4.7 Article

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

期刊

BUILDING AND ENVIRONMENT
卷 177, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2020.106848

关键词

Open data; Data publishing; Data use; Occupant behavior; FAIR Data; Ontology; Anonymi; z; ation; Metadata schema

资金

  1. U.S. National Science Foundation CAREER Award [1949372]
  2. EUDP [64018-0558]
  3. Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-2019-04349]
  4. Humboldt Foundation
  5. Bayer Foundation
  6. Australian Research Council [ARC LP150100246]
  7. U.S. National Science Foundation [1805914]
  8. EPSRC [EP/R035288/1] Funding Source: UKRI
  9. Directorate For Engineering
  10. Div Of Chem, Bioeng, Env, & Transp Sys [1805914, 1949372] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

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