UK Secretariat to support BF Collaborative Research Action on Data Management and e-Infrastructure

英国秘书处支持 BF 数据管理和电子基础设施合作研究行动

基本信息

批准号：
NE/L014319/1
负责人：
Robert Gurney
金额：
$ 33.47万
依托单位：
University of Reading
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2013
资助国家：
英国
起止时间：
2013 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FL014319%2F1
关键词：
UK Secretariat support BF Collaborative

项目摘要

End-to-end decision support systems are imperative in helping society respond to global environmental change. Development of these systems are impaired by numerous social and technological challenges however, and include the lack of coordinated research strategies and objectives between individual infrastructures and across disciplines, the growth of "big and complex data" to scales well beyond the capabilities of traditional data handling tools, limited access to data and software tools by mainstream scientists, and a lack of interoperability of technical architecture and of governance across individual infrastructures, disciplines and scales for data, e-infrastructures and data analytics. Many nations have instituted parallel e-infrastructure activities that can be used to develop end-to-end decision support systems. COOPEUS in the European Union, EarthCube in the US, the Environmental Virtual Observatory pilot in the UK and the Australian National Data Service, are a few of the most note-worthy examples. Most of these have concentrated on serving data, whereas information systems also need to serve models and tools, where standards are much less developed. Cross-disciplinary, cross-national collaborations focused on addressing serving all types of environmental information require a coordinated approach to planning, implementation and management if they are to be efficient and maximise the time scientists can spend on their science. A concerted international effort to develop a more coordinated international approach has the potential to produce greater sustainability in data curation, storage and sharing and to integrate and leverage existing resources, expertise and tools; increase the rate at which standards are created, adopted and shared; promote open data and open source programmes and enhance capability, capacity and trust, leading to creation and promulgation of an international community of practice in data and computational sciences for global environmental change.

端到端决策支持系统对于帮助社会应对全球环境变化至关重要。然而，这些系统的开发受到众多社会和技术挑战的影响，包括各个基础设施之间和跨学科之间缺乏协调的研究策略和目标，“大而复杂的数据”的增长远远超出了传统数据处理的能力工具、主流科学家对数据和软件工具的访问有限，以及数据、电子基础设施和数据分析的各个基础设施、学科和规模之间缺乏技术架构和治理的互操作性。许多国家已经开展了并行的电子基础设施活动，可用于开发端到端决策支持系统。欧盟的 COOPEUS、美国的 EarthCube、英国的环境虚拟观测站试点和澳大利亚国家数据服务是一些最值得注意的例子。其中大多数都集中在服务数据上，而信息系统还需要服务于模型和工具，而这些标准的制定要少得多。专注于解决为所有类型的环境信息提供服务的跨学科、跨国合作，如果要提高效率并最大限度地提高科学家在科学研究上花费的时间，就需要采用协调一致的方法进行规划、实施和管理。国际社会共同努力制定更加协调的国际方法，有可能在数据管理、存储和共享方面产生更大的可持续性，并整合和利用现有资源、专业知识和工具；提高标准创建、采用和共享的速度；促进开放数据和开源项目，增强能力、能力和信任，从而创建和颁布全球环境变化数据和计算科学的国际实践社区。