Immersive	
  Informa-cs	
  Educa-on	
  
for	
  Research	
  Data	
  Specialists	
  
Sheila	
  Corrall	
  
Professor	
  and	...
Digital	
  Cura-on	
  Educa-on	
  in	
  the	
  USA	
  
•  Massive	
  investment	
  in	
  RDM	
  educa-on	
  and	
  capacit...
Family	
  of	
  Data	
  Scien-st	
  Roles	
  
•  Data	
  engineer	
  –	
  focus	
  on	
  so_ware	
  development,	
  coding...
Re-­‐engineering	
  Libraries	
  
Re-­‐skilling	
  Librarians	
  
•  New	
  prac-ce	
  modes	
  
–  from	
  liaison	
  to	...
RDM	
  Seminar	
  @	
  PiA	
  iSchool	
  
Course	
  Developer	
  and	
  
Instructor:	
  Dr.	
  Liz	
  Lyon	
  
1.  Introdu...
Pt.	
  2	
  Research	
  Data	
  Infrastructures	
  
Course	
  Developer	
  and	
  
Instructor:	
  Dr.	
  Liz	
  Lyon	
  
1...
1.  Briefing	
  paper	
  on	
  developing	
  
a	
  university	
  data	
  policy	
  
2.  Cri-cal	
  appraisal	
  of	
  selec...
Student	
  Feedback	
  
“It	
  was	
  great	
  to	
  see	
  a	
  real-­‐life	
  
example	
  of	
  how	
  a	
  lab	
  gener...
Sample	
  MLIS	
  RDM	
  Track	
  Course	
  Planner	
  
Core/Founda+onal	
  
Courses	
  	
  
(required)	
  
•  Understandi...
Other	
  Specialist	
  Data	
  Courses	
  	
  
at	
  the	
  PiAsburgh	
  iSchool	
  
MS	
  in	
  Informa-on	
  Science	
  ...
MSIS	
  Big	
  Data	
  Analy-cs	
  Specializa-on	
  
Pre-­‐requisite	
  courses	
  
•  Programming	
  
•  Sta-s-cs	
  
•  ...
Ques-ons	
  and	
  Comments	
  
Sheila	
  Corrall	
  
scorrall@piA.edu	
  
Liz	
  Lyon	
  
elyon@piA.edu	
  
	
  
Libraries and Research Data Management – What Works? - Sheila Corrall - Immersive Informatics Education for Research Data ...
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Libraries and Research Data Management – What Works? - Sheila Corrall - Immersive Informatics Education for Research Data Specialists

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This presentation by Sheila Corrall was given at the Scholarly Communication and Research Infrastructures Steering Committee Workshop. The workshop title was Libraries and Research Data Management – What Works?

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Libraries and Research Data Management – What Works? - Sheila Corrall - Immersive Informatics Education for Research Data Specialists

  1. 1. Immersive  Informa-cs  Educa-on   for  Research  Data  Specialists   Sheila  Corrall   Professor  and  Chair   Library  &  Informa-on  Science   www.ischool.piA.edu/lis  
  2. 2. 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)  
  3. 3. 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)  
  4. 4. 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)  
  5. 5. 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  
  6. 6. 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  
  7. 7. 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  
  8. 8. 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  
  9. 9. 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  
  10. 10. 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  
  11. 11. 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  
  12. 12. Ques-ons  and  Comments   Sheila  Corrall   scorrall@piA.edu   Liz  Lyon   elyon@piA.edu    

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