I am a PhD student. In essense, this role embodies self development in gaining knowledge and contribution in producing knowledge. There are varied ways to achieving these, but if one had values that are impossible to change or talents that better being preserved, one should formalize the ways accordingly. One should also bear in mind his or her personalized weakness, and see to improve them.
With my self-identity, I would like to develop myself in
- Know about data and science
- Respect data and science
- Know about concepts and relations between concepts
- Learn about the means to questions
- Practice the acquired knowledge that are deemed as good practice
- Learn from as many peers and experts as possible
The reality is that many peaple put ego before science as their instinct act. There are strategies to resolve this. For example, be patient and give a second thought. Or ackownledge and find a way that covers both ego and science.
Another reality is that “relationships” are out-towards, i.e., at this interface it’s about a student’s contribution. So in the following section, I will touch about with which kind of working relationships that I can contribute properly.
work, and colleague conflicts
Colleagues’ conficts are actually not common, but it will happen when the boss plans it so. The boss puts two colleagues as “equal” leaders in projects, and the two are not speaking the same language, or devoting to the same level.
Bioinformaticians has their specialist and profession, that they needs to do research, and work, to a deep extend, that’s paramount to 40 hours a week, at least. When an outsider, who is stubborn with unprofessional ideas, and did not do the same amount of research, being tough and asking for things as he or she imagines, it’s a conflict. And the boss, after long time discussing with the stubborn and tough one, will ressort to the soft one to yield. This will end up with the wrong direction of the project, and it shows no respect to the hard work of the bioinformatician.
work report
Work reports should be clear with the detailed methods used, so that the discussion can be effective, and process can be controlled and debugged. Work reports are not for showing the amount of work done. The clear methods used are clarification of the concepts, so that repeated concepts can be easily followed by listenters.
Study design and data generating
The study design not involving bioinformatician, or the work in generating the data not reported to bioinformatician, such a project is doomed.
