Curating Data, Research & Development Area

Christoffer Bjerre

Definitions

To carefully choose, arrange and present data

Big Data

Collection of large amounts of data, which can be complex to analyze and create meaning from.

Critical subjects for Big Data:

- Big Data changes the definition of knowledge
- Claims to objectivity and accuracy are misleading
- Bigger Data are now always better data
- Out context, big data loses its meaning
- Just because it is accessible does not make it ethical
- Limited access to big data creates new digtal divides

Personal reflections, perspectives and interpretations:

No such thing as "Raw Data"

- Data is biased by the creator

Presentation of knowledge/data influences understanding

- Sign of the times heavily influences the way we understand certain knowledge.

Data is not given, it is taken.

- It is biased by the 'creator/taker' and can be intepreted and analysed differently compated to a subjects prejudices and paradigm (i.e. way of thinking).

Can a better conceptualisation of data and tools to analyse it inspire a paradigm shift?

Open Linked Data

Limited access to data creates divides:
What are the results of this?

- Ethical questions of who owns the internet and the accompanying data? Big corporations, known as Big Tech, such as Facebook and Google own big parts of the internet and the data that follows.

- Is it time to democratize the internet and give it back to consumers?

- Access and ownership of data and the internet creates divides about legal and ethical subjects.

Big Tech

Digitization / digitalization

The process of transfering something from analogue to digital
/
The way social life, culture, science and business are reconfigured around technology

Data is information and not just a sequence of numbers.
Can be a collection of colors, which are organised with the purpose of generating information and knowledge from the data.