INFM 206-10
Electronic Records Foundations
Summer 2022 Syllabus

Dr. H. Frank Cervone

Other contact information: You can contact me fastest through e-mail. If you send a message through Canvas, please realize there is an inherent delay in Canvas message delivery, so your message may not be scheduled for delivery until several hours after you actually send the message. 

Office location: Chicago, Online
Office hours: By appointment, send me an e-mail to schedule a one-on-one discussion. General online sessions will be scheduled throughout the semester on Zoom. Consult the course site in Canvas for more information.

Syllabus Links
Program Learning Outcomes (PLOs)
Canvas Login and Tutorials
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Canvas Information: Courses will be available beginning June 1, 2021.

You will be enrolled in Canvas automatically.

Scheduling information: This 3-credit course runs from June 1 – August 5.

Course Description

Principles and methods of managing records and information as operational, legal and historical evidence in electronic environments. Examines the ways in which new information technologies challenge organizations' capacities to define, identify, control, manage, and preserve electronic records and information.

Course Schedule

This schedule and related dates/readings/assignments are tentative and subject to change with fair notice. Any changes will be announced in due time in class and on the course’s web site in the Canvas Learning Management System. The students are obliged to consult the most updated and detailed version of the reading material and syllabus, which will be posted on the course's website.

Please note the two sets of due dates: when your briefing post is due and the module end date by which all work for that module must be completed.

The course begins on a Monday and each week runs from Monday through Sunday. With the exception of the first week, due dates for the brief in each module are due the fifth day (Friday) of each module. Follow up posts as well as the quizzes are due two days later, on day seven of the module (Sunday).





Due Dates


1, 5

Data management: Significance, Challenges, Principles

LSC – Chapters 1 – 3

Brief due - June 5 (Saturday)
Brief responses -  June 6
Quiz -  June 6



Data Ethics

LSC – Chapter 4

Brief - June 10
Brief responses - June 12
Quiz - June 12



Data Governance

LSC – Chapter 5
RSS – Chapters 1 and 2

Brief - June 17
Brief responses - June 19
Quiz -  June 19



Planning and Design in Data Lifecycle Management

LSC – Chapter 6
RSS – Chapters 3 and 4

Brief - June 24
Brief responses - June 26
Quiz - June 26



Enabling and Maintaining Data / Metadata

LSC – Chapters 7 and 10

Brief - July 8
Brief responses - July 10
Quiz - July 10



Privacy, Security, and Risk Management

LSC – Chapter 9
RSS – Chapter 5  
KCS – Chapter 25 (provided in Canvas)

Brief - July 15
Brief responses - July 17
Quiz - July 17



Data Quality Management

LSC – Chapter 11

Brief - July 22
Brief responses - July 24
Quiz - July 24



Strategies and Futures

LSC – Chapters 8 and 12
RSS – Chapter 14

Quiz - July 31
Culminating project - August 5 (Friday)

In the readings column above, LSC refers to the text by Sebastian-Coleman (2018) and RSS refers to the text by Seiner (2014). All other readings referenced will be provided as materials in the Canvas course site.

Policies on assignment submissions and grading

  1. This class follows the standard iSchool Grading Scale
  2. Assignments are due by midnight Pacific Time on the date listed in the course site. 
  3. Course grades are determined by the accumulation of possible points as outlined in the assignment summary section below.
  4. Briefing assignments will not be accepted after the final posting due date. Late briefs submitted after the initial posting deadline will receive a 10% point reduction for each day they are late up to the end of the module week.
  5. All course activities must be completed by the last day of the class.
  6. The only exemption for late work is a medical issue or death in the family. However, all arrangements for late submission must be made at least one day before the due date.

Assignment Summary


Points toward final grade

Culminating project



70 (10 for each quiz)


70 (10 for each brief)
35 (5 for each week’s responses to briefs)

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

Graduate Standing or Instructor Consent

Course Learning Outcomes

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

  1. Summarize health information/records management principles, terms and concepts.
  2. Describe health information/records management nomenclatures, classification systems, and coding standards.
  3. Evaluate the selection, implementation and operation of health information/records management systems and applications.
  4. Explain the legal and ethical concepts and principles that direct the management of personal health information.
  5. Judge and justify the collection, access, analysis and secondary statistical use of quality health data to provide information to management/care teams, government bodies, researchers, and information technology product developers.

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.


Required Textbooks:

  • Sebastian-Coleman, L. (2018). Navigating the labyrinth: An executive guide to data management. Technics Publications. Available through Amazon: 1634623754arrow gif indicating link outside sjsu domain
  • Seiner, R. S. (2014). Non-invasive data governance: The path of least resistance and greatest success. Technics Publications. Available through Amazon: 1935504851.arrow gif indicating link outside sjsu domain

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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