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“3TU.datacentrum and Data
intelligence training for library
staff”
Ellen Verbakel
Contents
- Introduction to 3TU.Datacentrum
1) Data archive
2) Datalabs
3) Services
- Data Intelligence 4 Library Staff
1) Investigation of the training needs
2) Design of the course (modules)
3) Development of training materials
4) Findings/future developments
- Show Cases
4 Researchers
Image retrieved from:
nl.123rf.com
Introduction
3TU.Datacentrum
• Data archive
• Data labs
• Data services
Data services
Data Intelligence 4 Librarians
• Focus on support staff, particularly librarians
• Supports library’s mission to be a partner in
research:
Data intelligence 4 librarians want to
contribute to the professionalization and
positioning of support staff as a trusted partner
in the support of data-intensive research
Process
3 phases:
• Investigation of the training needs
• Design of the course
• Development of the training materials
Image retrieved from:
http://e3contentstrategy.blogspot.nl/2010/10/content-strategy-in-
6-crazy-simple.html
Phase 1: Investigation of the training needs
• Information sessions with library staff of 3TU
Need for: technical skills and soft skills
Image retrieved from:
new-business-leads.blogspot.com
Phase 2: Design of the course
Competence-based modular course, combining online
and face-to-face tuition (blended learning)
Image retrieved from: koppertsol.nl
7 core competences defined:
• Handles ICT skilfully
• Has specific library knowledge
• Develops entrepreneurship
• Develops a systemic view
• Develops advisory skills
• Develops collaboration skills
• Develops training materials
Image retrieved from: nl.123rf.com
4 modules:
1. Current topics
2. Data management
3. Technical skills
4. Acquisition & Advice
Module 1: Current topics
Main goal: gain understanding about the current
developments in the working field of the data
librarian who is supporting researchers in their
research data management.
Do it together!
Image retrieved from: jblog.fr
Module 2: Data management
Main goal: learn to advise researchers on ways to
prepare research data for storage and (re)use.
- research process
- data life cycle
- data management plan
- data selection
- data formats
- metadata
- data policy
- data and the law
Image retrieved from: monstaware.blogspot.com
Module 3: Technical skills
Main goal: learn more about ways research data
can be archived and (re)used.
- citing data
- digital objects
- data processing
- enhanced publications
- data labs
Image retrieved from:
support.businesswebsite.com
Module 4: Acquisition and advise
Main goal: gain insight into the factors which
positively influence the quality of acquisition or
advice
- from acquisition to advice
- phases in acquisition
- Stages of change
- Arguments
- On conversations
- Barriers
- Data interview
- Cases
Image retrieved from: keenetrial.com
Phase 3: Development of training materials
- content of the website
- images
- homework assignments & role plays
Image retrieved from: alefbookstores.com
website
images
Findings
Main findings/issues:
- participants appreciated the discussions
- participants were interested to hear from researchers
themselves how they deal with data management issues
- participants would have liked more actual use cases
- participants urgently needed practical information about setting
up a front office for data management services
- participants liked the invited teachers
- participants appreciated the images included in the course
material on the website
- participants did not like to work with Google+
Conclusions
- The development of the course was a leap into the unknown
as no similar courses existed in The Netherlands or abroad at
that time.
- Our pragmatic approach of just getting started has paid off.
Participants while appreciating the course as a whole, have
indicated some shortcomings, thereby enabling improvements.
Image retrieved from:
s3.amazonaws.com
Cooperation with
• Extension of the course to other disciplines
• Learning materials are expanded
• DANS provides one of the coaches, making it a
truly joint undertaking
Image retrieved from: noahpinionblog.blogspot.com
Next steps
- Design of a new, flexible and dynamic learning
environment to make the course more
interactive, collaborative and constructive.
Photograph retrieved from:
http://www.flickr.com/photos/axehd
/5843856565/
Research Data Netherlands
Since 8th of May, 2013: Coalition founded by
3TU.Datacentrum and DANS:
• Combining expertise and resources
• Align procedures and licenses for users
Support for researchers
• Large time series of numerical data from a drizzle
radar
• 3TU.Datacentrum stores and gives access to the
data
• Researcher Tobias Otto: “It has taken some time
to set up the data archiving process and to create
the metadata. But we save that time now by being
able to easily access our data”
• Data from Cryo-Tem, advanced electron-
microscopy techniques
• 3TU.Datacentrum can store large datasets
• “People may use the same datasets for things we
were not looking for, thus generating new science
with the same data”
• Event logs from X-ray machines to enterprise
information systems
• The DOI makes the data easily found and
accessable
• Providing assistants to customize the data
• I think we stand on the threshold of a
development where it is no longer acceptable
to publish papers without making datasets
available
• Majorana Ferminon; bizarre particle because it
represents its own anti-particle and it can also be
used to build quantum computers
• 3TU.Datacentrum accomodates datasets even
though not in the preferred format
• In the world of open science progress will
happen faster
Acknowledgment
Authors of the paper:
• Nicole Potters
• Marina Noordegraaf - www.verbeeldingskr8.nl
• Madeleine de Smaele
• Ellen Verbakel
Image retrieved from: maw-training.nl
Questions
Website: http://dataintelligence.3tu.nl/en/home/
Follow us at Twitter via @datalibrarians
Or contact me: p.m.verbakel@tudelft.nl

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3TU.Datacentrum and Data intelligence training for library staff

  • 1. “3TU.datacentrum and Data intelligence training for library staff” Ellen Verbakel
  • 2. Contents - Introduction to 3TU.Datacentrum 1) Data archive 2) Datalabs 3) Services - Data Intelligence 4 Library Staff 1) Investigation of the training needs 2) Design of the course (modules) 3) Development of training materials 4) Findings/future developments - Show Cases 4 Researchers Image retrieved from: nl.123rf.com
  • 5. • Focus on support staff, particularly librarians • Supports library’s mission to be a partner in research: Data intelligence 4 librarians want to contribute to the professionalization and positioning of support staff as a trusted partner in the support of data-intensive research
  • 6. Process 3 phases: • Investigation of the training needs • Design of the course • Development of the training materials Image retrieved from: http://e3contentstrategy.blogspot.nl/2010/10/content-strategy-in- 6-crazy-simple.html
  • 7. Phase 1: Investigation of the training needs • Information sessions with library staff of 3TU Need for: technical skills and soft skills Image retrieved from: new-business-leads.blogspot.com
  • 8. Phase 2: Design of the course Competence-based modular course, combining online and face-to-face tuition (blended learning) Image retrieved from: koppertsol.nl
  • 9. 7 core competences defined: • Handles ICT skilfully • Has specific library knowledge • Develops entrepreneurship • Develops a systemic view • Develops advisory skills • Develops collaboration skills • Develops training materials Image retrieved from: nl.123rf.com
  • 10. 4 modules: 1. Current topics 2. Data management 3. Technical skills 4. Acquisition & Advice
  • 11. Module 1: Current topics Main goal: gain understanding about the current developments in the working field of the data librarian who is supporting researchers in their research data management. Do it together! Image retrieved from: jblog.fr
  • 12. Module 2: Data management Main goal: learn to advise researchers on ways to prepare research data for storage and (re)use. - research process - data life cycle - data management plan - data selection - data formats - metadata - data policy - data and the law Image retrieved from: monstaware.blogspot.com
  • 13. Module 3: Technical skills Main goal: learn more about ways research data can be archived and (re)used. - citing data - digital objects - data processing - enhanced publications - data labs Image retrieved from: support.businesswebsite.com
  • 14. Module 4: Acquisition and advise Main goal: gain insight into the factors which positively influence the quality of acquisition or advice - from acquisition to advice - phases in acquisition - Stages of change - Arguments - On conversations - Barriers - Data interview - Cases Image retrieved from: keenetrial.com
  • 15. Phase 3: Development of training materials - content of the website - images - homework assignments & role plays Image retrieved from: alefbookstores.com
  • 18. Findings Main findings/issues: - participants appreciated the discussions - participants were interested to hear from researchers themselves how they deal with data management issues - participants would have liked more actual use cases - participants urgently needed practical information about setting up a front office for data management services - participants liked the invited teachers - participants appreciated the images included in the course material on the website - participants did not like to work with Google+
  • 19. Conclusions - The development of the course was a leap into the unknown as no similar courses existed in The Netherlands or abroad at that time. - Our pragmatic approach of just getting started has paid off. Participants while appreciating the course as a whole, have indicated some shortcomings, thereby enabling improvements. Image retrieved from: s3.amazonaws.com
  • 20. Cooperation with • Extension of the course to other disciplines • Learning materials are expanded • DANS provides one of the coaches, making it a truly joint undertaking Image retrieved from: noahpinionblog.blogspot.com
  • 21. Next steps - Design of a new, flexible and dynamic learning environment to make the course more interactive, collaborative and constructive. Photograph retrieved from: http://www.flickr.com/photos/axehd /5843856565/
  • 22. Research Data Netherlands Since 8th of May, 2013: Coalition founded by 3TU.Datacentrum and DANS: • Combining expertise and resources • Align procedures and licenses for users
  • 23. Support for researchers • Large time series of numerical data from a drizzle radar • 3TU.Datacentrum stores and gives access to the data • Researcher Tobias Otto: “It has taken some time to set up the data archiving process and to create the metadata. But we save that time now by being able to easily access our data”
  • 24. • Data from Cryo-Tem, advanced electron- microscopy techniques • 3TU.Datacentrum can store large datasets • “People may use the same datasets for things we were not looking for, thus generating new science with the same data”
  • 25. • Event logs from X-ray machines to enterprise information systems • The DOI makes the data easily found and accessable • Providing assistants to customize the data • I think we stand on the threshold of a development where it is no longer acceptable to publish papers without making datasets available
  • 26. • Majorana Ferminon; bizarre particle because it represents its own anti-particle and it can also be used to build quantum computers • 3TU.Datacentrum accomodates datasets even though not in the preferred format • In the world of open science progress will happen faster
  • 27. Acknowledgment Authors of the paper: • Nicole Potters • Marina Noordegraaf - www.verbeeldingskr8.nl • Madeleine de Smaele • Ellen Verbakel Image retrieved from: maw-training.nl
  • 28. Questions Website: http://dataintelligence.3tu.nl/en/home/ Follow us at Twitter via @datalibrarians Or contact me: p.m.verbakel@tudelft.nl