Stages of Data Life Cycle

PLAN — what kind of data is needed.

CAPTURE — collected from different sources

MANAGE — how to care for data

ANALYZE — use to solve problems

ARCHIVE — store in a place / not used again

DESTROY — remove data from storage

Not to confuse with the SIX STAGES OF DATA ANALYSIS

• ASK - defines the problem, understand stakeholders expectations

• PREPARE - indentify and locate data you can use to answer your questions.

• PROCESS - find and elimate errors

• ANALYZE - turn data youve gathered into actioable information

• SHARE - visualization with graphs, etc that the stakeholder can understand

• ACT - preparing for jobn

DATA LIFE CYCLE — provides generic / common framework for how data is managed

US FISH & WILDLIFE

• PLAN

• ACQUIRE

• MAINTAIN

• ACCESS

• EVALUATE

• ARCHIVE

US GEOLOGICAL SERVICES

• PLAN

• ACQUIRE

• PROCESS

• ANALYZE

• PRESERVE

• PUBLISH / SHARE

  • OTHER OVERARCHIVING METHODS INCLUDE

    • DESCRIBE

    • MANAGE QUALITY

    • BACKUP & SECURE

FINANCIAL INSTITUIONS

• CAPTURE

• QUALIFY

• TRANSFORM

• UTILIZE

• REPORT

• ARCHIVE

• PURGE

HARVARD BUSINESS SCHOOL

• GENERATION

• COLLECTION

• PROCESSING

• STORAGE

• MANAGEMENT

• ANALYSIS

• VISUALIZATION

• INTERPRETATION