Survey on the use of dataquieR

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Survey on the use of dataquieR

With this short survey, we would like to hear about your experiences using dataquieR to create data quality reports. We are especially interested in what you like and what we can do better. Your feedback will help us tailor dataquieR to better meet user needs.

The first five questions relate to your usage context. These are followed by five questions about your overall assessment of dataquieR.

We would like to thank you in advance for your participation. Your feedback will help us to further develop dataquieR.

This survey was designed by the dataquieR team: C.O. Schmidt, E. Salogni, E. Kasbohm, S. Struckmann.

1. What is your level of experience with dataquieR?

Please select one of the following answers:

Beginner, I have little or no experience with dataquieR

Advanced, I am familiar with the main functions of dataquieR

Expert, I am thoroughly familiar with the analysis options offered by dataquieR

Clear selection

2. How often do you use dataquieR?

Please select one of the following answers:

Regularly (I use it in ongoing projects or for routine data checks)

Occasionally (I use it for specific questions or one-off projects)

Rarely (I only use it for testing purposes or individual modules)

Not yet (I have only tried it, but I have not used it in practice)

Clear selection

3. What version of dataquieR do your answers refer to?

Please specify the version number.

4. For which data sets do you use dataquieR?

(Multiple selections possible)

Cohort studies

Clinical studies

Registry data

Routine data / electronic health records

Other:

5. In what role do you primarily use dataquieR?

Please select one of the following answers:

Data manager

Biostatistician/data scientist

Specialist scientist

Computer scientist

Student

Other:

Clear selection

6. What do you like about dataquieR?

7. What should be improved about dataquieR?

8. What features would you like to see added to dataquieR?

9. How would you rate dataquieR overall?

Please select one of the following answers:

Very good

Good

Neutral

Poor

Very poor

Clear selection

10. Would you recommend dataquieR to colleagues?

Please select one of the following answers:

Very likely

Likely

Neutral

Unlikely

Very unlikely

Clear selection

11. If we can contact you with follow-up questions about your answers, please provide your name and email address below.

Note: By providing your information, you consent to your name and email address being stored and used exclusively for the purpose of contacting you about your survey responses.

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