INFO 284-10
Seminar in Archives and Records Management
Topic: Tools, Services, and Methodologies for Digital Curation
Fall 2021 Syllabus

Alyce L. Scott

Office hours: Virtually, by appointment via email, in Zoom.

Syllabus Links
Canvas Student Tutorials
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Canvas Information: Courses will be available beginning August 19 at 6 am PT unless you are taking an intensive or a one-unit or two-unit class that starts on a different day. In that case, the class will open on the first day that the class meets.

You will be enrolled in the Canvas site automatically.

Class begins via Canvas on August 19, 2021.

Be sure to log into the course site no later than August 19, to begin the first lesson.

Course Description

Overview of the tools, services, and methodologies used to manage data and digital objects throughout their lifecycle. Students will be introduced to trusted digital repositories and gain experience with tools and services such as DROID and Archive -It.

Course Requirements

Class Virtual Meetings
All lectures are pre-recorded. There will generally be one lecture given each week. Any live Zoom sessions (e.g. Archive-It training) will be recorded for later listening. (There are no mandatory live sessions.)

Computer Access
Zoom will be the venue for any live online lectures/training and Canvas will be the venue for class discussion, and assignments. You must have regular access to a computer to access course materials and online lectures. At least two assignments will involve working with image files. For this reason, you should have access to a computer with a reasonable network connection speed to download and complete the assignments.


Assignment Learning Objectives/Competencies Graded Points

1. Data/digital curation in the news

2. Designing a file preservation strategy

3. Trusted digital repository case study

4. Web archiving










1. Issues/chanllenges in digital curation

2. Are you repository ready?

3. Digital forensic problems/projects










Total   100

 Assignment Requirements

  • Check the course site daily for announcements and discussion posts.
  • Submit assignments via Canvas, by 11:59 PM (PT) on the due date. 
  • Late assignments are not accepted except in cases of serious illness or family emergency - or with the prior consent of the instructor. Late assignments will not be accepted after 5 days past the due date. Late assignments submitted after the assignment deadline will receive a 10% point reduction per day up to 5 days, based on the total point value of the assignment. No points will be awarded after 5 days late.
  • Discussion board posts will not be accepted for credit after the module's discussion has ended.
  • All course materials must be completed by the last day of class - incompletes will not be given.

Course Calendar
A detailed schedule will be maintained on Canvas. The course will follow a week-by-week schedule, and students must keep current with the progress of the course.





Week 1:

August 18-23


Introduction to data and digital curation
  • Post to the Introduction: “Who are you?” discussion (please include your time zone) by August 21
  • Familiarize yourself with the Canvas course site  

Week 2

August 25-31

Issues/challenges in data curation and preservation  

Week 3

September 1-7


Lifecycle models for digital curation: featuring OAIS (Open Archival Information System) Reference Model


  • Discussion 1 ends: September 7
  • Assignment 1: Data/digital curation in the news.  Due September 7
  • Web Archiving Task 1: groups should be meeting by now to discuss potential archiving topics. After you meet, post a note to the web archiving discussion. Due September 7

 Week 4:

September 8-14

Electronic Records Management Systems -  relationship to digital curation


Week 5:

September 15-21

OAIS (Open Archival Information System) Reference Model

  • Web Archiving Task 2: post your topic to the web archiving discussion. Begin researching potential sites. Due September 21

Week 6:

September 22-28

Trusted digital repositories/ TRAC & TDR - audit and certification



Week 7:

September 29-October 5

Institutional repositories: data curation tools 

  • Assignment 2: Due October 5

Week 8:

October 6-12

Data integrity: maintaining the authenticity of digital files

  • Archive-it training: TBA
  • Web Archiving Task 3: choose draft websites and explore copyright issues, if any. Post a brief report of your findings to the web archiving discussion. Due October 12

Week 9:

October 13-19

Tools for performing specific repository functions: Ingest; Metadata and Arrangement

  • Discussion 2 ends: October 19

Week 10:

October 20-26

Tools for performing specific repository functions: Characterization; Checksums
  • Web Archiving Task 4: Use Archive Ready to evaluate your websites. Post the one page printable HTML results for one of your sites, with a brief explanation. Due October 26

Week 11:

October 27-November 2

Tools for performing specific repository functions: Preservation actions

  • Assignment 3:  due November 2

Week 12:

November 3-9

Web archiving, pt.1  

 Week 13:

November 10-16

Web archiving, pt.2  

Week 14:

November 17-23

Forensics to support curation and preservation


Week 15:

November 24-30

Thanksgiving Week - no lecture this week - work time  

Week 16:

December 1-6

No lectures/readings this week - work time
  • Discussion 3 ends: December 3
  • Assignment 4: Group paper/presentations due: December 4

All readings are available online, either through provided URLs or within the Canvas course site.

Course Workload Expectations

Success in this course is based on the expectation that students will spend, for each unit of credit, a minimum of forty-five hours over the length of the course (normally 3 hours per unit per week with 1 of the hours used for lecture) for instruction or preparation/studying or course related activities including but not limited to internships, labs, clinical practica. Other course structures will have equivalent workload expectations as described in the syllabus.

Instructional time may include but is not limited to:
Working on posted modules or lessons prepared by the instructor; discussion forum interactions with the instructor and/or other students; making presentations and getting feedback from the instructor; attending office hours or other synchronous sessions with the instructor.

Student time outside of class:
In any seven-day period, a student is expected to be academically engaged through submitting an academic assignment; taking an exam or an interactive tutorial, or computer-assisted instruction; building websites, blogs, databases, social media presentations; attending a study group;contributing to an academic online discussion; writing papers; reading articles; conducting research; engaging in small group work.

Course Prerequisites

INFO 284 has no prequisite requirements.

Course Learning Outcomes

Upon successful completion of the course, students will be able to:

  1. Conceptualize and plan the creation and storage of digital data and objects.
  2. Determine specifications for a trusted digital repository or a digital archives/preservation service.
  3. Develop a migration plan for a digital collection to different formats.

Core Competencies (Program Learning Outcomes)

INFO 284 supports the following core competencies:

  1. F Use the basic concepts and principles related to the selection, evaluation, organization, and preservation of physical and digital information items.
  2. H Demonstrate proficiency in identifying, using, and evaluating current and emerging information and communication technologies.


No Textbooks For This Course.

Grading Scale

The standard SJSU School of Information Grading Scale is utilized for all iSchool courses:

97 to 100 A
94 to 96 A minus
91 to 93 B plus
88 to 90 B
85 to 87 B minus
82 to 84 C plus
79 to 81 C
76 to 78 C minus
73 to 75 D plus
70 to 72 D
67 to 69 D minus
Below 67 F


In order to provide consistent guidelines for assessment for graduate level work in the School, these terms are applied to letter grades:

  • C represents Adequate work; a grade of "C" counts for credit for the course;
  • B represents Good work; a grade of "B" clearly meets the standards for graduate level work or undergraduate (for BS-ISDA);
    For core courses in the MLIS program (not MARA, Informatics, BS-ISDA) — INFO 200, INFO 202, INFO 204 — the iSchool requires that students earn a B in the course. If the grade is less than B (B- or lower) after the first attempt you will be placed on administrative probation. You must repeat the class if you wish to stay in the program. If - on the second attempt - you do not pass the class with a grade of B or better (not B- but B) you will be disqualified.
  • A represents Exceptional work; a grade of "A" will be assigned for outstanding work only.

Graduate Students are advised that it is their responsibility to maintain a 3.0 Grade Point Average (GPA). Undergraduates must maintain a 2.0 Grade Point Average (GPA).

University Policies

Per University Policy S16-9, university-wide policy information relevant to all courses, such as academic integrity, accommodations, etc. will be available on Office of Graduate and Undergraduate Programs' Syllabus Information web page at: Make sure to visit this page, review and be familiar with these university policies and resources.

In order to request an accommodation in a class please contact the Accessible Education Center and register via the MyAEC portal.

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