4. Post-evaluation questionnaire [WATERVERSE Project Pilots]: Inzending #22

Information and Consent
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*[WATERVERSE Project Pilots] Post-evaluation Questionnaire*
 

*Target responders: *All WATERVERSE Pilot Participants

Please, read the Participant Information Sheet [1] and provide your explicit 
consent below before moving to the pilot participation and feedback 
provision.

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The pre-assessment questionnaire requires approximately 10 minutes to be 
completed.

 


[1] https://public.phoebeinnovations.com/projects/waterverse/information_sheet
Statement of Informed Consent
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I have read the above statements and I hereby provided my explicit consent.: Ja
[Optional] I agree that my personal data can be used for contacting me in the context of inviting me in future events of interest, related to the WATERVERSE.: Ja

Name and Date
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Full name:: Gerasimos Antzoulatos
Date of consent:: 1974-09-10


Profile of participant
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Pilot site/country: Netherlands
Affiliated Organisation: CERTH
Type of affiliated organisation:: Research Centre
Email [optional]:: gantzoulatos@iti.gr
Telephone [optional]:: +306938322543

Post-pilot feedback
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Please, respond to the questions below using the scale: 1 = not at all, 2 = a little bit, 3 = quite enough, 4 = very.
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1. The pilot exercises were enjoyable.: 4
2. The pilot scenarios were easy to follow.: 4
3. The pilot scenarios were interesting to follow.: 4
4. I would like to participate again in a project like this.: 4
5. I had the opportunity to get guidance and training during the pilots.: 4
6. I have achieved the objectives that I set for my participation to the pilot exercise.: 4
7. I am satisfied with the opportunities provided to me.: 4
8. I believe that the knowledge and skill I acquired will improve my work performance.: 4
9. I would like to further my knowledge and skills related to the WATERVERSE WDME use.: 4
10. I would like to use the WATERVERSE WDME in my everyday work.: 3
Please, explain how...:
Collect data from heterogeneous sources, harmonised them based on standards and Smart Data Models and make them interoperable to other applications, such as prediction models.