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1. Pre-assessment questionnaire [WATERVERSE Project Pilots] : Submission #45
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Información del envío
Número del envío: 45
ID del envío: 530
Submission UUID: 75382ad6-e332-468c-b0e9-1a6792cf0eb7
Submission URI: /es/projects/waterverse/waterverse_pilots_preassessment_submit
Creado: Mié, 24/04/2024 - 14:11
Completado: Mié, 24/04/2024 - 14:14
Modificado: Mié, 24/04/2024 - 14:14
Remote IP address: 94.70.57.73
Enviado por: Anónimo
Idioma: English
Is draft: No
Página actual: Completo
Information and Consent ----------------------- *[WaterVerse Project Pilots] Pre-assessment Questionnaire* *Target responders: *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. ------------------------------------------------------------------------------ The pre-assessment questionnaire requires approximately 10 minutes to be completed. [1] https://public.phoebeinnovations.com/projects/waterverse/information_sheet Statement of Informed Consent ----------------------------- I have read the above statements and I hereby provided my explicit consent.: Sí [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.: Sí Name and Date ------------- Full name:: Lydia Vamvakeridou-Lyroudia Date of consent:: 2024-04-24 Profile of participant ---------------------- Pilot site/country: Germany Affiliated Organisation: KWR Water Research, Netherlands Type of affiliated organisation:: Research Centre Email [optional]:: lydia.vamvakeridou-lyroudia@kwrwater.nl Telephone [optional]:: 0651352246 Additional profile information ------------------------------ 6. Education level:: Post-Graduate (Master / PhD) 7. During my studies I have completed courses relevant to any of the below:: Data analysis, Software development, IoT 8. I have professional experience in the subjects below:: Data analysis, Data management, Software development, IoT, Machine learning 9. Years of professional experience in the water sector:: > 12 10. I am currently working in a water organisation:: No Please, respond to the questions below using the scale: 1 = not at all, 2 = a little bit, 3 = quite enough, 4 = very. --------------------------------------------------------------------------------------------------------------------- 11. I am fully aware of the terms “data management” and “data analysis”.: 4 12. I am aware of WATERVERSE and the relevant tools.: 4 13. I am aware of the data harmonization needs.: 4 14. I am aware of the data anonymization needs.: 4 15. I am aware of data cleaning needs.: 4 16. I am familiar with digital twins.: 4 17. I have used tools similar to the ones offered by WATERVERSE in water or in other domains/applications:: Yes 18. I am interested in this pilot exercise because:: I want to be an expert in water data spaces to support projects of my organisation. 19. What I hope to learn and take away from this pilot is:: To see how WDME can be implemented for this pilot. Specifically I am interested in the implementation combined with other tools, e.g. the flood modelling tool