INFM 207-10 (2-Units)
DAM-Digital Asset Management
Summer 2022 Syllabus
Program Learning Outcomes (PLOs)
Canvas Login and Tutorials
Canvas Information: This two-unit course runs from June 1, 2022 - July 27, 2022. The class will be available on Canvas on June 1, 2022 at 6 am PT. Grades will be posted at the end of the semester.
You will be enrolled in the Canvas site automatically.
This course is designed to introduce students to the fundamental concepts, terminology, practice, and application of digital asset management in the public and private sectors. It will feature discussions on metadata, workflow, taxonomy, data security, and preservation of digital assets.
This course will include participation via the Canvas Site.
In addition to the required textbooks, periodical articles and websites will also be available through the King Library and the web.
DAM Reading Briefs
There will be readings assigned for five (5) of the units with a one (1) page summary briefs required.
There will be ongoing online participation on the INFM 207 SJSU Canvas Discussion Forum.
Blogs to follow (RSS feeds preferable):
Follow the blogs listed below, preferably using RSS feeds. Over the course of the semester, please comment on three posts from three separate blogs by submitting a paragraph of 100-250 words to the Canvas Discussion Board. Be prepared to comment about the posting. Copy and paste the original posting on the assignment and be sure to include your name, date, and “blog comment assignment” with the title of the blog in the upper left corner of the page. Some great blogs to check out are as follows:
What is DAM
A one (1) sentence description on what DAM means to you. At the end of the semester after you have read, studied, learned all about DAM, I would like you to tell me what it means to you.
2022 – Summer - INFM 207-10 - Digital Asset Management (DAM) Schedule
Week 1 - June 1 - 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 PDT, June 8, 2022
Week 2 - June 8 - Unit 2 - Image Collections / Databases
- Reading brief #2 due at EOD, 11:59 PDT, June 15, 2022
Week 3 - June 15 - Unit 3- Metadata
- Reading brief #3 due at EOD, 11:59 PDT, June 22, 2022
Week 4 - June 22 - Unit 4 – Taxonomy
- Reading brief #4 due at EOD, 11:59 PDT, June 29, 2022
- Project #1 due at EOD, 11:59 PDT, June 29, 2022
Week 5 - June 29 - Unit 5 – Workflow
- Reading brief #5 due at EOD, 11:59 PDT, July 6, 2022
Week 6 - July 6 - Unit 6 - Project Management
Week 7 - July 13 - Project Work
Week 8 - July 20 - Course Conclusion / What is DAM?
- What is DAM? Due at EOD, 11:59 PDT, July 22, 2022
- Blog Assignments Due at EOD, 11:59 PDT, July 22, 2022
Week 9 - July 27 - Project #2 due at EOD, 11:59 PDT, July 27, 2022
There will be two projects:
- 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) Wednesday, June 29, 2022
- 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) Wednesday, July 27, 2022
- There will be no “extra credits” available for this course.
- Percentage weight assigned to class assignments:
- Discussion Board / Blog Participation - 15%
- Unit Readings Summary Brief - 15%
- Project #1 - 30%
- 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.”
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.
Graduate Standing or Instructor Consent.
Course Learning Outcomes
Upon successful completion of the course, students will be able to:
- Evaluate a collection of different digital media assets to determine their value in their current and long-term roles within an organization.
- 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.
- Describe and explain the enterprise content management lifecycle and the features involved (e.g., document management, workflow, imaging, records management, and archiving).
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.
- Horodyski, J. (2016). Inform, transform, and outperform: Digital content strategies to optimize your business for growth. Advantage Media Group. Available through Amazon: 1599327554.
- Austerberry, D. (2013). Digital asset management (2nd ed.). Focal Press. Available through Amazon: 0240808681.
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|
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).
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: https://www.sjsu.edu/curriculum/courses/syllabus-info.php. 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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