HIVK03139U Kbh: Open Data Science, Elective module

Volume 2016/2017

Informationsvidenskab og kulturformidling


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.

Learning Outcome

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.


skills in:

  • 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.


competences in:

  • Applying relevant theories and methods to a subject within library and information science.
  • Communicating a scientifically studied issue


Academic objectives

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:/​/​​2013/​dwbp/​wiki/​Main_Page
  • UK Cabinet Office.  Open Data: unleashing the potential.  Five White Papers. 2012
Class lectures, guest lectures, class discussions, group work, student presentations and individual work.
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.
  • Category
  • Hours
  • Class Instruction
  • 22,5
  • Exam
  • 15
  • Exam Preparation
  • 167,9
  • Total
  • 205,4
7,5 ECTS
Type of assessment
Course participation
Examination 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 2016


Written 7-day take-home assignment, defined subject. February 2017