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PRESENTED BY
Research Data Management – an
Australian perspective
Responsible Research Data Management Workshop – RMIT –
18-25.03.19
Richard Ferrers, Research Data Specialist, ARDC
NSF: “Harnessing the data revolution” (Feb ’19)
https://www.nsf.gov/news/special_reports/big_ideas
/harnessing.jsp
Royal Society: “huge deluge of data… potential to
create a second open science revolution”
Science as an Open Enterprise – Report 2012
https://royalsociety.org/topics-
policy/projects/science-public-enterprise/report/
1.Who is ARDC? Our background Our approach to RDM
2.Discipline Case Study – Research Data Australia – CAUSEE
3.National / int’l landscape of RDM tools and resources
4.Current topics in data mgmt; FAIR, trust, sensitive data – how
5.How can RDM contribute to rsch impact /excellence – why
4
Outline
1.Who is ARDC?
5ardc.edu.au
2.CAUSEE – a case of managing data
6ardc.edu.au
3.Tools and resources; National, International
7ardc.edu.au
3.1 Paul Romer, Nobel Prize Economics 2018
“Jupyter is a new open-source alternative that is
well on the way to becoming a standard for
exchanging research results…Jupyter rewards
transparency…I’m more productive. I’m having
fun…” Blog 2018
https://paulromer.net/jupyter-mathematica-and-
the-future-of-the-research-paper/index.html
FAIR =
Findable
Accessible
Interoperable
Reuseable
Other topics: trusted data,
sensitive data
9
4.Current topics in RDM
– FAIR Data
10
4.1 Research Data Landscape at RMIT
http://rmit.libguides.com/researchdata
What is RDM for RMIT?
Store
Describe
People
Training
Governance
11
4.2 Library RDM training
Oct 2018
https://sites.rmit.edu.au/libraryresearcherweek/rmit-researcher-week-2/program/
How to make a researcher’s impact measureable? Case Study
| Data v Citations
Why manage your data? Easier, longer life, set it and forget
it, enable reuse (OpenWage)
Why publish your data? Funders (COPDESS), Journals,
more citations, government policy, Open Research Melb
5. Data supports impact and excellence
12
Store / Describe my data
Figshare: Google Ferrers Figshare
https://figshare.com/authors/Richard
_Ferrers/401493
Tools over data
Observable – what is the value of the
NBN? (Ferrers 2018)
Beta.observablehq.com
Data Visualisation – Valuing FTTN and
FTTP (Ferrers 2016)
Promote my data
Twitter – measure impact
Impact Story – count impact
Talk about my research and data:
valman.blogspot.com
13
5.1 Researcher Demo
CONTACT
Level 1, Monash Caulfield (Building T)
Melbourne VIC 3164
AUSTRALIA
+61 3 9902 0569
richard.ferrers@ardc.edu.au
ardc.edu.au
These slides are CC-BY.
More on how and why to manage data:
https://www.slideshare.net/RichardFerrers/presentations
ANDS Presentations on Managing Data:
https://www.ands.org.au/news-and-events/presentations/2018

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Responsible Research Data Management - RMIT - Mar 19

  • 1. PRESENTED BY Research Data Management – an Australian perspective Responsible Research Data Management Workshop – RMIT – 18-25.03.19 Richard Ferrers, Research Data Specialist, ARDC
  • 2. NSF: “Harnessing the data revolution” (Feb ’19) https://www.nsf.gov/news/special_reports/big_ideas /harnessing.jsp Royal Society: “huge deluge of data… potential to create a second open science revolution” Science as an Open Enterprise – Report 2012 https://royalsociety.org/topics- policy/projects/science-public-enterprise/report/
  • 3.
  • 4. 1.Who is ARDC? Our background Our approach to RDM 2.Discipline Case Study – Research Data Australia – CAUSEE 3.National / int’l landscape of RDM tools and resources 4.Current topics in data mgmt; FAIR, trust, sensitive data – how 5.How can RDM contribute to rsch impact /excellence – why 4 Outline
  • 6. 2.CAUSEE – a case of managing data 6ardc.edu.au
  • 7. 3.Tools and resources; National, International 7ardc.edu.au
  • 8. 3.1 Paul Romer, Nobel Prize Economics 2018 “Jupyter is a new open-source alternative that is well on the way to becoming a standard for exchanging research results…Jupyter rewards transparency…I’m more productive. I’m having fun…” Blog 2018 https://paulromer.net/jupyter-mathematica-and- the-future-of-the-research-paper/index.html
  • 9. FAIR = Findable Accessible Interoperable Reuseable Other topics: trusted data, sensitive data 9 4.Current topics in RDM – FAIR Data
  • 10. 10 4.1 Research Data Landscape at RMIT http://rmit.libguides.com/researchdata
  • 11. What is RDM for RMIT? Store Describe People Training Governance 11 4.2 Library RDM training Oct 2018 https://sites.rmit.edu.au/libraryresearcherweek/rmit-researcher-week-2/program/
  • 12. How to make a researcher’s impact measureable? Case Study | Data v Citations Why manage your data? Easier, longer life, set it and forget it, enable reuse (OpenWage) Why publish your data? Funders (COPDESS), Journals, more citations, government policy, Open Research Melb 5. Data supports impact and excellence 12
  • 13. Store / Describe my data Figshare: Google Ferrers Figshare https://figshare.com/authors/Richard _Ferrers/401493 Tools over data Observable – what is the value of the NBN? (Ferrers 2018) Beta.observablehq.com Data Visualisation – Valuing FTTN and FTTP (Ferrers 2016) Promote my data Twitter – measure impact Impact Story – count impact Talk about my research and data: valman.blogspot.com 13 5.1 Researcher Demo
  • 14. CONTACT Level 1, Monash Caulfield (Building T) Melbourne VIC 3164 AUSTRALIA +61 3 9902 0569 richard.ferrers@ardc.edu.au ardc.edu.au These slides are CC-BY. More on how and why to manage data: https://www.slideshare.net/RichardFerrers/presentations ANDS Presentations on Managing Data: https://www.ands.org.au/news-and-events/presentations/2018