| Catergory | Respondent quotes |
|---|
| Not enough time / Too much work | - Too much on my plate on a daily basis!
- Not enough time or the right circumstances.
- lots of wet lab stuff
- Lab works sometimes don't allow me dedicate the time.
- Too many meetings :)
- Too much work to do
- possible conflicting meetings.. it would be nice to have a recorded webinar
- I am currently in the 3d year of no sleep, with 2.5-year and 7-month old little girls. I would say this is the largest factor, and I'm sure no further explanation is needed.
- JIRA tickets
- My ever-growing TODO list
- overwork
- workload
- Staffing/production priorities
- Too much work to do
- Just busy
- having to write a manuscript for months that nobody can agree on the "perfect" language for, but probably nobody will read it anyway
- Workload. Lack of opportunity to practice the skills in my workloads.
|
| Setting aside time / Not a priority | - workload bleeding into dedicated time, which is why workshops or classes would enforce time away from trying to do other work.
- Setting aside time
- Main assignments at JGI are not data analysis, limited time allocation for learning data science, e.g. on my way home an from home and during breaks
- other things to learn
|
| Support for learning or using skills | - The support from my supervisor.
- Workload. Lack of opportunity to practice the skills in my workloads.
|
| Learning content | - Some of the talks and workshops at JGI are too advanced for me; I have shied away from office hours because I'm a beginner and feel a little intimidated
- If the program is more theoretical than hands-on. It should have a balance between theory and application.
|
| Other | - If I plan to return to school for a higher degree next year.
|
