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Topic: What are the characteristics of the bioinformatics community?
- What is the male to female ratio?
- What is the age distribution?
- What is the distribution of marital and family status?
- What is the distribution of educational background?
- What programming lanugages are commonly used?
- How is the bioinformatics community distributed across the world?
- How is the number of bioinformaticians distributed across career levels?
- What is the average bioinformatician salary?
- How happy is the average bioinformatician?
- How often are bioinformaticians required to do wet work?
- How hard are bioinformaticians working?
Topic: What defines a successful career in bioinformatics? Assume We can define
success in terms of the following:
- salary
- satisfaction
- how successful respondent feels
- opportunity to learn new skills
- How does success vary following factors:
- career level
- publications
- grants
- location
- gender
- age
- relationship status
- number of children
- work institution
- weekly hours worked
- years of experience
- level of education
- educational background
- salary
- career level
- satisfaction
- How has success changed in the last three years?
- How much can success be explained in terms of all these factors?
Topic: How important are publications, grants and teaching load?
Data points:
- How does annual salary vary with number of publication?
- How does annual salary vary with number of grants?
- How does annual salary vary with weekly teaching load?
- How does annual salary vary with age?
- How does weekly teaching load vary with number of publications?
- How does weekly teaching load vary with number of grants?
- How does number of publications vary with gender?
- How does number of publications vary with relationship status?
- How does number of publications vary with number of children?
- How does number of publications vary with educational background?
- How does number of grants vary with gender?
- How does number of grants vary with number of children?
- How does number of grants vary with educational background?
Topic: Which are the most common equipment, tools and practices?
Data points:
- Which is the most common programming language in bioinformatics?
- How has programming language usage changed in the last three years?
- How does programming language usage vary with length of career?
- Which programming languages correlate with number of publications?
- Which of the following methods and practices are regularly used?
- source code control
- test driven development
- continuous integration
- command line
- collaborative wikis
- issue tracking
- code reviews
- releasing code as open source
- mutlicore CPU computing
- cluster computing
- cloud computing
- Which are the most popular tools for the following protocols?
- sequence search
- multiple sequence alignment
- phylogenetic tree generation
- genome assembly
- Which websites are regularly used in bioinformatics?
- personal blog
- twitter
- BioStar
- github/bitbucket/etc
- citeulike
- mendeley
- stackoverflow
- other stack exchange site
- How often do bioinformaticians attend conferences and workshops?
- How many conferences and workshops can you expect to attend a year?
Topic: What is the distribution of research areas in bioinformatics?
Data points:
- What is the distribution of research areas in bioinformatics?
- How does annual salary vary with research area?
- Which research areas produce more publications?
- Which research areas result in more grants?
- Which research areas result in larger grants?
- Which research areas vary with teaching load?
- How does research area vary with educational background?
- Do different genders have predispositions to different research areas?
- Which research areas are most satisfying?
- Do programming languages vary with different research areas?
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