Follow On: myTea/SmartTea Integrated Experiment Annotation Commercial Demonstrator

后续:myTea/SmartTea 集成实验注释商业演示器

基本信息

  • 批准号:
    EP/E502997/1
  • 负责人:
  • 金额:
    $ 11.48万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2007
  • 资助国家:
    英国
  • 起止时间:
    2007 至 无数据
  • 项目状态:
    已结题

项目摘要

SmartTea is a pervasive semantically-aware information system designed to support the needs of laboratory experimenters. Similarly MyTea facilitates the recording and tracking of highly variable in silco analysis and experiments. The systems provide the following features:a web-based interface that allows an experimenter to define experimental plans, in a form designed to support COSHH assessment of health and safety aspects;a tablet PC interface (the ELN) allowing the experimenter to record information about the experiment during its execution;a pervasive data capture facility, allowing automatic acquisition of data from experimental apparatus or from computational analysis workflows;a semantic data repository, supporting storage of the above data and its relationships (including provenance), and semantic query (reasoning) over those relationships.The focus for SmartTea & myTea thus far has been to design and implement the framework needed to support ELN users requirements in University research labs What sets the SmartTea/myTea approach apart is that it seeks to support the full experiment life cycle: experimental results derived from the wet lab in one science domain, like chemistry, can be made available digitally to be connected automatically to related resources in other science to be accessed in a dry lab by another scientist, like a bioinformatitcian. Now, we wish to take the technology forward to link in with other laboratory resources, archives and address commercial requirements: scalability, robustness and security. By doing so we hope to make SmartTea and myTea key tools for improving the both the productivity of scientists and the speed at which new discoveries are generated and shared.
SmartTea是一个普遍的语义感知信息系统,旨在支持实验室实验人员的需求。同样,MyTea有助于记录和跟踪Silco分析和实验中的高度可变性。该系统提供了以下功能:一个基于网络的界面,允许实验者定义实验计划,其形式旨在支持COSHH对健康和安全方面的评估;一个平板电脑界面(ELN),允许实验者在执行过程中记录有关实验的信息;一个普遍的数据捕获设施,允许从实验设备或计算分析工作流程自动获取数据;语义数据存储库,支持上述数据及其关系的存储(包括出处),语义查询(推理)这些关系。SmartTea & myTea到目前为止一直致力于设计和实施支持ELN用户在大学研究实验室需求所需的框架。myTea方法的另一个特点是,它寻求支持整个实验生命周期:从一个科学领域(如化学)的湿实验室获得的实验结果可以数字化,自动连接到其他科学领域的相关资源,由另一位科学家(如生物信息学家)在干实验室中访问。现在,我们希望将该技术与其他实验室资源、档案库连接起来,并满足商业需求:可扩展性、鲁棒性和安全性。通过这样做,我们希望使SmartTea和myTea成为提高科学家生产力和新发现产生和共享速度的关键工具。

项目成果

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{{ truncateString('Mc Schraefel', 18)}}的其他基金

Incidental Interaction: Novel Technology to Support Elders-as-Athletes through Augmenting Everyday Interactions
偶然互动:通过增强日常互动支持老年人运动员的新技术
  • 批准号:
    EP/W031477/1
  • 财政年份:
    2023
  • 资助金额:
    $ 11.48万
  • 项目类别:
    Research Grant
Health Resilience Interactive Technology: transforming self-management for individual and community health via inbodied interaction design
健康弹性互动技术:通过体内互动设计改变个人和社区健康的自我管理
  • 批准号:
    EP/T007656/1
  • 财政年份:
    2020
  • 资助金额:
    $ 11.48万
  • 项目类别:
    Fellowship
AutoTrust: Designing a Human-Centered Trusted, Secure, Intelligent and Usable Internet of Vehicles
AutoTrust:设计以人为本的可信、安全、智能、可用的车联网
  • 批准号:
    EP/R029563/1
  • 财政年份:
    2018
  • 资助金额:
    $ 11.48万
  • 项目类别:
    Research Grant
Meaningful Consent in the Digital Economy
数字经济中有意义的同意
  • 批准号:
    EP/K039989/1
  • 财政年份:
    2014
  • 资助金额:
    $ 11.48万
  • 项目类别:
    Research Grant
ReFresh: Remodeling Building Design Sustainability from a Human Centered Approach
ReFresh:以人为本的方法重塑建筑设计的可持续性
  • 批准号:
    EP/K021907/1
  • 财政年份:
    2013
  • 资助金额:
    $ 11.48万
  • 项目类别:
    Research Grant
musicSpace: Using and Evaluating e-Science Design Methods and Technologies to Improve Access to Heterogeneous Music Resources for Musicology
musicSpace:使用和评估电子科学设计方法和技术来改善音乐学对异构音乐资源的访问
  • 批准号:
    AH/E006647/1
  • 财政年份:
    2007
  • 资助金额:
    $ 11.48万
  • 项目类别:
    Research Grant
Supporting Exploratory Search via the Semantic Web
通过语义网支持探索性搜索
  • 批准号:
    EP/E035930/1
  • 财政年份:
    2006
  • 资助金额:
    $ 11.48万
  • 项目类别:
    Research Grant
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