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College of Professional and Global Education · School of Information

DAM-Digital Assets Management
INFM 207

  • Spring Session I 2023
  • Section 10
  • 2 Unit(s)
  • 01/09/2023 to 03/05/2023
  • Modified 05/22/2023

Canvas Information: Courses will be available January 9th (Beginning of INFM Session I), 6 am PT.

You will be enrolled in the Canvas site automatically.

Contact Information

John Horodyski
Phone: 917.656.2956
Office Hours: Virtual office hours. Telephone and in-person advising by appointment

Course Description and Requisites

Concepts, terminology, practice and application of DAM in the private and public sector. Addresses metadata, workflow, taxonomy, data security, governance, and preservation of digital assets.


Graduate Standing or Instructor Consent.

Classroom Protocols


Students are expected to participate fully in all class activities. It is expected that students will be open-minded and participate fully in discussions in class and debate in a mature and respectful manner. Use of derogatory, condescending, or offensive language including profanity is prohibited. Disagreement is healthy and perfectly acceptable. Expressing disagreement should always include an explanation of your reasoning and, whenever possible, evidence to support your position. In accordance with San José State University's Policies, the Student Code of Conduct, and applicable state and federal laws, discrimination based on gender, gender identity, gender expression, race, nationality, ethnicity, religion, sexual orientation, or disability is prohibited in any form.

Program Information

Course Workload

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 Goals

SLOs and PLOs

This course supports Informatics SLO 3: Demonstrate proficiency in using current big data and electronic records technologies to solve analytical problems; including developing policies, standards, and practices in particular specialized contexts and interpreting and communicating analysis and visualization results appropriately and accurately.

SLO 3 supports the following Informatics Program Learning Outcomes (PLOs):

  • PLO 2 Evaluate, manage, and develop electronic records programs and applications in a specific organizational setting.
  • PLO 3 Demonstrate strong understanding of security and ethics issues related to informatics, user interface, and inter-professional application of informatics in specific fields by designing and implementing appropriate information assurance and ethics and privacy solutions.
  • PLO 6 Conduct informatics analysis and visualization applied to different real-world fields, such as health science and sports.

Course Learning Outcomes (CLOs)

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

  1. Evaluate a collection of different digital media assets to determine their value in their current and long-term roles within an organization.
  2. Analyze and explain how metadata, including descriptive keywords and taxonomies, can be used to organize digital content in a constructive and valuable format for users.
  3. Describe and explain the enterprise content management lifecycle and the features involved (e.g., document management, workflow, imaging, records management, and archiving).

Course Materials


Required Textbooks:

  • Austerberry, D. (2013). Digital asset management (2nd ed.). Focal Press. Available through Amazon: 0240808681.
  • Horodyski, J. (2016). Inform, transform, and outperform: Digital content strategies to optimize your business for growth. Advantage Media Group. Available through Amazon: 1599327554

Course Requirements and Assignments


There will be two projects:

Project #1 (Supports CLO #1, #3)

  • An analysis of a digital video collection to identify issues related to its access, content, format, and eventual repurposing by users, as well as a metadata analysis and organization of the collection.
  • Format will be a 4-page report and metadata fields for the video clips.
  • Due by end of day (EOD) Monday, February 6, 2023

Project #2 (Supports CLO #1, #2, #3)

  • The third project will build upon the experience of the previous two projects and will be to create a project plan for a digital asset management implementation. This project plan will be up to you to decide what the DAM system will be comprised of and what its objectives will be. You will need to determine what the assets would be (i.e. images, videos, graphics, etc.), how many you will use, etc., for this imaginary DAM system.
  • The format will be a 12–14 page report.
  • Due by end of the day (EOD) Monday, March 6, 2023

Course Grading

  • There will be no “extra credits” available for this course.
  • Percentage weight assigned to class assignments:
    1. Discussion Board / Blog Participation - 15%
    2. Unit Readings Summary Brief - 15%
    3. Project #1 - 30%
    4. Project #2 - 40%
  • I will not accept any late assignments. If the assignment is submitted late, then there will be no grade assigned and you will receive "0."

Grading Information

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

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


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 (PDF), relevant university policy concerning all courses, such as student responsibilities, academic integrity, accommodations, dropping and adding, consent for recording of class, etc. and available student services (e.g. learning assistance, counseling, and other resources) are listed on the Syllabus Information web page. Make sure to visit this page to review and be aware of these university policies and resources.

Course Schedule

2023 – Spring - INFM 207-10 - Digital Asset Management (DAM) Schedule

Week 1             - January 9                  - Introductions / Q&A / Course Overview

                                                            - Class Introductions / Getting to know each other.

- Unit 1 - Concepts and Terms

- Reading brief #1 due at EOD, 11:59 PT, January 16, 2023



Week 2             - January 16                 - Unit 2 - Image Collections / Databases

- Reading brief #2 due at EOD, 11:59 PT, January 23, 2023



Week 3             - January 23                 - Unit 3- Metadata

- Reading brief #3 due at EOD, 11:59 PT, January 30, 2023



Week 4             - January 30                 - Unit 4 – Taxonomy

- Reading brief #4 due at EOD, 11:59 PT, February 6, 2023

 Project #1 due at EOD, 11:59 PT, February 6, 2023



Week 5             - February 6                 - Unit 5 – Workflow

- Reading brief #5 due at EOD, 11:59 PT, February 13, 2023



Week 6             - February 13               `- Unit 6 - Project Management



Week 7             - February 20               - Project Work



Week 8             - February 27               - Course Conclusion / What is DAM?

  • What is DAM? Due at EOD, 11:59 PT, March 3, 2023
  • Blog Assignments Due at EOD, 11:59 PT, March 3, 2023


Week 9             - March 6                     - Project #2 due at EOD, 11:59 PT, March 6, 2023