AHIC Data Life Cycle - Flashcards

Flashcards covering the core stages of the data life cycle, key concepts, and examples from the AHIC lecture.

What are the core stages of the data life cycle as defined by the National Library of Medicine?

Concept, Collection, Processing, Archiving, Distribution, Discovery, Analysis, and Repurposing.

What is the Repurposing stage?

It feeds data back to the Processing stage, creating a continual cycle in the data life cycle.

What happens during the Concept stage?

A defined data need; development of the study concept or research questions/hypotheses that require evidence.

What happens during the Collection stage?

Gathering data via instruments (forms, observations, measurements, surveys, interviews); can be passive or active; manual, semi-automated, or automated.

What is the Processing stage?

Transforming collected data so they are suitable for distribution and analysis; includes cleaning, wrangling, formatting, compression, and encryption.

What is Archiving in the data life cycle?

Storing data in a long-term archive or registry for future reference.

What is Distribution in the data life cycle?

Storing data in a registry or database where others can access them for discovery and use.

What is Discovery in the data life cycle?

Understanding and exploring data; often involves descriptive statistics like mean and median.

What is Analysis in the data life cycle?

Drawing conclusions from data; may involve statistical tests or building models to assess effects.

How do Repurposing and Processing interact?

Repurposing feeds data back into Processing to create reprocessed data for further discovery and reuse.

Why is Processing considered a key stage?

It makes collected data usable for Discovery and enables the cycle by producing repurposed data for further analysis.

Which activity is NOT part of the data life cycle?

Management.