Libraries and Research Data Management – What Works? - Sheila Corrall - Immersive Informatics...
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Transcript of Libraries and Research Data Management – What Works? - Sheila Corrall - Immersive Informatics...
Immersive Informa-cs Educa-on for Research Data Specialists
Sheila Corrall Professor and Chair
Library & Informa-on Science
www.ischool.piA.edu/lis
Digital Cura-on Educa-on in the USA • Massive investment in RDM educa-on and capacity building by Ins-tute of Museum & Library Studies – $9M on curriculum development, scholarships, etc.
• Around 33% of US schools offer one or more courses – 10 special tracks, 7 Master’s programs, 4 cer-ficates – target audiences include LIS Master’s and PhD students,
exis-ng prac--oners and graduates in other disciplines – experien-al learning via internships and field experiences
• Other ini-a-ves include annual training ins-tutes and library-‐led data literacy for Sci & Eng students
(Corrall, 2012; Corrall, Kennan & Afzal, 2013)
Family of Data Scien-st Roles • Data engineer – focus on so_ware development, coding,
programming, tools
• Data analyst – focus on business/scien-fic analy-cs and sta-s-cs, e.g., R, SAS, Excel, to support researchers and modelers, business
• Data librarian – focus on advocacy, research data management/informa-cs in a university/ins-tute
• Data steward – focus on long term digital preserva-on, repositories, archives, data centers
• Data journalist – focus on telling stories and news (Lyon, 2012)
Re-‐engineering Libraries Re-‐skilling Librarians • New prac-ce modes
– from liaison to immersive
immersiveInforma-cs – co-‐developed by UKOLN, University of Bath and University of Melbourne
• Immersive sessions in lab (Lyon, 2012)
RDM Seminar @ PiA iSchool Course Developer and Instructor: Dr. Liz Lyon 1. Introduc-ons and
Overview 2. Data Landscape 3. Ins-tu-ons and Data 4. Data Requirements and
Capability 5. Roadmaps, Strategy and
Planning 6. Data Management Plans 7. Disciplinary Data 1
8. Immersive Analysis with Faculty Researchers
9. Legal and Ethical Issues 10. Disciplinary Data 2 11. Data Centers 12. Data Advocacy, Skills,
Training 13. Data Sustainability and
Costs 14. Roadmap Presenta-ons
Spring 2014, Fall 2014
Pt. 2 Research Data Infrastructures Course Developer and Instructor: Dr. Liz Lyon 1. Introduc-ons and
Overview 2. Data Standards 3. Data Cita-on and Metrics 4. Data Publica-on 5. Data Discovery 6. Immersive Session with
Researchers 7. Disciplinary Data 3
8. Data Storage 9. Data Repositories 10. Data Preserva-on
(Long-‐term) 11. Ci-zen Science,
Ci-zen Data 12. Data Science 13. Data, Society,
Futures 14. Presenta-ons and
Summary Evalua-on
Fall 2014, Spring 2015
1. Briefing paper on developing a university data policy
2. Cri-cal appraisal of selected data tools for data audits and data management plans
3. Disciplinary posi-on paper
4. Develop an RDM Roadmap or Business Case Presenta-on (for a professional audience) with suppor-ng evidence and documenta-on
? RDM Assignments
Student Feedback “It was great to see a real-‐life example of how a lab generates and uses data.”
“We learned not only about the specifics of their research but about the lifecycle of data.”
“This was a valuable experience. It was very prac-cal and illuminated some of the struggles that one may encounter in discussing data as its own area of research.”
Course Features • Case studies and global exemplars
• Methodologies and tools
• Invited speakers • Prepare for prac-ce • Disciplinary data focus • Innova-ve immersive session in the lab
Sample MLIS RDM Track Course Planner Core/Founda+onal Courses (required) • Understanding
Informa-on • Library and
Archival Compu-ng
• Organizing and Retrieving Informa-on
• Managing and Leading LIS
Specializa+on Courses (recommended) • Research Data
Management • Research Data
Infrastructures • Informa-on
Architecture • Metadata • Data and
Informa-on Visualiza-on
Suggested Elec+ves (choose 3 or more) • Academic Libraries • Research Methods • Scholarly
Communica-on • Geographic
Informa-on Systems
• Preserving Digital Culture
• Field Experience • Individual Project
Other Specialist Data Courses at the PiAsburgh iSchool
MS in Informa-on Science Big Data Analy-cs Specializa-on
www.ischool.piA.edu/ist/degrees/specializa-ons/big-‐data.php
MSIS Big Data Analy-cs Specializa-on Pre-‐requisite courses • Programming • Sta-s-cs • Mathema-cs • Data Structures • JAVA Required courses • Decision Analysis & Decision
Support Systems • Algorithm Design • Database Management • Advanced Topics in Database
Management • Data Analy-cs + Two elec+ves
One course from • Intro to Info Storage & Retrieval • Data Mining One course from • Introduc-on to Neural Networks • Social Compu-ng Two courses from • Geospa-al Informa-on Systems • Mobile GIS & Loca-on-‐Based Services • Network Science • Informa-on Visualiza-on • Security & Privacy • Advanced Topics in GIS • Network Performance • Computer Networking