s situation.
The need: systematic, sustainable RDM training
$850m annual research expenditure
47,000+ students & 6,500+ staff members, 270 graduate courses
22 discipline-specific faculties & graduate schools
100+ research centres & institutes
4,600 graduate researchers (HDRs)
No central school of graduate research
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Project objectives
• To raise the standard of research data management across the university by reaching
as many people as possible in a simple and intuitive training package
• To help researchers comply with the University’s Research Integrity and Misconduct
Policy
• To provide a step-by-step practical guide for researchers to develop a Data
Management Plan (DMP) for their research / thesis project
• To start conversations around RDM
• To compliment the existing "Doing Data Better" website.
http://researchdata.unimelb.edu.au/
Phase 1. Melbourne MANTRA Pilot
MANTRA Research Data Management training program (University of Edinburgh)
Aims:
• Review of MANTRA content re: relevance and suitability for the Australian and
Melbourne context.
• Identification of content gaps for UniMelb researchers
MANTRA module evaluation
• Quantity • Relevance for research needs
• Clarity overall • Novelty in relation to own knowledge
base
• Difficulty • Usefulness of resources
• Clarity of technical information • Own interest in module content
• Pointers in content to more help • Helpfulness for research needs
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Melbourne MANTRA Pilot: module evaluation.
Module 1: Research Data Explained
Melbourne MANTRA Pilot
Summative evaluation – highlights in program
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Melbourne Mantra Pilot: Summative evaluation
Melbourne MANTRA Pilot
Summative evaluation
“ The value you get from these
modules will vary depending on what
stage you are at in your degree.
Would envisage that this could be
rolled out in stages over the course
of the first 12 to 18 months of PhD” “I liked the content generally, but it
stretched out too far. I think it would
be more effective as a shorter
course with the key points very
clearly identified, instead of so
many modules, so many slides,
many of which did not add much
and took quite a bit of time.”
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Phase 2. Managing Data@Melbourne 2016
• Development of new local content
• Streamlining existing content
• Selection of a new delivery platform – (University of Melbourne
learning management system (LMS)
• Learning design…
– Pause & reflection
– Adult learning
– Researcher-centered and directly aligned to research practice
– Practical
Native Traffic Island CC-By: Ben Kreunen https://flic.kr/p/8EYtf3
Rebranded as Managing Data @ Melbourne
Spring Flowers, University Square CC-By: Ben Kreunen https://flic.kr/p/z4LBWL
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Reduced number of modules
Research Data
Explained
Research Data
Management
Plans
Organising
Research Data
File Formats &
Transformations
Documentation
Metadata &
Citation
Storage &
Security
Data Protection
Privacy & Rights
Sharing
Preservation &
Licensing
Reduced number of modules
Getting Started
with Research
Data
Developing your
Data
Management
Plan
Organising,
Storing and
Backing up your
Data
Describing and
Documenting
your Data
Ethics and Legal
Issues
Sharingand
Preserving your
Data
Engineering Tower CC-By: Ben Kreunen https://flic.kr/p/aGHcYz
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Link to DMPonline
During each module researchers complete part of their data management plan
Reinforcing what they’ve just learnt
Provides a concrete output from the training
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Next steps
Managing Data @ Melbourne
• Pilot the new program
• Integrate with existing curricula and induction programs.
• Communication strategy and activities for currently enrolled graduate researchers
DMPonline
• Become business as usual tool for RDM
• Integrate into research management systems
The Spot and Law, The University of Melbourne CC-By: Ben Kreunen https://flic.kr/p/a4mnT9
Acknowledgements
• Dr Leo Konstantelos
• Anna Shadbolt
• Ben Cleary
• Mark Shepheard
• Satu Alakangas
• Kathryn Lindsay
• Susan Batour
• Learning Environments
• Nick Smale
• Donna McRostie
• Dr Andy Tseng
• Dr Daniel Barr
• Helen Philip-Tchepikov
• Dr Mark Fallu
• Jared Winton
• ANDS
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