
Laying the Foundation: Digital Humanities in Academic Libraries
Laying the Foundation: Digital Humanities in Academic Libraries examines the library’s role in the development, implementation, and instruction of successful digital humanities projects. It pays special attention to the critical role of librarians in building sustainable programs. It also examines how libraries can support the use of digital scholarship tools and techniques in undergraduate education.
Academic libraries are nexuses of research and technology; as such, they provide fertile ground for cultivating and curating digital scholarship. However, adding digital humanities to library service models requires a clear understanding of the resources and skills required. Integrating digital scholarship into existing models calls for a reimagining of the roles of libraries and librarians. In many cases, these reimagined roles call for expanded responsibilities, often in the areas of collaborative instruction and digital asset management, and in turn these expanded responsibilities can strain already stretched resources.
Laying the Foundation provides practical solutions to the challenges of successfully incorporating digital humanities programs into existing library services. Collectively, its authors argue that librarians are critical resources for teaching digital humanities to undergraduate students and that libraries are essential for publishing, preserving, and making accessible digital scholarship.
Print editions available for purchase from Purdue University Press.
Authors: Trevor Muñoz, James Baker, Mary Battle, Tyler Mobley, Heather Gilbert, Katherine Rawson, Seth Kotch, Sarah Melton, Brian Rosenblum, Arienne Dwyer, Thea Lindquist, Holley Long, and Alexander Watkins, Benjamin Fraser, Jolanda-Pieta van Arnhem, Harriett E. Green, and Stewart Varner
- 00 Frontmatter
- 01 Munoz
- 02 Baker
- 03 Battle
- 04 Rawson
- 05 Kotch
- 06 Melton
- 07 Rosenblum
- 08 Lindquist
- 09 Fraser
- 10 Green
- 11 Varner
- 12 Index
Free Machine Learning Books
11 Books
- Pattern Recognition and Machine Learning (Information Science and Statistics)
- by Christopher M. Bishop
- Data mining
- by I. H. Witten
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- by Various
Free Chemistry Textbooks
9 Books
- CK-12 Chemistry
- by Various
- Concept Development Studies in Chemistry
- by John Hutchinson
- An Introduction to Chemistry - Atoms First
- by Mark Bishop
Free Mathematics Textbooks
21 Books
- Microsoft Word - How to Use Advanced Algebra II.doc
- by Jonathan Emmons
- Advanced Algebra II: Activities and Homework
- by Kenny Felder
- de2de
- by
Free Children Books
38 Books
- The Sun Who Lost His Way
- by
- Tania is a Detective
- by Kanika G
- Firenze_s-Light
- by
Free Java Books
10 Books
- Java 3D Programming
- by Daniel Selman
- The Java EE 6 Tutorial
- by Oracle Corporation
- JavaKid811
- by
- Jamaica Primary Social Studies 2nd Edition Student's Book 4
- by Eulie Mantock, Trineta Fendall, Clare Eastland
- Reggae Readers Student's Book 1
- by Louis Fidge
- Reggae Readers Student's Book 2
- by Louis Fidge