meta data for this page
Definition of Big Data
In Big Data the data amounts are usually relatively large, maybe even constantly growing or changing, and the amount of data is often so large, that it is hard to work with using current technologies. The physical size of data isn't the only defining character, amount of data can be relative, so that datasets that aren't large in storage space, can be big data due to such data never before being available in such amounts.
Critical questions for Big Data, Boyd & Crawford, 2011, Information, Communication & Society Volume 15, Issue 5, 2012 Special Issue: A decade in Internet time: the dynamics of the Internet and society
Ethics in big data
Describe the 3 main actors and their relationships in big data ecosystem.
- Question is about data/data owners, ideas/innovators, expertise/data scientists. Idea would be that person would understand to changing dynamics and roles of each of these three. How they all have a role in utilizing big data and how they are dependant on each other, but can be different entities like companies.
Explain why the value of data is difficult to estimate, and how that value can change.
- Idea is that student would understand and explain how data can have unseen secondary uses, how it can have different value for different entities, and how data can gain or lose value over time, either by coming outdate or by new technologies coming up and giving value to old data.
What kind of advantages do large companies have over smaller companies, when developing new killer apps?
- Point is to show understanding that not just startups can innovate, but that large companies have some advantages such as time and money.
How to and why to control the innovation development process?
- List methods on how to monitor and evaluate the killer app during its development, like periodical reviews, prototyping, playing out doomsday scenarios. Understand the reasons for using these methods.