Module 1 - Lesson 4: Sampling, data distribution, and secure data custody

[turukawa]

ETHICS

Acknowledge the privacy and confidentiality issues in data storage and security of personal data.

Consider issues in data loss, responsibility, and whether the risk from data loss outweighs the research value of collecting it.
Example: ICE and DACA deportation, National Immigration Law Centre, HIV and social stigma … cf “My daughter refused medicine because of stigma”.

CURATION

Recognise responsibilities and mechanisms for securing data-at-rest and data-in-motion.

Data storage requires recognition of responsibilities for securing that data, including encryption and auth ‘n auth. This is true for owners, users, and intermediaries (chain of custody).
Methods for securing and authentication with storage.

ANALYSIS

Apply linear and continuous sampling methods to assess normal distributions.

Linear and continuous probability; normal distribution and standardisation.
Some Bayes.

PRESENTATION

Plot distributions as normal histograms and continuous curves.

Applying previously learned charts, and learning how to present normal distributions.

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CASE STUDY

Birthweight should follow a normal distribution; also raises personal data security issues since birth certificates must be secured indefinitely but used continuously.