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CS 598 Data Curation Syllabus, Study notes of Database Management Systems (DBMS)

University of Illinois - Urbana-ChampaignDatabase Management Systems (DBMS)

A sample syllabus for the course CS 598 Data Curation. The course provides an overview of theoretical and practical problems in data curation, examining issues related to appraisal and selection, long-lived data collections, research lifecycles, workflows, metadata, and legal and intellectual property issues. The syllabus includes course goals and objectives, required readings, and a course outline. The document also includes information on academic integrity and disability accommodations.

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2021/2022

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CS 598 Data Curation
Course Description
Welcome to CS 598 Data Curation! Data curation is the active and on-going management of data
through its lifecycle of interest and usefulness to scholarship, science, and education; curation
activities and policies enable data discovery and retrieval, maintain data quality and add value, and
provide for re-use over time. This course provides an overview of a broad range of theoretical and
practical problems in the emerging field, examining issues related to appraisal and selection, long-
lived data collections, research lifecycles, workflows, metadata, and legal and intellectual property
issues.
Course Goals and Objectives
Upon successful completion of this course, you will be able to:
•Describe the significance of abstraction in data management and the relationships among the
common key data abstraction strategies
•Understand the nature of representation hierarchies and strategies for data transformation and
transcoding
•Explain the process of data derivation and the importance of provenance documentation
•Compare and contrast various data preservation strategies
•Understand the importance of dataset identifiers and citation
•Describe management of heterogeneity, including schema matching techniques
•Explain the role metadata plays in data management and identify a variety of metadata schemes
•Describe common data behaviors of managers, programmers, scientists, and other users
•Summarize the role institutions, agencies, policies, and laws play in data curation
Textbook and Readings
There is no required textbook for this course, but there are weekly required readings that can be
found in each weekly overview page.
Course Outline
This 4-credit hour course is 16 weeks long. You should invest 10-12 hours every week in this
course.
Sample syllabus - students receive the detailed syllabus at the beginning of the semester
enrolled in the class.
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CS 598 Data Curation

Course Description

Welcome to CS 598 Data Curation! Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities and policies enable data discovery and retrieval, maintain data quality and add value, and provide for re-use over time. This course provides an overview of a broad range of theoretical and practical problems in the emerging field, examining issues related to appraisal and selection, long- lived data collections, research lifecycles, workflows, metadata, and legal and intellectual property issues.

Course Goals and Objectives

Upon successful completion of this course, you will be able to:

  • Describe the significance of abstraction in data management and the relationships among the common key data abstraction strategies
  • Understand the nature of representation hierarchies and strategies for data transformation and transcoding
  • Explain the process of data derivation and the importance of provenance documentation
  • Compare and contrast various data preservation strategies
  • Understand the importance of dataset identifiers and citation
  • Describe management of heterogeneity, including schema matching techniques
  • Explain the role metadata plays in data management and identify a variety of metadata schemes
  • Describe common data behaviors of managers, programmers, scientists, and other users
  • Summarize the role institutions, agencies, policies, and laws play in data curation

Textbook and Readings

There is no required textbook for this course, but there are weekly required readings that can be found in each weekly overview page.

Course Outline

This 4-credit hour course is 16 weeks long. You should invest 10-12 hours every week in this course.

Sample syllabus - students receive the detailed syllabus at the beginning of the semester

enrolled in the class.

Week Topics

1 Orientation, Introduction to Data Curation

2 Data Models: Relational Model

3 Trees, Text and Documents

4 Data Models: Ontologies; Schemas; Abstractions; Conceptual Modeling

5 Data Cleaning and Integration; Managing, Processing, and Policy Heterogeneity; Schema Integration

6 Data Concepts; Identity Problems; Ontology for Data Concepts

7 Metadata

8 Preservation

9 Identifiers

10 Standards

11 Workflow, Provenance, and Reproducibility

12 Communication

these exercises. Though you are encouraged to discuss these assignments with your classmates, everyone must submit their own work.

  • Final Project. The course concludes with a final project in lieu of a final exam. It will account for 40% of your final grade. You will also submit your final project for peer review, incorporate that feedback, and submit your final project to the instructor and TAs for grading. For more information about the final project, please read the About the Final Project page in the course orientation.

Grading Distribution and Scale

Grading Distribution

Assignment Percent of the Final Grade

Monthly Exercises 60% (20% each)

Final Project 40%

Grading Scale

Letter

Grade

Percent

Needed

Letter

Grade

Percent

Needed

Letter

Grade

Percent

Needed

A+ 95% B+ 85% C 70%

A 90% B 80% D 60%

A- 88% B- 78% F Below 58%

Student Code and Policies

A student at the University of Illinois at the Urbana-Champaign campus is a member of a University community of which all members have at least the rights and responsibilities common to all citizens, free from institutional censorship; affiliation with the University as a student does not diminish the rights or responsibilities held by a student or any other community member as a citizen of larger communities of the state, the nation, and the world. See the University of Illinois Student Code for more information.

Academic Integrity

All students are expected to abide by the campus regulations on academic integrity found in the Student Code of Conduct. These standards will be enforced and infractions of these rules will not be tolerated in this course. Sharing, copying, or providing any part of a homework solution or code is an infraction of the University’s rules on academic integrity. We will be actively looking for violations of this policy in homework and project submissions. Any violation will be punished as severely as possible with sanctions and penalties typically ranging from a failing grade on this assignment up to a failing grade in the course, including a letter of the offending infraction kept in the student's permanent university record.

Again, a good rule of thumb: Keep every typed word and piece of code your own. If you think you are operating in a gray area, you probably are. If you would like clarification on specifics, please contact the course staff.

Disability Accommodations

Students with learning, physical, or other disabilities requiring assistance should contact the instructor as soon as possible. If you’re unsure if this applies to you or think it may, please contact the instructor and Disability Resources and Educational Services (DRES) as soon as possible. You can contact DRES at 1207 S. Oak Street, Champaign, via phone at (217) 333-1970, or via email at [email protected].