Imam Muhammad ibn Saud Islamic University

College of Computer and Information Sciences

Department of Information Studies

 

Course description


  201- Metadata


Textbook

Objectives

Class organization

Course Outline:

Assignments

Grading

Instructors:
Ali Alshowaish, PhD.
ali@alshowaish.com


1432 -2011


 

 Course Description:

     The goal of this course is to enable students to understand the principles, standards, and tools of Metadata. Metadata can be used to facilitate resource discovery, to document the contents of databases, and to track the of resources in a collection. Given the increasing number of schemes available for representing resources, effective development and application of metadata requires familiarity with the fundamental principles and structural models of metadata as well as particular schemes developed both for specific communities of resource users and for specific collections of resources. It is important for information professionals to appreciate the role of metadata in the administration of digital resources, in the provision of security, in the process of data mining, and in e-commerce.
      This course is intended to introduce students to principles underlying the development and implementation of metadata schemes; to issues of interoperability, standardization, and the evaluation of metadata schemes; and to the role of metadata registries and crosswalks. The class is designed to provide extensive opportunities for hands-on application of metadata principles and practices in the development, implementation and evaluation of metadata records.

 

Textbooks:

There is no required textbook for this class, However there are several useful books that we will be using (see the list below). Additional reading materials will be assigned during the course. Required readings are subject to amendment by the instructor.

Liu, J. (2007). Metadata and its applications in the digital library: Approaches and practices. Westport, Conn: Libraries Unlimited.

Baca, M. (2008). Introduction to metadata. Los Angeles, CA: Getty Research Institute
Intner, S. S., Lazinger, S. S., & Weihs, J. R. (2006). Metadata and its impact on libraries. Library and information science text series. Westport, Conn: Libraries Unlimited.

 


Objectives:

At completion of the course, a student should:

  1. understand the function of metadata in the administration, organization and discovery of resources
    and its potential for data mining, security, and e-commerce;
  2. be aware of a range of metadata schemes developed for various disciplinary and commercial
    communities;
  3. appreciate the utility of syntactical standards and the need for semantic models that support
    interoperability across metadata structures;
  4. have the knowledge and skills necessary to design and implement a new metadata scheme; and
  5. have developed a set of criteria for evaluating existing metadata structures.

Class organization:      

Each session will include lectures with PowerPoint presentations and class discussions as well as in-class activities and review of out-of class exercises, when appropriate.

Class participation:
Because learning is an active process, each student will be expected to contribute in class activities. Class participation will constitute 10% of each student's final grade and will be evaluated on the basis of attendance, preparation, and participation in discussions and other class activities.

Late Policy:
All assignments must be turned in on time. Late assignments are strongly discouraged. If late work can not be submitted, you should communicate with your instructor about the circumstances. When a late assignment is accepted, it is understood that its grade usually will be lowered.

 


Course Outline:

(To be added  frequently later)

 


Assignments:

(To be done individually unless otherwise indicated)
  • At least one contribution per unit to discussion board
  • Assignment #1: HTML Coding.


Grading:

The student's final course grade will be computed on the basis of grades assigned for class participation, practical exercises, and a final exam.  Final course evaluation will be computed according to the following distribution:

10% Class Participation & attendance.
20% Assignments (exercises)
20% Midterm Exam
50% Final Exam
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100%