Small Data Research Infrastructure: Workshop Proposal

小数据研究基础设施：研讨会提案

• 批准号: 1451448
• 负责人: Deborah Estrin
• 金额: $ 9.71万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-15 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1451448&HistoricalAwards=false
• 关键词: Small; Data; Research; Infrastructure; Workshop

Small Data Research Infrastructure: Workshop ProposalThis project is for a workshop series to assess the research needs and opportunities in small data research. Small data refers to the collection of digital traces that individuals generate implicitly and explicitly during their everyday lives. As the use of big data analytics has exploded, a growing community of computer and information science researchers has started to focus on the capture, processing, governance, and use of these small data streams. The research challenges raised by small data cut across the computer science community and include: 1) Personal data mining and modeling: parsing and fusion of diverse and noisy data streams to create informative, descriptive, and predictive models of individuals and their behaviors; 2) Data Privacy and sharing: constructs, architecture, and policies, for protecting and sharing raw and derived personal data streams; and 3) User-centered applications and human-computer interaction: design methods and tools to create meaningful and engaging experiences for individuals. In order to make progress across these three research thrusts, at a scale and pace that matches the potential for impact to individuals and society, this project aims to run a series of workshops to convene the technical community. The output of the workshop series will include the articulation of a small data research agenda, and a plan for a shared community research infrastructure to support real world experiments with real participants and their small data streams. This project brings together expertise from across computer and information sciences and engineering for a series of workshops to develop a research agenda and community infrastructure for small data research. To develop and evaluate realistic systems using "small data" requires user involvement and an end-to-end system test bed involving data streams controlled by various companies and further, that such a test bed should be a shared community infrastructure, since no single research group can afford to build it. The infrastructure development at the center of the proposed workshops has the potential to change how investigators do research, which broadly impacts the research community.

小数据研究基础设施：研讨会提案这个项目是一个研讨会系列，以评估小数据研究的研究需求和机会。小数据是指个人在日常生活中或隐或显地产生的数字痕迹的集合。随着大数据分析的使用爆炸式增长，越来越多的计算机和信息科学研究人员开始关注这些小数据流的捕获、处理、治理和使用。小数据带来的研究挑战贯穿整个计算机科学界，包括：1)个人数据挖掘和建模：分析和融合多样化和嘈杂的数据流，以创建个人及其行为的信息，描述性和预测性模型；2)数据隐私和共享：用于保护和共享原始和派生个人数据流的构造、架构和策略；3)以用户为中心的应用程序和人机交互：为个人创造有意义和引人入胜的体验的设计方法和工具。为了在这三个研究重点上取得进展，在规模和速度上与对个人和社会的潜在影响相匹配，该项目旨在举办一系列研讨会，召集技术社区。该系列研讨会的成果将包括阐述一个小数据研究议程，以及一个共享社区研究基础设施的计划，以支持真实参与者及其小数据流的真实世界实验。该项目汇集了计算机和信息科学与工程领域的专业知识，为小数据研究制定了研究议程和社区基础设施。要使用“小数据”开发和评估现实系统，需要用户参与和端到端系统测试平台，包括由不同公司控制的数据流，而且，这样的测试平台应该是一个共享的社区基础设施，因为没有一个研究小组能够负担得起构建它。提议的研讨会中心的基础设施发展有可能改变研究人员进行研究的方式，这将广泛地影响研究界。