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# System prepended metadata

title: Team exercises

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# Team exercises

### The Alan Turing Institute RDS course 



### Module 1 
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### Notes: "Data is the new oil" exercise 


### Break-out room 1
How is data ‘extracted’? Is it fair to treat it as a free resource?

What are the assumptions built into extractions? 
- Too simple a way to put it as lots of work goes into generation

Personal data + consent to it even being collected (e.g., medical data)

Once accessed  , is it what was expected/agreed upon?


### Break-out room 2
Where does data come from and is it a free resource?
* Perhaps the comparison with oil is not appropriate - idea of the commons with data sharing vs. with oil
* A parallel of exploitation - we are a resource for data
* Many projects are high-risk/high-reward and using datasets is not a zero-sum game. 



### Break-out room 3



### Break-out room 4

Not a free resource. In academia specifically there is this focus on an exchange of data for ++ publications.

### Break-out room 5

#### Where does this data come from?

- People (is it willingly given, or is it created by default? leaving residue of our actions behind)

#### Is data a free resource?

- Not exactly free, usually given in exchange for a service
- Though there are free and open sources of data and datasets;
- Commercial services might treat it as a free resource (or collecting it in exchange for a service), but then assume ownership

### How is data extracted?
- Maybe through web scrappers or data mining methods.
### Break-out room 6
- Agree generally with the characterisation of "data is the new oil"
- Potential unintended consequences of oil extraction a metaphor for the consequences of data extraction (problems arise a long time after extraction, like climate change linked to fossil fuel extraction)
- The consequences of data extraction are realised at the present too... in relation to the energy consumption linked to training large-scale language models (equivalent to a car's carbon emission in 10 years)

### Break-out room 7






