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Water Data Management Ecosystem for Water Data Spaces

Water Data Management Ecosystem for Water Data Spaces
水数据空间的水数据管理生态系统
批准号:
10057186
负责人:
金额:
$18.98万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
The WATERVERSE mission is to develop a Water Data Management Ecosystem (WDME) for making data management practices and resources in the water sector accessible, affordable, secure, fair, and easy to use, improving usability of data and the interoperability of data-intensive processes, thus lowering the entry barrier to data spaces, enhancing the resilience of water utilities and boosting the perceived value of data and therefore the market opportunities behind it. WATERVERSE takes a holistic, interdisciplinary approach in the water domain, blending together complementary competencies of 17 partners located in 10 EU countries, representing the water domain with Research organisations (including social sciences experts), water utilities, water domain technology providers and innovation companies, as well as the technical community that is driving the development of data spaces, thus increasing the resilience of the water sector and water utilities, as a whole. The project will: (a) Actively engage end-users and stakeholders to assess the main gaps and challenges the water sector must overcome to effectively be part of and contribute to quality European data spaces; (b) Identify, extend, and integrate a wide set of data management tools to implement the WDME, based on FIWARE (www.fiware.org) Building Blocks and comprising tools and methods to ensure security and energy efficiency of the whole WDME; (c) Setup and demonstrate the WATERVERSE WDME in real environment with relevant and diverse case studies involving water sector stakeholders from 6 countries (Cyprus, Spain, Germany, the Netherlands, Finland, United Kingdom); (d) Set clear and measurable indicators for assessing FAIRness of data in water-related data spaces; (e) Ensure the viability and sustainability of the WATERVERSE WDME, as well as its replicability, scalability and business applicability.
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海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: