GIS 310 GIS Data Management. Over the last few decades, geospatial technologies have evolved and infiltrated into an exponential number of organizations' and people's lives to the point where they are ubiquitous. Along with this great expansion of use comes an even greater need to access the right data and to manage and utilize it appropriately for each unique project. This course is an introduction to the fundamentals of dealing with spatial data and data management principles. We will explore key topics related to working with spatial data including data discovery, data dissemination and data use. Along with these topics comes the need to discuss ethics of data use and data use guidelines, data formats, standards and translation, metadata, as well as general data management and maintenance principles. The commercial software - FME will be introduced for data manipulation and translation from one format to the other.
Prerequisites: Admission into ADGIS/BGIS program
Accessibility Services Notice
Students who would like an academic accommodation and who have a documented disability should contact Accessibility Services, if they have not already done so.Course Details| Total number of weeks | 15 |
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| Total Credits | |
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| Total Hours | 45 |
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Typical hours per week breakdown| Lecture | 3 |
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Learning Outcomes
Upon successful completion of this course, the learner will be able to:
- Execute data discovery utilizing Canadian open data portals
- Evaluate ethical data use
- Prepare metadata in accordance with specified standards and guidelines
- Generate data translation routines between various input and output formats using FME software
Teaching and Learning Approach
The course will include a mix of theory, discussion, demonstration, assessment of case studies, lab work, guided
application, and independent study.Learning Resources
Required:
Handouts and assigned readings
Recommended:
DiBiase, D., (2014). The Nature of Geographic Information: An Open Geospatial Textbook. https://www.e-
education.psu.edu/natureofgeoinfo/Detailed Course Content, Topics, and Sequence Covered
1. Introduction to Spatial Data Management & GIS Policies, licensing
2. GIS Data Formats, Discovery and Access (Part 1)
3. Data Discovery and Access (Part 2) – data standards and metadata
4. Data quality of open data, public data & VGI
5. Data Discovery and Access (Part 3)
6. Data ethics and privacy considerations
7. Midterm Exam
8. GeoSpatial data standards, guidelines and metadata
9. Technical data translation using FME (part 1)
10. FME, part 1 continued
11. FME (part 2)
12. FME part 2, continued
13. Big data and data mining, data linking
14. Final Assignment/ExamAssessment
| Title | Learning Outcomes | Value |
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| Lab Assignments | 1,2,3,4 | 60% |
| Midterm Test | 1,2,3 | 15% |
| Final Assignment/Exam | 1,2,3,4 | 25% |
| Total | 100% |
Grading Table
Standard Academic and Career Programs Grading Table
| Percentage | Letter Grade | GPA |
| 90-100 | A+ | 4.33 |
| 85-89 | A | 4.00 |
| 80-84 | A- | 3.67 |
| 76-79 | B+ | 3.33 |
| 72-75 | B | 3.00 |
| 68-71 | B- | 2.67 |
| 64-67 | C+ | 2.33 |
| 60-63 | C | 2.00 |
| 55-59 | C- | 1.67 |
| 50-54 | P | 1.00 |
| 0-49 | F | 0.00 |
| | DNW | 0.00 |
See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.
Disclaimer
Information contained in this course outline is correct at the time of publication. Content of the course is revised on an ongoing basis to ensure relevance to changing educational, employment and market needs. The instructor will endeavor to provide notice of changes to students as soon as possible. The instructor reserves the right to add or delete material from courses.