dc-pre-survey

gistfile1.txt

3. Please select the workshop you are attending. Events are listed in chronological order.
 
4. Will this be your first time attending a Data Carpentry workshop (as a learner)?
 
5. Which of the following describes your current status?
    Undergraduate student
    Graduate Student
    Post-doc
    Faculty
    Industry
    Staff
    Other (please specify)
 
6. Are you age 18 or above?
    Yes
    No
 
7. Your department or division (e.g. Microbiology and Molecular Genetics, Environmental Engineering, Sociology, etc):
 
8. Your research discipline
    Administration
    Brain and neurosciencse
    Chemistry
    Computer science and electrical engineering
    Earth sciences (geology, oceanography, meterorology)
    Economics
    Engineering (civil, mechanical, chemical)
    Humanities
    Life science (biology, genetics)
    Life science (ecology, zoology, botany)
    Medicine
    Physics
    Public health
    Statistics
    Space sciences
    Tech support, lab tech, or support programmer
    Other (please specify)
 
9. In three sentences or less, please describe your current field of work or research question.
 
10. What operating system in on the computer you are bringing to the workshop?
    Apple OS
    Linux
    Windows
    Not sure
 
11. Will you be attending the workshop with colleagues, friends, or classmates?
    Yes
    No
    Not sure
 
12. How often to you currently use programming languages (R, Python, etc.) or databases (Access, SQL, etc.)?
    I have never programmed
    Less than once a year
    Several times a year
    Monthly
    Weekly
    Daily
    Not sure
 
13. What tools do you frequently use to manage and/or analyze data? Check all that apply.
    Excel or other spreadsheet program
    FileMaker Pro or Microsoft Access
    SQL
    R
    Python
    MATLAB
    Open Refine
    the command line (shell)
    Not sure
    Other (please specify)
 
14. Do you currently have a dataset that you would like to analyze?
    Yes, and I've already done a fair bit of analysis.
    Yes, I have data but I haven't started analyzing it yet.
    I am working on generating data.
    I do not have data yet.
 
15. Please enter your level of satisfaction with your current:
    Data management strategy (Very unsatisfied - very satisfied)
    Data analysis workflow (Very unsatisfied - very satisfied)
 
16. Please rate your level of agreement with the following statements:
    Data organization is a fundamental component of effective and reproducible research.
    Using a scripting language like R or Python can ultimately improve my analysis efficiency
    Using R or Python makes analyses easier to reproduce
    A value of using SQL, R or Python is that the underlying data cannot accidentally be changed
 
17. Please share what you most hope to learn from attending this workshop.
 
18. Does this workshop take place in the United States?