Competency information

Details

Conduct data handling and data management.

Considerations

  • How to manipulate, manage and quality assure data within a data set:
    • variables – types, numeric formats, decimals, date and time, string
    • getting data into and out of programmes
    • documentation commands – labels
    • calculations – generate and replace, recoding, checking correctness, missing data
    • data structure – selecting observations and variables, renaming and reordering, sorting, collapsing data, combining files
    • folders, filenames, variable names, error prevention.
  • How to assure data quality:
    • completeness, accuracy, validity, accuracy, timeliness, consistency
    • data validation
    • data dictionaries, standards and coding.

Relevant learning outcomes

# Outcome
# 3 Outcome Collate and manage the data and prepare the data set for analysis.