ALPHA / DDI 4 Production Pipeline Details

  • Local data is put into a "raw" common microdata model at each site
  • At each site the common model undergoes a common process
  • In the common process first demographic events are organized into episodes whose data quality is measured
  • Likewise with epidemiological events
  • Next indicators (aggregates) are constructed
  • Finally, finished microdata and indicators are submitted to a central agency that builds cross-site aggregates
  • DDI 4 is used to chronicle these activities 
  • The common process is "blocked out" in line with the GSBPM/GLBPM. Together the blocks form a DataPipeline with preconditions and postcondtions
  • Preconditions and postconditions are microdata and aggregate data where the postcondition(s) of one block are the precondition(s) of another
  • Within each block a sequence of more granular data transformations are described

  File Modified

XML File infusion_metadata.xml

Sept 17, 2018 by Jay Greenfield

File infusion_metadata_validator.xsd

Sept 17, 2018 by Jay Greenfield