myGrid: A Platform for e-Biology Renewal

myGrid：电子生物学更新平台

• 批准号: EP/G026238/1
• 负责人: Carole Goble
• 金额: $ 143.28万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FG026238%2F1
• 关键词: myGrid; Platform; Biology; Renewal

SummaryThe myGrid Consortium is a multi-institutional, multi-disciplinary, internationally leading research group focusing on the challenges of e Science-the use of computational resources that allows scientists around the world to collaborate to produce and analyse the vast amounts of complex data in disciplines as diverse as biology, chemistry, astronomy, physics, music and social science. This platform grant enables the consortium to sustain an internationally leading team of researchers working on the foundations of e-Science. The consortium delivers e-Laboratory environments in which scientists perform virtual or in silico experiments. The consortium's flagship tools include Taverna, myExperiment and Utopia. Taverna is used to develop the scientific workflows that scientists use to gather and analyse data - these represent the experiments on, for example, the genes and proteins involved in diseases. The myExperiment Virtual Research Environment is social web site software for the social curation and sharing of scientific research objects, including workflows and in silico experiments. UTOPIA is a suite of scientific visualisation and analysis tools that brings together disparate data sources in an easy to use unified interface. Together these enable scientific investigations to be undertaken in a way that enables the scientist to concentrate on the science, a feat that requires basic research in computer science.These E-Science tools are world leaders with 1000, 900 and 2000 users respectively - Taverna is used in some 350 organisations. Producing these tools necessitates foundational e-Science research in four main areas: the management of the knowledge in such environments; the production and management of the metadata, or descriptions, of the experiments and experimental holdings; the design, use and reuse of in silico experiments; and the exploitation of social networks to enhance e-Science. Explicitly engaging with users supports adoption, and it drives challenging, user-relevant research and development based on observed experience and real need. The platform grant enables the consortium to retain key staff that help sustain this world leading effort in e-Science and Open Science - they are experts in scientific workflow management, semantic technologies, intelligent middleware and social computing. Crucially it also supports our participation on the international stage, and it allows pump-priming novel and innovative research projects that are the hallmark of the consortium.

MyGrid Consortium是一个多机构，多学科，国际领先的研究小组，专注于电子科学的挑战-使用计算资源，使世界各地的科学家能够合作产生和分析生物学，化学，天文学，物理学，音乐和社会科学等学科的大量复杂数据。该平台赠款使该财团能够维持一支致力于电子科学基础的国际领先的研究人员团队。该联盟提供电子实验室环境，科学家在其中进行虚拟或计算机实验。该联盟的旗舰工具包括Taverna，myExperiment和Utopia。Taverna用于开发科学家用来收集和分析数据的科学工作流程-这些数据代表了例如与疾病有关的基因和蛋白质的实验。myExperiment虚拟研究环境是一个社交网站软件，用于社会化管理和共享科学研究对象，包括工作流程和计算机实验。UTOPIA是一套科学可视化和分析工具，将不同的数据源汇集在一个易于使用的统一界面中。这些共同使科学调查能够以一种使科学家能够专注于科学的方式进行，这一壮举需要计算机科学的基础研究。这些E-Science工具是世界领先者，分别拥有1000、900和2000名用户- Taverna被约350个组织使用。生产这些工具需要在四个主要领域进行基础电子科学研究：在这种环境中的知识管理;实验和实验持有的元数据或描述的生产和管理;计算机实验的设计，使用和再利用;以及利用社交网络来加强电子科学。明确地与用户互动有助于采用，并根据观察到的经验和真实的需求推动具有挑战性的、与用户相关的研究和开发。平台赠款使该联盟能够留住关键人员，帮助维持这一世界领先的努力，在电子科学和开放科学-他们是专家在科学工作流程管理，语义技术，智能中间件和社会计算。至关重要的是，它还支持我们参与国际舞台，并允许泵启动新颖和创新的研究项目，这是该联盟的标志。

项目成果

Small Is Beautiful: Summarizing Scientific Workflows Using Semantic Annotations

• DOI: 10.1109/bigdata.congress.2013.49
• 发表时间: 2013-06
• 期刊: 2013 IEEE International Congress on Big Data
• 作者: Pinar Alper;Khalid Belhajjame;C. Goble;Pinar Senkul

Why linked data is not enough for scientists

• DOI: 10.1016/j.future.2011.08.004
• 发表时间: 2013-02-01
• 期刊: FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
• 影响因子: 7.5
• 作者: Bechhofer, Sean;Buchan, Iain;Goble, Carole
• 通讯作者: Goble, Carole

A workflow PROV-corpus based on taverna and wings

基于taverna和wings的工作流程PROV语料库

• DOI: 10.1145/2457317.2457376
• 发表时间: 2013
• 作者: Belhajjame K

Enhancing and abstracting scientific workflow provenance for data publishing

• DOI: 10.1145/2457317.2457370
• 发表时间: 2013-03
• 期刊: 2009 3rd International Conference on Bioinformatics and Biomedical Engineering
• 作者: Pinar Alper;Khalid Belhajjame;C. Goble;Pinar Senkul

Static analysis of Taverna workflows to predict provenance patterns

对 Taverna 工作流程进行静态分析以预测来源模式

• DOI: 10.1016/j.future.2017.01.004
• 发表时间: 2017
• 期刊: Future Generation Computer Systems
• 作者: Alper P