2 DataSci Hub survey

6/30/22, 4:20 PM

Data Science Hub Strategy Survey
The National Cancer Institute’s (NCI’s) Center for Biomedical Informatics and Information
Technology (CBIIT) strives to better serve the information needs within the cancer data
science community. Namely, we seek to understand who you are, where and how you get
your cancer data science information, and what kind of content you would find useful. Your
participation in this survey will help us better answer to these questions.
OMB No.: 0925-0766
Expiration Date: 04/30/2023
Public reporting burden for this collection of information is estimated to average 3
minutes per response, including the time for reviewing instructions, searching
existing data sources, gathering and maintaining the data needed, and completing
and reviewing the collection of information. An agency may not conduct or
sponsor, and a person is not required to respond to, a collection of information
unless it displays a currently valid OMB control number. Send comments
regarding this burden estimate or any other aspect of this collection of information,
including suggestions for reducing this burden, to: NIH, Project Clearance Branch,
6705 Rockledge Drive, MSC 7974, Bethesda, MD 20892-7974, ATTN: PRA
(0925- 0766). Do not return the completed form to this address.

What is your highest degree or level of education?
High School
Associate's degree
Bachelor's degree
Master's degree
Doctorate degree

How old are you?

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Qualtrics Survey Software

<18 years
19-24 years
25-34 years
35-54 years
55+ years

What is your occupation/role?
Academic researcher
Career biologist
Bioinformatics/informatician
Clinician
Data scientist
Software/tool developer
Other (please specify)

What industry do you work in?
Academia
Private research
Government
Healthcare
Advocacy
Technology
Other (please specify)

Do you work for the National Cancer Institute? If "yes," please specify the division, office,
or center.
Yes
No

How many years of experience do you have working with cancer data (e.g., genomic,
proteomic, imaging, etc.)?
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0-10 year(s)
11-20 years
21-30 years
31-40 years
40+ years (please specify amount)

How familiar are you with the following data science topics:
Not familiar
at all

Slightly
familiar

Moderately
familiar

Very familiar

Statistical methods
Artificial
Intelligence/Machine
Learning (AI/ML)
Cloud computing (e.g.,
AWS, Google, Azure)
Programming (e.g.,
Python, R, SAS,
STATA, etc.)
Cancer data sharing
and access guidelines
Cancer data semantics
and/or Common Data
Elements

How would you describe your comfort level in adopting new technology?
Not comfortable
Moderately comfortable
Very comfortable

How many years of experience do you have working with data science?
0-10 year(s)
11-20 years
21-30 years
31-40 years
40+ years (please specify amount)

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Extremely
familiar

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Qualtrics Survey Software

Have you visited our website, datascience.cancer.gov?
Never
Once
A few times (2-6 times)
Many times

How did you find this survey?
Email
RSS Feed (e.g., NCI Data Science Updates)
Social Media (e.g., Twitter, LinkedIn)
Other (please specify)

We’d like to hear more from you! If you’d like to participate in a one-on-one, hour-long,
remote interview, please provide your email address. Your email will be used strictly for
communicating to you about this session; it will not be shared.

Yes (please enter email address)
No, thank you

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