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Special Collections

Special Collections currently incorporate traditional analog materials, digitized versions of rare items such as manuscripts and primary sources, and born-digital materials that may be useful to scholarship in the future. CNI has provided a context for the discussion of emerging trends that will help institutions innovate in this area. We also feature the use of Special Collections as resources in the curriculum and in projects where students and faculty work together with librarians on digital projects.

Recent Publications/Reports/Presentations by CNI Staff

“Machine Learning, Archives and Special Collections” (October '19)
Author: Clifford A. Lynch

View “Machine Learning, Archives and Special Collections: A High-Level View” View more information

 

Library & IT Partnerships with Campus Museums & Archives (January '17)
View Online

View more information

 

“Special Collections at the Cusp of the Digital Age: A Credo” (December '09)
Author: Clifford A. Lynch
View Online
View more information

 

“Medical Libraries, Bioinformatics, and Networked Information: A Coming Convergence?” (October '99)
Author: Clifford A. Lynch View more information

 


View all Publications/Reports/Presentations by CNI Staff on this topic


Recent Project Briefings & Plenary Sessions from CNI Meetings

Artificial Intelligence for Transcription and Metadata in Special Collections: Three Projects (March '25)

Douglas Boyd, University of Kentucky
Hope Dunbar, University at Buffalo
Rachel Senese Myers, Georgia State University


Reconsidering Digital Ecosystems for Curation (March '25)

Lindsey Memory, Brigham Young University
Andy Spackman, Brigham Young University
Reed Jones, University at Buffalo
Adam Strohm, Illinois Institute of Technology


The American Institute of Physics Research Strategy: Cultivating Positive Change in the Physical Sciences (Lightning Round) (November '24)

Trevor Owens, American Institute of Physics


Artificial Intelligence (AI) at Yale: Updates on Institutional and Library Generative AI Initiatives (November '24)

Lauren Di Monte, Yale University
Dale Hendrickson, Yale University
Michael Appleby, Yale University


Born-Digital Poetry: Planning for the Future of Literary Archives (November '24)

Nadia Ghasedi, Washington University in St. Louis
Mitch Sumner, Washington University in St. Louis



View all CNI Project Briefings & Plenary Sessions on this topic


Recent Videos

Ethical Data Curation in Libraries and Archives: The Dana A. Dorsey Collection (May '25)
Jamie Rogers, Florida International University
Rhia Rae, Florida International University View more information

 

Re-Envisioning the Digital Repository: Showcasing Our Exciting Islandora Solution (January '25)
Chulin Meng, Lehigh University
Joe Corall, Lehigh University View more information

 

Ontario Universities’ Artificial Intelligence/Machine Learning Task Force Moves Ahead (August '24)
Jacqueline Whyte Appleby, Scholars Portal
Catherine Steeves, Western University View more information

 

Strategic Plan 2.0: A Digitally-Infused Strategic Plan for the Library of Congress  (February '24)
Leah Weinryb Grohsgal, Library of Congress
Natalie Buda Smith, Library of Congress
Carly Morse, Library of Congress View more information

 

ArchivesSpace at 10: Reflections on Developing a Sustainable Open-Source Content Management System (November '23)
Jessica Crouch, ArchivesSpace
Christine Di Bella, ArchivesSpace View more information

 

View all Videos on this topic


Recent Podcasts

A Conversation with CNI’s Cliff Lynch (September '22) Speaker: Clifford Lynch
Listen to the podcast
View more information

 

Facing Slavery, Memory, and Reconciliation: The Research Library’s Role and Georgetown University’s Experience (December '17) K. Matthew Dames, Georgetown University
Melissa Levine, University of Michigan View more information

 

View all Podcasts on this topic


Topics

  • Access & Equity
  • Assessment
  • COVID-19 Crisis Related
  • Cyberinfrastructure
  • Digital Curation
  • Digital Humanities
  • Digital Libraries
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  • Ebooks
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  • Economic Models
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