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Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings

机译：基于乘客中心设计和建筑物的开放数据研究的现行实践与基础设施

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摘要

Many new tools for improving the design and operation of buildings try to realize the potential of big data. In particular, data is an important element for occupant-centric design and operation as occupants' presence and actions are affected by a high degree of uncertainty and, hence, are hard to model in general. For such research, data handling is an important challenge, and following an open science paradigm based on open data can increase efficiency and transparency of scientific work. This article reviews current practices and infrastructure for open data-driven research on occupant-centric design and operation of buildings. In particular, it covers related work on open data in general and for the built environment in particular, presents survey results for existing scientific practices, reviews technical solutions for handling data and metadata, discusses ethics and privacy protection and analyses principles for the sharing of open data. In summary, this study establishes the status quo and presents an outlook on future work for methods and infrastructures to support the open data community within the built environment.
机译：许多用于改善建筑物的设计和操作的新工具试图实现大数据的潜力。特别是，数据是乘客中心设计和操作的重要因素，因为乘员的存在和动作受到高度不确定性的影响，因此，通常是难以模拟的。对于此类研究，数据处理是一个重要的挑战，并且在基于开放数据的开放科学范式之后可以提高科学工作的效率和透明度。本文介绍了开放数据驱动研究的现行实践和基础设施，以乘客为中心的建筑物的设计和运营。特别是，它涵盖了一般的开放数据和建筑环境的相关工作，特别是对现有科学实践的调查结果，审查处理数据和元数据的技术解决方案，讨论道德和隐私保护，并分析了开放的共享原则数据。总之，本研究建立了现状，并提出了对未来工作的展望，以支持内部环境中的开放数据社区。

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