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Fall 2025

 

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Data Science (DSCI)
204 Pacific Hall,
College of Arts & Sciences
Course Data
  DSCI 350M   Hum Res Data Mgmt 4.00 cr.
This course provides students with theoretical and practical experience in collecting, processing, archiving, and publishing humanities data (images, video, sound, text, maps, etc.) gathered from galleries, libraries, archives, and museums (GLAMs). Multilisted with LIB 350M.
Grading Options: Graded for all students
Instructor: Thornhill KE-mail Office:   142 Knight Library
Phone:   (541) 346-3714
Course Materials
 
  CRN Avail Max Time Day Location Instructor Notes
  16825 1 20 1000-1150 tr 122 LIB Thornhill K  
Academic Deadlines
Deadline     Last day to:
September 28:   Process a complete drop (100% refund, no W recorded)
October 4:   Drop this course (100% refund, no W recorded; after this date, W's are recorded)
October 4:   Process a complete drop (90% refund, no W recorded; after this date, W's are recorded)
October 5:   Process a complete withdrawal (90% refund, W recorded)
October 5:   Withdraw from this course (100% refund, W recorded)
October 6:   Add this course
October 6:   Last day to change to or from audit
October 12:   Process a complete withdrawal (75% refund, W recorded)
October 12:   Withdraw from this course (75% refund, W recorded)
October 19:   Process a complete withdrawal (50% refund, W recorded)
October 19:   Withdraw from this course (50% refund, W recorded)
October 26:   Process a complete withdrawal (25% refund, W recorded)
October 26:   Withdraw from this course (25% refund, W recorded)
November 16:   Withdraw from this course (0% refund, W recorded)
Caution For information on last day to Change Grade Option or Change Variable credit: Dates & Deadlines calendar

You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, connect with an Academic Advisor. If you are attempting to completely withdraw after business hours, and have difficulty, please contact the an Academic Advisor the next business day.

Expanded Course Description

This course provides students with theoretical and practical experience in collecting, processing, archiving, and publishing humanities data (images, video, sound, text, maps, etc.) gathered from galleries, libraries, archives, and museums (GLAMs). With the goal of building thematic digital collections as researchers, students will learn digital methodologies focusing on the technical, legal, ethical, and social aspects of working with humanities research data throughout its curation lifecycle. This includes hands-on experience finding, assessing, organizing, and reformatting data; creating and remediating descriptive metadata; evaluating and determining copyright and licensing; writing a data management plan using the standards set by the National Endowment for the Humanities, and sharing thematic research digital collections using GitHub and the open-source platform CollectionBuilder.

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Release: 8.11