HIVK03432U Open Data Science, Elective module
Information Science and Cultural Communication, the 2016 Curriculum
The course is designed to introduce the students to the Science of Open Data. Open Data is when data is published by a government, individual, organization, or business; outside a firewall, in open standard formats that are human and machine readable, for anyone to download and use, for any purpose without permission or restriction.
During this course we will explore the recent history of Open Data, its political and economic impact, technical evolution and standards, publishing Supply and Demand, organizational uses and challenges. We evaluate the organizational challenges and solutions, and the unintended consequences of widespread data dissemination on economic enfranchisement, social inclusion, and political power. We will explore current Open Data use cases from professionals in government and business, Data Quality and Comparability, license terms, and Security and Privacy implications. Students will setup and manage Open Data portals, and use rapid prototyping methodologies to develop Open Data solutions.
Competence objectives for the module
The objective of the module is to provide the student with
knowledge and understanding of:
- A specific subject within library and information science.
- Relevant theories and methods related to the module's theme.
- Identifying and outlining academic issues within library and information science and make these the object of independent analysis.
- Reflecting critically on theoretical and methodological choices in relation to an academic issue.
- Expanding on and putting a chosen subject field within library and information science into perspective.
- Applying relevant theories and methods to a subject within library and information science.
- Communicating a scientifically studied issue
The examinee is able to
- Delimit and deal with and issue within library and information science.
- Give an account of central theories of relevance to the chosen subject independently and at a level that reflects in-depth knowledge and understanding of the subject's scientific methods.
- Consider own theoretical and methodological choices critically.
- Communicate a scientifically studied issue.
Examples of literature that will be used in the course:
- Brett Goldstein and Laura Dyson. (2013). Beyond Transparency: Open Data and the Future of Civic Innovation. 316 pages
- Daniel Lathrop. (2010). Open Government: Collaboration, Transparency, and Participation in Practice. 432 pages
- W3C Working Group. Data on the Web Best Practices, Data Quality Vocabulary, Data Usage Vocabulary. http://www.w3.org/2013/dwbp/wiki/Main_Page
- UK Cabinet Office. Open Data: unleashing the potential. Five White Papers. 2012
Students will work in groups to setup an Open Data Portal to solve problems identified in class lectures and discussions. Each student will write a paper describing the portal, the data, target audience, and expected impact.
- 7,5 ECTS
- Type of assessment
- Course participationExamination language: English
Course participation under invigilation
Active participation implies presence in min. 80% of the lectures and fulfillment of the requirements for the course in form of presentations and papers during the course.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
- Exam period
Winter exam 2017
February 2018: Written take-home assignment, Set subject. Extent 8-10 standard pages. the students have five days to complete the assignment.
- Class Instruction
- Exam Preparation