Data Management

Our data architect translates your research needs into data and systems design and manages data and its flow through the project.

A visual breakdown of the 5 elements of data architecture, with specific example data topics listed for each element

 

Good data management systems:

  • Protect the integrity of raw data
  • Automate basic data processing to save data managers and statisticians time later on
  • Standardize formats for data collected at multiple sites
  • Document processing so everything that happens to data is transparent and reproducible
  • Prevent costly and unnecessary duplication of effort by different team members
  • Facilitate troubleshooting
  • Simplify later merging of data collected in different ways