EAGER: A socio-technical framework for identifying team science collaborations that could benefit from cyberinfrastructure

EAGER：一个社会技术框架，用于识别可以从网络基础设施中受益的团队科学合作

基本信息

批准号：
0946708
负责人：
Jonathon Cummings
金额：
$ 18.38万
依托单位：
Duke University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2009
资助国家：
美国
起止时间：
2009-09-01 至 2012-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0946708&HistoricalAwards=false
关键词：
EAGER socio technical framework identifying

项目摘要

Increasingly, research is conducted in multidisciplinary distributed teams using various cyberinfrastructure components. Understanding the creation, evolution and support of research collaborations is a crucial step in learning how to identify and nurture the research teams that will be central to future advances. This project investigates how scientific and engineering collaborations come to adopt cyberinfrastructure and identifies characteristics of collaborations that make them best suited to take advantage of cyberinfrastructure. The many ways that cyberinfrastructure is currently used in team science and the socio-technical components underlying team science collaborations will be identified. A new predictive model of the use of cyberinfrastructure by different kinds of team science collaborations will be developed and tested. Guidance on jointly assessing a collaborative team?s technology, tasks, structures and people will be provided. This research will show how scientific and engineering collaborations form and evolve allowing nascent collaborations to be assessed in terms of their readiness to form teams and successfully use cyberinfrastructure. It will enhance team science effectiveness and improve the development of appropriate cyberinfrastructure tools by identifying general classes of socio-technical needs and solutions.

越来越多地，使用各种网络基础结构组件在多学科分布式团队中进行研究。了解研究合作的创建，演变和支持是学习如何识别和培育将是未来进步至关重要的研究团队的关键步骤。该项目调查了科学和工程合作如何采用网络基础设施，并确定合作的特征，使它们最适合利用网络基础结构。网络基础架构目前用于团队科学以及团队科学合作基础的社会技术组成部分的许多方式。将开发和测试通过不同类型的团队科学合作使用网络基础结构的新预测模型。将提供有关共同评估协作团队的技术，任务，结构和人员的指南。这项研究将表明科学和工程合作如何形成和发展，从而可以根据准备组成团队并成功使用网络基础结构来评估新生的合作。它将通过确定社会技术需求和解决方案的一般类别来提高团队科学效率并改善适当的网络基础设施工具的开发。