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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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© Copyright The University of Melbourne 2011