1. Pre-assessment questionnaire [WATERVERSE Project Pilots - 2] : Eingabe #29

Eingabennummer: 29
Eingaben-ID: 1778
UUID der Webformular-Eingabe: d918f557-c453-4a80-b8c3-39f6e192db2d

Erstellt: Fr., 25.07.2025 - 16:35
Abgeschlossen: Fr., 25.07.2025 - 16:43
Geändert: Fr., 25.07.2025 - 16:43

Remote-IP-Adresse: 80.194.73.226
Erstellt von: Gast
Sprache: English

Ist Entwurf: Nein
Aktuelle Seite: Vollständig
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. Nein
Full name: Aska Othmani
Date of consent: 2025-07-25
Pilot site/country United Kingdom
Affiliated Organisation south west water
Type of affiliated organisation: Water utility
Email [optional]: aothmani@southwestwater.co.uk
Telephone [optional]:
6. Education level: Graduate (University)
7. During my studies I have completed courses relevant to any of the below: Software platforms, Data storage, Data management, Software development, APIs
8. I have professional experience in the subjects below: Data analysis
9. Years of professional experience in the water sector: 2 – 5
10. I am currently working in a water organisation: Yes
11. I am fully aware of the terms “data management” and “data analysis”. 3
12. I am aware of WATERVERSE and the relevant tools. 3
13. I am aware of the data harmonization needs. 3
14. I am aware of the data anonymization needs. 3
15. I am aware of data cleaning needs. 3
16. I am familiar with digital twins. 2
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 able to use relevant tools in my work environment., I want to learn new things about emerging technologies related to my work., 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: What are the most current approaches to data management, and what best practices ensure secure data sharing to support research and problem-solving

Funding Support Agencies

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CY structural funds
CY Research and Innovation Foundation