SlideShare a Scribd company logo
1 of 21
Download to read offline
PURDUE UNIVERSITY LIBRARIES
Data Management Services at
7 May 2014
Goh Su Nee
NTU Libraries
Why Purdue University Libraries?
• Study Visit to Purdue University Libraries (3 days) and University of
Illinois at Urbana-Champaign in early Mar 2014 (2 days)
• Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan
2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf
Purdue University Libraries, Press, and
Copyright Office Strategic Plan 2011-2016
3 Key Goals:
• Learning
• Scholarly Communication
• Global Challenges
• Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan
2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf
Purdue University Libraries, Press, and
Copyright Office Strategic Plan 2011-2016
Learning:
“Our learning goal focuses on information
literacy* and learning spaces.”
*Includes:
• digital information literacy
• science literacy
• data literacy
• health literacy, etc.
• Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan
2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf
Purdue University Libraries, Press, and
Copyright Office Strategic Plan 2011-2016
Scholarly Communication:
“Objective #3: Lead in data related scholarship
and initiatives.”
• Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan
2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf
Purdue University Libraries, Press, and
Copyright Office Strategic Plan 2011-2016
Global Challenges :
Objective #1: “Contribute to international
information literacy, learning spaces, data
management, and scholarly communication
initiatives. ”
For the case of Purdue, did data
management work begin with or without
a data management team first?
1 2
0%0%
1. With
2. Without
Purdue University Libraries – How it
began
• Dean of Libraries (James Mullins) talked to 79 departments when
he joined in 2004
• He asked liaison librarians to start talking to researchers about data
management not as a service yet but as research project first
• Re-appointed an existing librarian as the Interdisciplinary Research
Librarian
• Aligning librarian job titles with key university functions eg. IRL
‘renamed’ as Associate Dean for Research; Associate Dean for
Academic Affairs instead of ‘user services’
• Volunteer working group formed soon after
• Data and Management Specialists (‘DAM Group’) formalised in
early 2014
• Associate Dean of Research in the Library (Scott) seconded (half of
his pay from Research Office) half-time to Research Office
Partners for Purdue’s Case
Library
Research
office
IT
department
Sponsored
Programs
Pre-award
Services
Purdue University Libraries – How a liaison
librarian got involved in data management –
Case 1
• Megan (English major)
• Liaison librarian for physical earth sciences, civil
engineering, building construction
• Takes care of 500 faculty members
Purdue University Libraries – How a liaison
librarian got involved in data management –
Case 2
• Megan (English major)
• Liaison librarian for physical earth sciences, civil
engineering, building construction
• Takes care of 500 faculty members
Dean of
Libraries
Associate Dean
for Research &
Assessment
Instruction & Digital
Programs Services
Digital Collection
Services
Digital User Experience
Specialist
Distributed Data
Curation Centre
Director, Purdue
University Press;
Head, Scholarly
Publishing Services
Associate
Dean for
Planning &
Administrati
on
Director of
University
Copyright
Office
Associate Dean
for Academic
Affairs
Collection Mgt
Info Literacy
Resource Services
1st Yr & Emerging
Technologies
Licensing
Archives & Special
Collections
Health & Life Sciences
Humanities, Social Sciences,
Education, Business
Physical Sciences,
Engineering, Technology
Data & Metadata Specialists
W. W.
Booker
Chair in Info
Literacy
University
Archivist
Director,
Strategic
Communic
ation
Purdue University Libraries – Data &
Metadata Group 2014
• The ‘DAM’ Group provides leadership, coordination
and expertise in areas of data management and data
education. We do this by:
– Exploring, planning and designing applications,
methodologies, tools and techniques to improve data
management planning
– Working closely with liaison librarians to promote and
deliver data services, such as using Data Curation Profiles
to assess data workflow
– Coordinating data-related outreach efforts, such as using
PURR for data publishing, with subject liaisons
– Developing courses and instruction related to data
information literacy
Purdue University Libraries
“Research and Data Services provide
support and guidance for:
• description,
• workflow,
• management,
• discovery,
• dissemination and
• preservation of data
throughout the research lifecycle.”
Look at: https://www.lib.purdue.edu/research
At which stage(s) of research are Purdue’s
data management services provided?
1 2 3 4
0% 0%0%0%
1. Preparing
2. During
3. End
4. All of the above
Purdue University Libraries – PURR
• PURR – Purdue University Research
Repository
• Research collaboration and data
management solution for Purdue
researchers and their collaborators
Watch Youtube:
http://www.youtube.com/watch?v=Yw0IJj7FqA8
Purdue University Libraries - PURR
Preparing
• Preparing
for
research
proposals
During
• During a
research
project
End
• At the
end of a
research
project
Purdue University Libraries – PURR
“Sharing the data that supports
your research enables other
scholars to reuse and cite your
data as well as to reproduce your
research.”
Purdue University Libraries – Data
Curation Profile Toolkit
Composed of four documents:
• The User Guide
• The Interviewer’s Manual
• The Interview Worksheet
• The Template
Purdue University Libraries – PURR Repository
Purdue University Libraries – PURR
Repository
• Look at featured dataset: https://purr.purdue.edu/publications/1600

More Related Content

What's hot

RDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management PolicyRDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management PolicyASIS&T
 
Teaching Data Science to Undergraduate Students
Teaching Data Science to Undergraduate StudentsTeaching Data Science to Undergraduate Students
Teaching Data Science to Undergraduate StudentsNicole Vasilevsky
 
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...ASIS&T
 
Curation Service Models - Michael Witt - RDAP12
Curation Service Models - Michael Witt - RDAP12Curation Service Models - Michael Witt - RDAP12
Curation Service Models - Michael Witt - RDAP12ASIS&T
 
RDAP14: Emerging role of UC Libraries in research data management education
RDAP14: Emerging role of UC Libraries in research data management educationRDAP14: Emerging role of UC Libraries in research data management education
RDAP14: Emerging role of UC Libraries in research data management educationASIS&T
 
Tufts Tisch Library's Data Services Group
Tufts Tisch Library's Data Services GroupTufts Tisch Library's Data Services Group
Tufts Tisch Library's Data Services GroupDonna Kafel
 
RDAP 16: Building the Research Data Community of Practice
RDAP 16: Building the Research Data Community of PracticeRDAP 16: Building the Research Data Community of Practice
RDAP 16: Building the Research Data Community of PracticeASIS&T
 
Promoting Open Access and Open Educational Resources to Faculty
Promoting Open Access and Open Educational Resources to FacultyPromoting Open Access and Open Educational Resources to Faculty
Promoting Open Access and Open Educational Resources to FacultyNASIG
 
New Roles for Librarians: The Blended Professional
New Roles for Librarians: The Blended ProfessionalNew Roles for Librarians: The Blended Professional
New Roles for Librarians: The Blended ProfessionalElaine Martin
 
SES grad student presentation
SES grad student presentationSES grad student presentation
SES grad student presentationLynda Kellam
 
ICPSR Data Services
ICPSR Data ServicesICPSR Data Services
ICPSR Data ServicesICPSR
 
Embedded librarian ilsi2011.nina.only
Embedded librarian ilsi2011.nina.onlyEmbedded librarian ilsi2011.nina.only
Embedded librarian ilsi2011.nina.onlyNina Wilson
 
Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...
Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...
Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...Inna Kouper
 
Framing research and researchers
Framing research and researchersFraming research and researchers
Framing research and researchersJo Webb
 
Current Practices around RDM Training in Europe
Current Practices around RDM Training in EuropeCurrent Practices around RDM Training in Europe
Current Practices around RDM Training in EuropeLIBER Europe
 
Research Data Management Training for PHD Students at University of Helsinki
Research Data Management Training for PHD Students at University of HelsinkiResearch Data Management Training for PHD Students at University of Helsinki
Research Data Management Training for PHD Students at University of HelsinkiLIBER Europe
 

What's hot (20)

RDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management PolicyRDAP14: University-wide Research Data Management Policy
RDAP14: University-wide Research Data Management Policy
 
Lee "Supporting Research Data is a Group Effort"
Lee "Supporting Research Data is a Group Effort"Lee "Supporting Research Data is a Group Effort"
Lee "Supporting Research Data is a Group Effort"
 
Teaching Data Science to Undergraduate Students
Teaching Data Science to Undergraduate StudentsTeaching Data Science to Undergraduate Students
Teaching Data Science to Undergraduate Students
 
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
RDAP 16 Lightning: Data Practices and Perspectives of Atmospheric and Enginee...
 
Curation Service Models - Michael Witt - RDAP12
Curation Service Models - Michael Witt - RDAP12Curation Service Models - Michael Witt - RDAP12
Curation Service Models - Michael Witt - RDAP12
 
RDAP14: Emerging role of UC Libraries in research data management education
RDAP14: Emerging role of UC Libraries in research data management educationRDAP14: Emerging role of UC Libraries in research data management education
RDAP14: Emerging role of UC Libraries in research data management education
 
Liaison panelrdap2016
Liaison panelrdap2016Liaison panelrdap2016
Liaison panelrdap2016
 
Tufts Tisch Library's Data Services Group
Tufts Tisch Library's Data Services GroupTufts Tisch Library's Data Services Group
Tufts Tisch Library's Data Services Group
 
RDAP 16: Building the Research Data Community of Practice
RDAP 16: Building the Research Data Community of PracticeRDAP 16: Building the Research Data Community of Practice
RDAP 16: Building the Research Data Community of Practice
 
Promoting Open Access and Open Educational Resources to Faculty
Promoting Open Access and Open Educational Resources to FacultyPromoting Open Access and Open Educational Resources to Faculty
Promoting Open Access and Open Educational Resources to Faculty
 
New Roles for Librarians: The Blended Professional
New Roles for Librarians: The Blended ProfessionalNew Roles for Librarians: The Blended Professional
New Roles for Librarians: The Blended Professional
 
SES grad student presentation
SES grad student presentationSES grad student presentation
SES grad student presentation
 
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
NISO Virtual Conference Scientific Data Management: Caring for Your Instituti...
 
ICPSR Data Services
ICPSR Data ServicesICPSR Data Services
ICPSR Data Services
 
Embedded librarian ilsi2011.nina.only
Embedded librarian ilsi2011.nina.onlyEmbedded librarian ilsi2011.nina.only
Embedded librarian ilsi2011.nina.only
 
Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...
Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...
Building a Community for Research Data Services: CLIR/DLF E-Research Peer Net...
 
Framing research and researchers
Framing research and researchersFraming research and researchers
Framing research and researchers
 
Emery - Buying Openly - NISO Sept 7
Emery - Buying Openly - NISO Sept 7Emery - Buying Openly - NISO Sept 7
Emery - Buying Openly - NISO Sept 7
 
Current Practices around RDM Training in Europe
Current Practices around RDM Training in EuropeCurrent Practices around RDM Training in Europe
Current Practices around RDM Training in Europe
 
Research Data Management Training for PHD Students at University of Helsinki
Research Data Management Training for PHD Students at University of HelsinkiResearch Data Management Training for PHD Students at University of Helsinki
Research Data Management Training for PHD Students at University of Helsinki
 

Viewers also liked

A crisis de 1929 y la gran depresión
A crisis de 1929 y la gran depresiónA crisis de 1929 y la gran depresión
A crisis de 1929 y la gran depresiónMarcela Ramos
 
What are Data?
What are Data?What are Data?
What are Data?ntunmg
 
Copyright for Librarians
Copyright for LibrariansCopyright for Librarians
Copyright for Librariansntunmg
 
E-books Mobility
E-books MobilityE-books Mobility
E-books Mobilityntunmg
 
From vague objectives to focused outcomes
From vague objectives to focused outcomesFrom vague objectives to focused outcomes
From vague objectives to focused outcomesntunmg
 
Let's Network
Let's NetworkLet's Network
Let's Networkntunmg
 
Research Data Overview
Research Data OverviewResearch Data Overview
Research Data Overviewntunmg
 
Scholarly impact metrics traditions
Scholarly impact metrics traditionsScholarly impact metrics traditions
Scholarly impact metrics traditionsntunmg
 

Viewers also liked (8)

A crisis de 1929 y la gran depresión
A crisis de 1929 y la gran depresiónA crisis de 1929 y la gran depresión
A crisis de 1929 y la gran depresión
 
What are Data?
What are Data?What are Data?
What are Data?
 
Copyright for Librarians
Copyright for LibrariansCopyright for Librarians
Copyright for Librarians
 
E-books Mobility
E-books MobilityE-books Mobility
E-books Mobility
 
From vague objectives to focused outcomes
From vague objectives to focused outcomesFrom vague objectives to focused outcomes
From vague objectives to focused outcomes
 
Let's Network
Let's NetworkLet's Network
Let's Network
 
Research Data Overview
Research Data OverviewResearch Data Overview
Research Data Overview
 
Scholarly impact metrics traditions
Scholarly impact metrics traditionsScholarly impact metrics traditions
Scholarly impact metrics traditions
 

Similar to Data Management – A Case Study

What are we doing about data? Emerging roles in data librarianship and Tales ...
What are we doing about data? Emerging roles in data librarianship and Tales ...What are we doing about data? Emerging roles in data librarianship and Tales ...
What are we doing about data? Emerging roles in data librarianship and Tales ...Donna Kafel
 
Research Data and the Role of University Libraries
Research Data and the Role of University LibrariesResearch Data and the Role of University Libraries
Research Data and the Role of University LibrariesJohn P. Murtagh
 
Supporting the development of a national Research Data Discovery Service – a ...
Supporting the development of a national Research Data Discovery Service – a ...Supporting the development of a national Research Data Discovery Service – a ...
Supporting the development of a national Research Data Discovery Service – a ...EDINA, University of Edinburgh
 
Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Historic Environment Scotland
 
RDAP 16: Engaging Liaisons
RDAP 16: Engaging LiaisonsRDAP 16: Engaging Liaisons
RDAP 16: Engaging LiaisonsASIS&T
 
Open data and research data management at the University of Edinburgh: polici...
Open data and research data management at the University of Edinburgh: polici...Open data and research data management at the University of Edinburgh: polici...
Open data and research data management at the University of Edinburgh: polici...Robin Rice
 
Antony Brewerton "Supporting research: new opportunities for 'subject librari...
Antony Brewerton "Supporting research: new opportunities for 'subject librari...Antony Brewerton "Supporting research: new opportunities for 'subject librari...
Antony Brewerton "Supporting research: new opportunities for 'subject librari...SALCTG
 
RDAP 15: Research Data Integration in the Purdue Libraries
RDAP 15: Research Data Integration in the Purdue LibrariesRDAP 15: Research Data Integration in the Purdue Libraries
RDAP 15: Research Data Integration in the Purdue LibrariesASIS&T
 
Designing and delivering an international MOOC on Research Data Management an...
Designing and delivering an international MOOC on Research Data Management an...Designing and delivering an international MOOC on Research Data Management an...
Designing and delivering an international MOOC on Research Data Management an...Robin Rice
 
Re tooling for data management-support
Re tooling for data management-supportRe tooling for data management-support
Re tooling for data management-supportSherry Lake
 
Libraries and Research Data Management – What Works? Summary of a Pre-Survey.
Libraries and Research Data Management – What Works? Summary of a Pre-Survey.Libraries and Research Data Management – What Works? Summary of a Pre-Survey.
Libraries and Research Data Management – What Works? Summary of a Pre-Survey.LIBER Europe
 
DMPTool Webinar Environmental Scan
DMPTool Webinar Environmental ScanDMPTool Webinar Environmental Scan
DMPTool Webinar Environmental ScanSherry Lake
 
Going Full Circle: Research Data Management @ University of Pretoria
Going Full Circle: Research Data Management @ University of PretoriaGoing Full Circle: Research Data Management @ University of Pretoria
Going Full Circle: Research Data Management @ University of PretoriaJohann van Wyk
 
Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...Victoria Steeves
 
Research Data Management in Academic Libraries: Meeting the Challenge
Research Data Management in Academic Libraries: Meeting the ChallengeResearch Data Management in Academic Libraries: Meeting the Challenge
Research Data Management in Academic Libraries: Meeting the ChallengeSpencer Keralis
 

Similar to Data Management – A Case Study (20)

What are we doing about data? Emerging roles in data librarianship and Tales ...
What are we doing about data? Emerging roles in data librarianship and Tales ...What are we doing about data? Emerging roles in data librarianship and Tales ...
What are we doing about data? Emerging roles in data librarianship and Tales ...
 
Research Data and the Role of University Libraries
Research Data and the Role of University LibrariesResearch Data and the Role of University Libraries
Research Data and the Role of University Libraries
 
Cni research 3_april_2016
Cni research 3_april_2016Cni research 3_april_2016
Cni research 3_april_2016
 
Supporting the development of a national Research Data Discovery Service – a ...
Supporting the development of a national Research Data Discovery Service – a ...Supporting the development of a national Research Data Discovery Service – a ...
Supporting the development of a national Research Data Discovery Service – a ...
 
Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...
 
RDAP 16: Engaging Liaisons
RDAP 16: Engaging LiaisonsRDAP 16: Engaging Liaisons
RDAP 16: Engaging Liaisons
 
Open data and research data management at the University of Edinburgh: polici...
Open data and research data management at the University of Edinburgh: polici...Open data and research data management at the University of Edinburgh: polici...
Open data and research data management at the University of Edinburgh: polici...
 
Antony Brewerton "Supporting research: new opportunities for 'subject librari...
Antony Brewerton "Supporting research: new opportunities for 'subject librari...Antony Brewerton "Supporting research: new opportunities for 'subject librari...
Antony Brewerton "Supporting research: new opportunities for 'subject librari...
 
RDAP 15: Research Data Integration in the Purdue Libraries
RDAP 15: Research Data Integration in the Purdue LibrariesRDAP 15: Research Data Integration in the Purdue Libraries
RDAP 15: Research Data Integration in the Purdue Libraries
 
Designing and delivering an international MOOC on Research Data Management an...
Designing and delivering an international MOOC on Research Data Management an...Designing and delivering an international MOOC on Research Data Management an...
Designing and delivering an international MOOC on Research Data Management an...
 
Re tooling for data management-support
Re tooling for data management-supportRe tooling for data management-support
Re tooling for data management-support
 
Libraries and Research Data Management – What Works? Summary of a Pre-Survey.
Libraries and Research Data Management – What Works? Summary of a Pre-Survey.Libraries and Research Data Management – What Works? Summary of a Pre-Survey.
Libraries and Research Data Management – What Works? Summary of a Pre-Survey.
 
Research Data Management at The University of Edinburgh
Research Data Management at The University of EdinburghResearch Data Management at The University of Edinburgh
Research Data Management at The University of Edinburgh
 
DMPTool Webinar 4: Environmental Scan: Who’s important at your campus
DMPTool Webinar 4: Environmental Scan: Who’s important at your campusDMPTool Webinar 4: Environmental Scan: Who’s important at your campus
DMPTool Webinar 4: Environmental Scan: Who’s important at your campus
 
DMPTool Webinar Environmental Scan
DMPTool Webinar Environmental ScanDMPTool Webinar Environmental Scan
DMPTool Webinar Environmental Scan
 
Biblio
BiblioBiblio
Biblio
 
Going Full Circle: Research Data Management @ University of Pretoria
Going Full Circle: Research Data Management @ University of PretoriaGoing Full Circle: Research Data Management @ University of Pretoria
Going Full Circle: Research Data Management @ University of Pretoria
 
Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...Organizational Implications of Data Science Environments in Education, Resear...
Organizational Implications of Data Science Environments in Education, Resear...
 
Research Data Management in Academic Libraries: Meeting the Challenge
Research Data Management in Academic Libraries: Meeting the ChallengeResearch Data Management in Academic Libraries: Meeting the Challenge
Research Data Management in Academic Libraries: Meeting the Challenge
 
Brewerton2011
Brewerton2011Brewerton2011
Brewerton2011
 

Recently uploaded

Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.pptamreenkhanum0307
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Seán Kennedy
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Cantervoginip
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceSapana Sha
 
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxBoston Institute of Analytics
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一F sss
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxMike Bennett
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in collegessuser7a7cd61
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfJohn Sterrett
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样vhwb25kk
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 

Recently uploaded (20)

Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Machine learning classification ppt.ppt
Machine learning classification  ppt.pptMachine learning classification  ppt.ppt
Machine learning classification ppt.ppt
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Canter
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts Service
 
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptxNLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
NLP Project PPT: Flipkart Product Reviews through NLP Data Science.pptx
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptx
 
While-For-loop in python used in college
While-For-loop in python used in collegeWhile-For-loop in python used in college
While-For-loop in python used in college
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdf
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 

Data Management – A Case Study

  • 1. PURDUE UNIVERSITY LIBRARIES Data Management Services at 7 May 2014 Goh Su Nee NTU Libraries
  • 2. Why Purdue University Libraries? • Study Visit to Purdue University Libraries (3 days) and University of Illinois at Urbana-Champaign in early Mar 2014 (2 days)
  • 3. • Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 3 Key Goals: • Learning • Scholarly Communication • Global Challenges
  • 4. • Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 Learning: “Our learning goal focuses on information literacy* and learning spaces.” *Includes: • digital information literacy • science literacy • data literacy • health literacy, etc.
  • 5. • Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 Scholarly Communication: “Objective #3: Lead in data related scholarship and initiatives.”
  • 6. • Source: Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 https://www.lib.purdue.edu/sites/default/files/admin/plan2016.pdf Purdue University Libraries, Press, and Copyright Office Strategic Plan 2011-2016 Global Challenges : Objective #1: “Contribute to international information literacy, learning spaces, data management, and scholarly communication initiatives. ”
  • 7. For the case of Purdue, did data management work begin with or without a data management team first? 1 2 0%0% 1. With 2. Without
  • 8. Purdue University Libraries – How it began • Dean of Libraries (James Mullins) talked to 79 departments when he joined in 2004 • He asked liaison librarians to start talking to researchers about data management not as a service yet but as research project first • Re-appointed an existing librarian as the Interdisciplinary Research Librarian • Aligning librarian job titles with key university functions eg. IRL ‘renamed’ as Associate Dean for Research; Associate Dean for Academic Affairs instead of ‘user services’ • Volunteer working group formed soon after • Data and Management Specialists (‘DAM Group’) formalised in early 2014 • Associate Dean of Research in the Library (Scott) seconded (half of his pay from Research Office) half-time to Research Office
  • 9. Partners for Purdue’s Case Library Research office IT department Sponsored Programs Pre-award Services
  • 10. Purdue University Libraries – How a liaison librarian got involved in data management – Case 1 • Megan (English major) • Liaison librarian for physical earth sciences, civil engineering, building construction • Takes care of 500 faculty members
  • 11. Purdue University Libraries – How a liaison librarian got involved in data management – Case 2 • Megan (English major) • Liaison librarian for physical earth sciences, civil engineering, building construction • Takes care of 500 faculty members
  • 12. Dean of Libraries Associate Dean for Research & Assessment Instruction & Digital Programs Services Digital Collection Services Digital User Experience Specialist Distributed Data Curation Centre Director, Purdue University Press; Head, Scholarly Publishing Services Associate Dean for Planning & Administrati on Director of University Copyright Office Associate Dean for Academic Affairs Collection Mgt Info Literacy Resource Services 1st Yr & Emerging Technologies Licensing Archives & Special Collections Health & Life Sciences Humanities, Social Sciences, Education, Business Physical Sciences, Engineering, Technology Data & Metadata Specialists W. W. Booker Chair in Info Literacy University Archivist Director, Strategic Communic ation
  • 13. Purdue University Libraries – Data & Metadata Group 2014 • The ‘DAM’ Group provides leadership, coordination and expertise in areas of data management and data education. We do this by: – Exploring, planning and designing applications, methodologies, tools and techniques to improve data management planning – Working closely with liaison librarians to promote and deliver data services, such as using Data Curation Profiles to assess data workflow – Coordinating data-related outreach efforts, such as using PURR for data publishing, with subject liaisons – Developing courses and instruction related to data information literacy
  • 14. Purdue University Libraries “Research and Data Services provide support and guidance for: • description, • workflow, • management, • discovery, • dissemination and • preservation of data throughout the research lifecycle.” Look at: https://www.lib.purdue.edu/research
  • 15. At which stage(s) of research are Purdue’s data management services provided? 1 2 3 4 0% 0%0%0% 1. Preparing 2. During 3. End 4. All of the above
  • 16. Purdue University Libraries – PURR • PURR – Purdue University Research Repository • Research collaboration and data management solution for Purdue researchers and their collaborators Watch Youtube: http://www.youtube.com/watch?v=Yw0IJj7FqA8
  • 17. Purdue University Libraries - PURR Preparing • Preparing for research proposals During • During a research project End • At the end of a research project
  • 18. Purdue University Libraries – PURR “Sharing the data that supports your research enables other scholars to reuse and cite your data as well as to reproduce your research.”
  • 19. Purdue University Libraries – Data Curation Profile Toolkit Composed of four documents: • The User Guide • The Interviewer’s Manual • The Interview Worksheet • The Template
  • 20. Purdue University Libraries – PURR Repository
  • 21. Purdue University Libraries – PURR Repository • Look at featured dataset: https://purr.purdue.edu/publications/1600