Principles of Good Data

Too much bad data

What is data?

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Data can be

• a component of an overall epistemic spectrum of information
• a lower, more raw, unprocessed epistemic level of information
• a term being used as a proxy for the whole DIKW model

What is good?

Good is

• a property of an object or system
• a service, method or process
• actions & events
• intentions, thoughts, judgments
• feelings & sensations
• outcomes

Are there moral facts?

Given the limits of our knowledge of moral facts (should they exist) and in light of colonial and post-colonial data practises (Arora, 2016; Connell, 2007) we progress our project assuming a hybrid moral theory—where some moral facts may be objective (e.g. ‘tolerance’ or ‘openness’) and others are best understood as relative (e.g. Wong, 1984).

Good data principles

Good data is political; measured by the degree to which it is created and used to increase the wellbeing of society, especially to empower the most marginalized and disenfranchised

Data subjects

Communal data sharing

Access to data

Good data

Citizen led data

Integral to democracy

• Online anonymity
• Encryption tools
• Strong information security

open data

'good enough'

Users must be able to

Data is relational

Data collection & use

Measures of fairness

Respect human rights

Data must be

Good data

• published
• revisable
• form useful social capital (where appropriate to do so)

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THANK YOU!
Kate Devitt
@skdevitt
Monique Mann
@DrMoniqueMann
Angela Daly
@nidhalaigh