SlideShare a Scribd company logo
1 of 28
“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

More Related Content

What's hot

Developing a Data Management Plan
Developing a Data Management PlanDeveloping a Data Management Plan
Developing a Data Management PlanMartin Donnelly
 
Building Confidence: Training Librarians in Research Data Management
Building Confidence: Training Librarians in Research Data ManagementBuilding Confidence: Training Librarians in Research Data Management
Building Confidence: Training Librarians in Research Data ManagementRobin Rice
 
University of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyondUniversity of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyondRobin Rice
 
H2020 Open Data Pilot
H2020 Open Data PilotH2020 Open Data Pilot
H2020 Open Data PilotSarah Jones
 
Horizon 2020 and the open research data pilot
Horizon 2020 and the open research data pilotHorizon 2020 and the open research data pilot
Horizon 2020 and the open research data pilotSarah Jones
 
The SSS as an Infrastructure for WP LA
The SSS as an Infrastructure for WP LAThe SSS as an Infrastructure for WP LA
The SSS as an Infrastructure for WP LADominik Kowald
 
EPSRC research data expectations and research software management
EPSRC research data expectations and research software managementEPSRC research data expectations and research software management
EPSRC research data expectations and research software managementHistoric Environment Scotland
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilotSarah Jones
 
IASSIST40: Data management & curation workshop
IASSIST40: Data management & curation workshopIASSIST40: Data management & curation workshop
IASSIST40: Data management & curation workshopRobin Rice
 
Funder requirements for Data Management Plans
Funder requirements for Data Management PlansFunder requirements for Data Management Plans
Funder requirements for Data Management PlansSherry Lake
 
Open Repositories and Interoperability Challenges in UK
Open Repositories and Interoperability Challenges in UKOpen Repositories and Interoperability Challenges in UK
Open Repositories and Interoperability Challenges in UKEDINA, University of Edinburgh
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Robin Rice
 
Research Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyResearch Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyRobin Rice
 
Research Data Management Initiatives at the University of Edinburgh
Research Data Management Initiatives at the University of EdinburghResearch Data Management Initiatives at the University of Edinburgh
Research Data Management Initiatives at the University of EdinburghRobin Rice
 
Managing and sharing data
Managing and sharing dataManaging and sharing data
Managing and sharing dataSarah Jones
 

What's hot (20)

Research Data Management Roadmap@Edinburgh
Research Data Management Roadmap@EdinburghResearch Data Management Roadmap@Edinburgh
Research Data Management Roadmap@Edinburgh
 
Developing a Data Management Plan
Developing a Data Management PlanDeveloping a Data Management Plan
Developing a Data Management Plan
 
Building Confidence: Training Librarians in Research Data Management
Building Confidence: Training Librarians in Research Data ManagementBuilding Confidence: Training Librarians in Research Data Management
Building Confidence: Training Librarians in Research Data Management
 
University of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyondUniversity of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyond
 
RDM @ UoE
RDM @ UoERDM @ UoE
RDM @ UoE
 
H2020 Open Data Pilot
H2020 Open Data PilotH2020 Open Data Pilot
H2020 Open Data Pilot
 
Horizon 2020 and the open research data pilot
Horizon 2020 and the open research data pilotHorizon 2020 and the open research data pilot
Horizon 2020 and the open research data pilot
 
The SSS as an Infrastructure for WP LA
The SSS as an Infrastructure for WP LAThe SSS as an Infrastructure for WP LA
The SSS as an Infrastructure for WP LA
 
EPSRC research data expectations and research software management
EPSRC research data expectations and research software managementEPSRC research data expectations and research software management
EPSRC research data expectations and research software management
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilot
 
IASSIST40: Data management & curation workshop
IASSIST40: Data management & curation workshopIASSIST40: Data management & curation workshop
IASSIST40: Data management & curation workshop
 
What's So Special about the Social Sciences
What's So Special about the Social SciencesWhat's So Special about the Social Sciences
What's So Special about the Social Sciences
 
Funder requirements for Data Management Plans
Funder requirements for Data Management PlansFunder requirements for Data Management Plans
Funder requirements for Data Management Plans
 
Open Repositories and Interoperability Challenges in UK
Open Repositories and Interoperability Challenges in UKOpen Repositories and Interoperability Challenges in UK
Open Repositories and Interoperability Challenges in UK
 
Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...Services, policy, guidance and training: Improving research data management a...
Services, policy, guidance and training: Improving research data management a...
 
Research Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyResearch Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional Policy
 
Roles & Skills for RDM
Roles & Skills for RDMRoles & Skills for RDM
Roles & Skills for RDM
 
Research Data Management Initiatives at the University of Edinburgh
Research Data Management Initiatives at the University of EdinburghResearch Data Management Initiatives at the University of Edinburgh
Research Data Management Initiatives at the University of Edinburgh
 
Introduction to RDM for trainee physicians
Introduction to RDM for trainee physiciansIntroduction to RDM for trainee physicians
Introduction to RDM for trainee physicians
 
Managing and sharing data
Managing and sharing dataManaging and sharing data
Managing and sharing data
 

Viewers also liked

PLA presentation 2016 adding value
PLA presentation 2016 adding valuePLA presentation 2016 adding value
PLA presentation 2016 adding valueJoe Matthews
 
Library intelligence notes
Library intelligence notesLibrary intelligence notes
Library intelligence notesJoe Matthews
 
Joseph Matthews assumptions librarians make
Joseph Matthews assumptions librarians makeJoseph Matthews assumptions librarians make
Joseph Matthews assumptions librarians makeJoe Matthews
 
Essentials 4 Data Support
Essentials 4 Data Support Essentials 4 Data Support
Essentials 4 Data Support Ellen Verbakel
 
Sla san diego 2015 joseph r. matthews
Sla san diego 2015 joseph r. matthewsSla san diego 2015 joseph r. matthews
Sla san diego 2015 joseph r. matthewsJoe Matthews
 
Adding Value: The Key to the Future Joseph Matthews
Adding Value:The Key to the Future Joseph MatthewsAdding Value:The Key to the Future Joseph Matthews
Adding Value: The Key to the Future Joseph MatthewsJoe Matthews
 
Good Business Intelligence Evolution: Designing Library Instruction Programs ...
Good Business Intelligence Evolution: Designing Library Instruction Programs ...Good Business Intelligence Evolution: Designing Library Instruction Programs ...
Good Business Intelligence Evolution: Designing Library Instruction Programs ...Western Illinois University
 

Viewers also liked (8)

PLA presentation 2016 adding value
PLA presentation 2016 adding valuePLA presentation 2016 adding value
PLA presentation 2016 adding value
 
Library intelligence notes
Library intelligence notesLibrary intelligence notes
Library intelligence notes
 
Joseph Matthews assumptions librarians make
Joseph Matthews assumptions librarians makeJoseph Matthews assumptions librarians make
Joseph Matthews assumptions librarians make
 
Essentials 4 Data Support
Essentials 4 Data Support Essentials 4 Data Support
Essentials 4 Data Support
 
Sla san diego 2015 joseph r. matthews
Sla san diego 2015 joseph r. matthewsSla san diego 2015 joseph r. matthews
Sla san diego 2015 joseph r. matthews
 
Adding Value: The Key to the Future Joseph Matthews
Adding Value:The Key to the Future Joseph MatthewsAdding Value:The Key to the Future Joseph Matthews
Adding Value: The Key to the Future Joseph Matthews
 
Good Business Intelligence Evolution: Designing Library Instruction Programs ...
Good Business Intelligence Evolution: Designing Library Instruction Programs ...Good Business Intelligence Evolution: Designing Library Instruction Programs ...
Good Business Intelligence Evolution: Designing Library Instruction Programs ...
 
SAP BI 7.0 Info Providers
SAP BI 7.0 Info ProvidersSAP BI 7.0 Info Providers
SAP BI 7.0 Info Providers
 

Similar to 3TU.Datacentrum and Data intelligence training for library staff

Data-Intelligence Training for Library Staff
Data-Intelligence Training for Library StaffData-Intelligence Training for Library Staff
Data-Intelligence Training for Library StaffDigCurV
 
RDM for Librarians
RDM for LibrariansRDM for Librarians
RDM for LibrariansMarieke Guy
 
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATAMINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATAMartin Ebner
 
University of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyondUniversity of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyondLIBER Europe
 
Laying the Foundation: Establishing an institutional RDM Support Service for ...
Laying the Foundation: Establishing an institutional RDM Support Service for ...Laying the Foundation: Establishing an institutional RDM Support Service for ...
Laying the Foundation: Establishing an institutional RDM Support Service for ...GarethKnight
 
Data Management Planning for Engineers
Data Management Planning for EngineersData Management Planning for Engineers
Data Management Planning for EngineersSherry Lake
 
Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...Keith Webster
 
MOVING presentation at JSI
MOVING presentation at JSIMOVING presentation at JSI
MOVING presentation at JSIMOVING Project
 
Research Data Services @ Edinburgh: MANTRA & Edinburgh DataShare
Research Data Services @ Edinburgh: MANTRA & Edinburgh DataShareResearch Data Services @ Edinburgh: MANTRA & Edinburgh DataShare
Research Data Services @ Edinburgh: MANTRA & Edinburgh DataShareHistoric Environment Scotland
 
RDM tools and tips
RDM tools and tipsRDM tools and tips
RDM tools and tipsSarah Jones
 
Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011heila1
 
RDM Roadmap to the Future, or: Lords and Ladies of the Data
RDM Roadmap to the Future, or: Lords and Ladies of the DataRDM Roadmap to the Future, or: Lords and Ladies of the Data
RDM Roadmap to the Future, or: Lords and Ladies of the DataRobin Rice
 
The ELIXIR UK training portal (TeSS) by Carole Goble
The ELIXIR UK training portal (TeSS) by Carole GobleThe ELIXIR UK training portal (TeSS) by Carole Goble
The ELIXIR UK training portal (TeSS) by Carole GobleELIXIR UK
 
Essentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data SupportEssentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data SupportEllen Verbakel
 
Strategic Developments in Digital Initiatives at Academic Libraries
Strategic Developments in Digital Initiatives at Academic LibrariesStrategic Developments in Digital Initiatives at Academic Libraries
Strategic Developments in Digital Initiatives at Academic LibrariesHong (Jenny) Jing
 
Intro to Data Management Plans
Intro to Data Management PlansIntro to Data Management Plans
Intro to Data Management PlansSarah Jones
 

Similar to 3TU.Datacentrum and Data intelligence training for library staff (20)

Data-Intelligence Training for Library Staff
Data-Intelligence Training for Library StaffData-Intelligence Training for Library Staff
Data-Intelligence Training for Library Staff
 
RDM for Librarians
RDM for LibrariansRDM for Librarians
RDM for Librarians
 
Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...
Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...
Introduction to Research Data Management - 2017-02-15 - MPLS Division, Univer...
 
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATAMINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATA
 
Introduction to Research Data Management
Introduction to Research Data ManagementIntroduction to Research Data Management
Introduction to Research Data Management
 
University of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyondUniversity of Edinburgh RDM Training: MANTRA & beyond
University of Edinburgh RDM Training: MANTRA & beyond
 
Laying the Foundation: Establishing an institutional RDM Support Service for ...
Laying the Foundation: Establishing an institutional RDM Support Service for ...Laying the Foundation: Establishing an institutional RDM Support Service for ...
Laying the Foundation: Establishing an institutional RDM Support Service for ...
 
Data Management Planning for Engineers
Data Management Planning for EngineersData Management Planning for Engineers
Data Management Planning for Engineers
 
Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...Immersive informatics - research data management at Pitt iSchool and Carnegie...
Immersive informatics - research data management at Pitt iSchool and Carnegie...
 
MOVING presentation at JSI
MOVING presentation at JSIMOVING presentation at JSI
MOVING presentation at JSI
 
Research Data Services @ Edinburgh: MANTRA & Edinburgh DataShare
Research Data Services @ Edinburgh: MANTRA & Edinburgh DataShareResearch Data Services @ Edinburgh: MANTRA & Edinburgh DataShare
Research Data Services @ Edinburgh: MANTRA & Edinburgh DataShare
 
RDM tools and tips
RDM tools and tipsRDM tools and tips
RDM tools and tips
 
Johnston - How to Curate Research Data
Johnston - How to Curate Research DataJohnston - How to Curate Research Data
Johnston - How to Curate Research Data
 
Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011Survey of research data management practices up2010digschol2011
Survey of research data management practices up2010digschol2011
 
RDM Roadmap to the Future, or: Lords and Ladies of the Data
RDM Roadmap to the Future, or: Lords and Ladies of the DataRDM Roadmap to the Future, or: Lords and Ladies of the Data
RDM Roadmap to the Future, or: Lords and Ladies of the Data
 
Managing your research data
Managing your research dataManaging your research data
Managing your research data
 
The ELIXIR UK training portal (TeSS) by Carole Goble
The ELIXIR UK training portal (TeSS) by Carole GobleThe ELIXIR UK training portal (TeSS) by Carole Goble
The ELIXIR UK training portal (TeSS) by Carole Goble
 
Essentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data SupportEssentials 4 Data Support: a fine course in FAIR Data Support
Essentials 4 Data Support: a fine course in FAIR Data Support
 
Strategic Developments in Digital Initiatives at Academic Libraries
Strategic Developments in Digital Initiatives at Academic LibrariesStrategic Developments in Digital Initiatives at Academic Libraries
Strategic Developments in Digital Initiatives at Academic Libraries
 
Intro to Data Management Plans
Intro to Data Management PlansIntro to Data Management Plans
Intro to Data Management Plans
 

Recently uploaded

Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsKarinaGenton
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 

Recently uploaded (20)

Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
Science 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its CharacteristicsScience 7 - LAND and SEA BREEZE and its Characteristics
Science 7 - LAND and SEA BREEZE and its Characteristics
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 

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