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