课题基金 / 基金详情

NC Data Service

NC Data Service
数控数据服务
批准号:
NE/S002375/1
负责人:
Stephen Mobbs
金额:
$3106.46万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
关键词:

项目摘要

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中文摘要
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英文摘要
The collection, management and exploitation of data is an integral part of modern environmental science. NERC's policies associated with data span all aspects of NERC's funding routes and branches of environmental science. A key part of the implementation of these policies requires NERC to fund and manage five environmental data centres: the British Oceanographic Data Centre (BODC), the Centre for Environmental Data Analysis (CEDA), the Environmental Information Data Centre (EIDC), the National Geoscience Data Centre (NDGC) and the Polar Data Centre (PDC).This proposal is presented by a consortium of BODC, CEDA, EIDC, PDC and NGDC and presents a plan for operation and management of the data centres over the period 2018-2023. The proposal explains how each data centre will to deliver core data management. These core functions enable NERC to fulfil its data policy with the primary aim of ensuring the continuing availability of environmental data of long-term value for research, teaching, and for wider exploitation for the public good, by individuals, government, business and other organisations. The specialised knowledge and domain expertise within each data centre ensures there is a trusted repository/access point for all of NERC's environmental data. The close relationship that each data centre has with its relevant research community has a number of benefits. For example, it helps maximises the acquisition of relevant data and also allows data centre staff to easily engage with the environmental science community and promulgate good data management planning and practices.The proposal also explains, for the first time, how coordination and management will be arranged across all five data centres. Whilst each data centre will remain responsible for the services to its particular sub-discipline of environmental science, the delivery and management of the programme will be harmonised so that the data centres will be able to report collectively to NERC.In addition to the core functions, a second major strand of the proposal is to increase the integration/harmonisation between data centres and to support and provide services to Dodona (NERC's new initiative in spreading the exploitation of environmental data to new users and communities). Increased harmonization between the data centres will enable more sharing of best practise and use of common tools to improve both data quality and accessibility.There is also a plan set out for capital investment in the data centres. This will predominantly be used to provide the underpinning systems, standards and vocabularies needed to increase the potential for combining NERC's diverse data sets to order to address end users' problems.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Sharing transferable methods in environmental data science: A Fuzzy changepoint approach to numerical model evaluation over Greenland.
共享环境数据科学中的可转移方法:格陵兰岛数值模型评估的模糊变点方法。
DOI: 10.5194/egusphere-egu21-8813
发表时间: 2021
期刊:
影响因子: --
作者: [Hollaway M]
通讯作者: Hollaway M
NERC Environmental Data Service 2023-2028
  • 批准号:
    NE/Y001729/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $2948.67万
  • 财政年份:
    2023
  • 负责人:
    Stephen Mobbs
  • 依托单位:
NCAS International Collaboration in Hazardous Weather and Global Chemical Change
  • 批准号:
    NE/X006263/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $510.83万
  • 财政年份:
    2022
  • 负责人:
    Stephen Mobbs
  • 依托单位:
The North Atlantic Climate System Integrated Study (ACSIS) - 1 year extension
  • 批准号:
    NE/V013130/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $82.98万
  • 财政年份:
    2021
  • 负责人:
    Stephen Mobbs
  • 依托单位:
NC ODA 1 Year Extension
  • 批准号:
    NE/T012390/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $108.05万
  • 财政年份:
    2020
  • 负责人:
    Stephen Mobbs
  • 依托单位:
国内基金
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: