Digital scholarship is the incorporation of computational techniques and digital tools to traditional scholarly research. Digital scholarship has shown great potential for transforming humanities studies, and humanities researchers have long used computer technology to support their work. However, the application of computational techniques is far less common. Applying computational techniques would enable humanists to solve problems that historically have been too difficult. Archivists can now consider ways to allow researchers access to rare materials, and Librarians can provide personalized help and recommendations for subjects they themselves may not be familiar with. Digital Scholarship provides a brief grounding in the history of digital scholarship by introducing several of the main areas in which digital techniques can enhance scholarly information processing. Subsequent chapters cover metadata and issues of born-digital artefacts. The remaining chapters move on to text analytics, analyzing information and conclude with social issues of digital scholarship.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Traditional scholars interested in leveraging digital technologies; Technologists interested in better understanding how they can help scholars; Humanities and Information Science students practising for a career in digital scholarship.
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-84334-780-4 (9781843347804)
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Schweitzer Klassifikation
Paul Logasa Bogen II is a postdoctoral research associate in the Intelligent Computing Research team at Oak Ridge National Laboratory where he has worked in the areas of Digital Libraries, Digital Forensics, and Social Media Analysis. He is the co-editor of the IEEE TCDL Newsletter and a member of the ACM SIGWEB Advisory Committee. He is an active member of the Digital Libraries community as the co-editor of the IEEE TC-DL Newsletter, the JCDL Student Representative to the SIGWEB Advisory Committee, an organizer for the JCDL 2013 CurateCamp, and an author of 18 refereed conference publications.
Autor*in
Oak Ridge National Laboratory, USA
1. Introduction and overview 2. History of Digital Scholarship (1940-1990) 3. Practice: Introduction to programming with Python 4. History of Digital Scholarship (1990-Present) 5. Practice: Data processing in Python 6. Theory: Text Encoding (XML, TEI) 7. Practice: Term vectors and N-Grams 8. Theory: Computational views on metadata 9. Practice: Regular expressions 10. Issues and challenges of born-digital artifacts 11. Practice: Collection access with Omeka 12. Theory: A brief overview of text analytics 13. Practice: Analyzing information with Weka 14. Theory: Creative information visualization 15. Practice: Visualization with many eyes 16. Theory: Social issues in digital scholarship 17. Practice: GIS with ViewShare