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Building Sustainable Services
at the Small(er) Scale
This work is licensed under a Creative Commons Attribution-
NonCommercial-ShareAlike 4.0 International License.
Hello!
I am Ryan Clement
Currently Data Services Librarian at Middlebury College.
Formerly at Reed College.
You can find me at @rkclement
This work is licensed under a Creative Commons Attribution-
NonCommercial-ShareAlike 4.0 International License.
1.
Small(er)?
What we talk about when we talk about small liberal arts colleges
Characteristics of
small LACs
● Primarily undergraduate
● Primarily non-professional
degrees
● Highly residential
● Selective
● Very low student-faculty
ratio (13:1)
● Teacher-scholar model
● High-touch expectations
Funding for
Research
● Almost all from Federal funding
(93%)
● As opposed to many similar
institutions (around 30-50%)
● Biggest sources: NSF, H&HS,
NASA
Source: http://colleges.startclass.com/
What we support
@ Middlebury
Data Discovery
Data Management
& Curation
Software Support
and Data Analysis
Data Visualization Data Preservation
Data Services
Librarian secondary
Science Data
Librarian Soon
Digital Archives
Librarian Soon
Student Tutor
Program
Soon
secondary
2.
Setting the foundation
Getting data services up and running
Faculty behaviors and attitudes
Infrastructure
Middlebury
● 8 systems within
○ Some home-
grown
● 7 systems outside
○ Some home-
grown
● Unitask systems
Already too complex
for a small(er)
organization!
Flowchart: Patrick Wallace, Middlebury Library
We can’t handle
another flowchart!
Flowchart: Patrick Wallace, Middlebury Library
“ At liberal arts colleges, the big
opportunities around data services
center on students.
- Mark Dahl, Lewis & Clark College
Middlebury
▪ Thesis & other student work (varies)
▫ SCA collects some
▸ ~5000 theses, about 10% digitized
▫ Electronic thesis archive
▪ Student Symposium
▫ Posters, slides, etc.
▪ Where is student data now?
▫ In departmental servers, file cabinets, student laptops...
Student Work
Our graduates come to your graduate and
professional programs
3.
Instructional Assessment
What can we see through a form?
Three Forms of
Instruction
Individual
Consultations
▪ Science Data
Librarian, typically
▫ DMP
assistance
▪ Data Svcs Librarian:
social sciences &
humanities
▪ Assessment: typical
stats tracking
One-topic
Workshops
▪ Varies, mainly open
(not class-based)
▪ Mainly aimed at
social science and
humanities
▪ Students, faculty,
staff
▪ Assessment: post-
workshop feedback,
reflection
Longer Workshops
▪ NW5C Data Curation
Workshop (model)
▪ Lab/team-based
▪ Covering “data
management and
curation basics”
▪ Students, faculty,
librarians
▪ Assessment: pre-
and post-workshop
knowledge/behavior
assessment, DCPs,
reflection
4.
Our Wishlist
Where do we go from here?
Assessment
Wishlist
▪ Repository system - usage, staff time
▪ Repository system - user experience testing
▪ DMPs - who is doing what they said they would
▪ Outreach - who on campus are we not reaching (social sciences,
humanities, Digital Liberal Arts…)
▪ Add assessment and data literacy competencies to research
methods classes (Info Lit project)
And let’s try to avoid making another flowchart...
Measuring what YOU need
Image: Shutterstock via Lifehacker
So...how are we
defining success?
EASE -> simplifying processes, eventually reducing staff
time
UPTAKE -> making sure users are using what we build
OUTREACH -> increasing our reach in the social sciences
and humanities
EDUCATION -> reaching students more effectively through
the curriculum
Thanks!!
Ryan Clement
Data Services Librarians, Middlebury
@rkclement
rclement@middlebury.edu
Credits
Special thanks to all the people who made and provided
these awesome resources for free:
▪ Presentation template by SlidesCarnival
▪ Photographs courtesy Reed College (slide 13) and
Middlebury College (slides 1,2,7, & 8), others as noted
▪ Flowchart courtesy Patrick Wallace, Digital Archives
Librarian, Middlebury College

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RDAP 16: Building Sustainable Services at the Small(er) Scale (Panel 4, Measuring Up)

  • 1. Building Sustainable Services at the Small(er) Scale This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License.
  • 2. Hello! I am Ryan Clement Currently Data Services Librarian at Middlebury College. Formerly at Reed College. You can find me at @rkclement This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License.
  • 3. 1. Small(er)? What we talk about when we talk about small liberal arts colleges
  • 4. Characteristics of small LACs ● Primarily undergraduate ● Primarily non-professional degrees ● Highly residential ● Selective ● Very low student-faculty ratio (13:1) ● Teacher-scholar model ● High-touch expectations
  • 5. Funding for Research ● Almost all from Federal funding (93%) ● As opposed to many similar institutions (around 30-50%) ● Biggest sources: NSF, H&HS, NASA Source: http://colleges.startclass.com/
  • 6. What we support @ Middlebury Data Discovery Data Management & Curation Software Support and Data Analysis Data Visualization Data Preservation Data Services Librarian secondary Science Data Librarian Soon Digital Archives Librarian Soon Student Tutor Program Soon secondary
  • 7. 2. Setting the foundation Getting data services up and running
  • 9. Infrastructure Middlebury ● 8 systems within ○ Some home- grown ● 7 systems outside ○ Some home- grown ● Unitask systems
  • 10. Already too complex for a small(er) organization! Flowchart: Patrick Wallace, Middlebury Library
  • 11. We can’t handle another flowchart! Flowchart: Patrick Wallace, Middlebury Library
  • 12. “ At liberal arts colleges, the big opportunities around data services center on students. - Mark Dahl, Lewis & Clark College
  • 13. Middlebury ▪ Thesis & other student work (varies) ▫ SCA collects some ▸ ~5000 theses, about 10% digitized ▫ Electronic thesis archive ▪ Student Symposium ▫ Posters, slides, etc. ▪ Where is student data now? ▫ In departmental servers, file cabinets, student laptops... Student Work
  • 14. Our graduates come to your graduate and professional programs
  • 15. 3. Instructional Assessment What can we see through a form?
  • 16. Three Forms of Instruction Individual Consultations ▪ Science Data Librarian, typically ▫ DMP assistance ▪ Data Svcs Librarian: social sciences & humanities ▪ Assessment: typical stats tracking One-topic Workshops ▪ Varies, mainly open (not class-based) ▪ Mainly aimed at social science and humanities ▪ Students, faculty, staff ▪ Assessment: post- workshop feedback, reflection Longer Workshops ▪ NW5C Data Curation Workshop (model) ▪ Lab/team-based ▪ Covering “data management and curation basics” ▪ Students, faculty, librarians ▪ Assessment: pre- and post-workshop knowledge/behavior assessment, DCPs, reflection
  • 17. 4. Our Wishlist Where do we go from here?
  • 18. Assessment Wishlist ▪ Repository system - usage, staff time ▪ Repository system - user experience testing ▪ DMPs - who is doing what they said they would ▪ Outreach - who on campus are we not reaching (social sciences, humanities, Digital Liberal Arts…) ▪ Add assessment and data literacy competencies to research methods classes (Info Lit project) And let’s try to avoid making another flowchart...
  • 19. Measuring what YOU need Image: Shutterstock via Lifehacker
  • 20. So...how are we defining success? EASE -> simplifying processes, eventually reducing staff time UPTAKE -> making sure users are using what we build OUTREACH -> increasing our reach in the social sciences and humanities EDUCATION -> reaching students more effectively through the curriculum
  • 21. Thanks!! Ryan Clement Data Services Librarians, Middlebury @rkclement rclement@middlebury.edu
  • 22. Credits Special thanks to all the people who made and provided these awesome resources for free: ▪ Presentation template by SlidesCarnival ▪ Photographs courtesy Reed College (slide 13) and Middlebury College (slides 1,2,7, & 8), others as noted ▪ Flowchart courtesy Patrick Wallace, Digital Archives Librarian, Middlebury College