1. Resourcing data management | |
a. Perceived value of data | |
b. Time constraints | |
c. Lack of dedicated role | |
d. Need for multidisciplinary involvement | |
e. Importance of a data champion | |
2. Need for incentives | |
3. The quality of software packages | |
a. Coding issues | |
b. Software limitations | |
4. Information technology skills | |
a. Impact of staff age | |
b. Turnover of staff | |
5. Lessons learnt | |
a. Reflection on practice | |
b. Ongoing nature of data collection |