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DELIVERING POSTGRADUATE
TRAINING - MANTRA
IDCCWorkshop, Bristol
5 December,2011
Robin Rice
University of Edinburgh
Data Library &
consultancy
Edinburgh DataShare
JISC-funded projects
DISC-UK DataShare (2007-
2009)
DataAudit Framework
Implementation (2008)
Research Data MANTRA
(2010-2011)
Context: Data Library services and projects
2
Research Data Management
Training (MANTRA)
Aims to:
Raise awareness of the key issues related
to data management
Provide guidelines for good practice in
research data management
Contribute to long-term culture change
in data management and sharing
practice.
MANTRA in JISC Training
Strand of JISC MRD Programme
Creation of open online learning
materials in RDM for postgrads
and early career researchers
Grounded in three disciplines,
working with graduate schools
Video stories from researchers
in variety of settings
Data handling exercises in four
data analysis environments: R,
SPSS, NVIVO and ArcGIS
4
.ash on flickr (CC-BY-ND)
Online learning module
Eight units with activities (quizzes), scenarios and videos:
Research data explained
Data management plans
Organising data
File formats & transformation
Documentation & metadata
Storage & security
Data protection, rights and access
Preservation, sharing and licensing
Plus Recommended Resources for each topic
Clips from video interviews embedded in units
Data handling software
practicals
SPSS – by Joan Corbett, SCOTCEN, National
Centre for Social Research Methods
R – by Dr. Duncan Smallman
NVivo – Dr. Aikaterini Chatsiou (UK Data Archive)
ArcGIS – by James Crone, EDINA
Grounded in needs assessment and feedback
from the 3 graduate programmes
Download PDF exercises and datasets,
work at your own pace
Selling Research Data Mgmt as a
Transferrable Skill
The FRUIT principles:
Fun
Relevant
Useful
Interactive
Timely
Green Apple by Image Editor, flickr
CC-BY 2.0
Definition of Open
Educational Resources:
“…teaching, learning, and
research resources that
reside in the public domain or
have been released under an
intellectual property licence
that permits their free use or
re-purposing by others” *
* Atkins, D.E., Brown, J.S., & Hammond,A.L. (2007).A Review of the Open Educational Resources (OER)
Movement: Achievements,Challenges, and newOpportunities. Menlo Park,CA:TheWilliam & Flora Hewlett
Foundation
•MANTRA used a Creative
CommonsAttribution license
•Allows very open sharing
• Limits secondary materials we
can re-use
Which CC license to use?
OER
Authoring tool
Xerte OnlineToolkits by University of Nottingham
Open source eLearning authoring tool
Server-based suite of tools for content authors
No programming required
Uses simple page templates and wizards to
incorporate all kinds of content
Content authors can easily collaborate on projects
Produces SCORM 1.2 complaint output
Critical success factors
1.The commitment of
academic staff to the
project
2. Positive feedback from
user testing
3. Increased advocacy and
awareness of research
data management best
practice across the
University.
4. Evidence that the course
is useful and used in
other contexts outwith
the University of
Edinburgh.
Curlew, Mikebaird on flickr
Links
MANTRA course
http://datalib.edina.ac.uk/mantra
Xerte OnlineToolkits
http://www.nottingham.ac.uk/xerte/toolkits.htm
R.Rice at ed.ac.uk

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Delivering Postgraduate Training - MANTRA

  • 1. DELIVERING POSTGRADUATE TRAINING - MANTRA IDCCWorkshop, Bristol 5 December,2011 Robin Rice University of Edinburgh
  • 2. Data Library & consultancy Edinburgh DataShare JISC-funded projects DISC-UK DataShare (2007- 2009) DataAudit Framework Implementation (2008) Research Data MANTRA (2010-2011) Context: Data Library services and projects 2
  • 3. Research Data Management Training (MANTRA) Aims to: Raise awareness of the key issues related to data management Provide guidelines for good practice in research data management Contribute to long-term culture change in data management and sharing practice.
  • 4. MANTRA in JISC Training Strand of JISC MRD Programme Creation of open online learning materials in RDM for postgrads and early career researchers Grounded in three disciplines, working with graduate schools Video stories from researchers in variety of settings Data handling exercises in four data analysis environments: R, SPSS, NVIVO and ArcGIS 4 .ash on flickr (CC-BY-ND)
  • 5. Online learning module Eight units with activities (quizzes), scenarios and videos: Research data explained Data management plans Organising data File formats & transformation Documentation & metadata Storage & security Data protection, rights and access Preservation, sharing and licensing Plus Recommended Resources for each topic Clips from video interviews embedded in units
  • 6. Data handling software practicals SPSS – by Joan Corbett, SCOTCEN, National Centre for Social Research Methods R – by Dr. Duncan Smallman NVivo – Dr. Aikaterini Chatsiou (UK Data Archive) ArcGIS – by James Crone, EDINA Grounded in needs assessment and feedback from the 3 graduate programmes Download PDF exercises and datasets, work at your own pace
  • 7. Selling Research Data Mgmt as a Transferrable Skill The FRUIT principles: Fun Relevant Useful Interactive Timely Green Apple by Image Editor, flickr CC-BY 2.0
  • 8. Definition of Open Educational Resources: “…teaching, learning, and research resources that reside in the public domain or have been released under an intellectual property licence that permits their free use or re-purposing by others” * * Atkins, D.E., Brown, J.S., & Hammond,A.L. (2007).A Review of the Open Educational Resources (OER) Movement: Achievements,Challenges, and newOpportunities. Menlo Park,CA:TheWilliam & Flora Hewlett Foundation •MANTRA used a Creative CommonsAttribution license •Allows very open sharing • Limits secondary materials we can re-use Which CC license to use? OER
  • 9. Authoring tool Xerte OnlineToolkits by University of Nottingham Open source eLearning authoring tool Server-based suite of tools for content authors No programming required Uses simple page templates and wizards to incorporate all kinds of content Content authors can easily collaborate on projects Produces SCORM 1.2 complaint output
  • 10. Critical success factors 1.The commitment of academic staff to the project 2. Positive feedback from user testing 3. Increased advocacy and awareness of research data management best practice across the University. 4. Evidence that the course is useful and used in other contexts outwith the University of Edinburgh. Curlew, Mikebaird on flickr