A three-year dataset supporting research on building energy management and occupancy analytics.

This paper presents the curation of a monitored dataset from an office building constructed in 2015 in Berkeley, California. The dataset includes whole-building and end-use energy consumption, HVAC system operating conditions, indoor and outdoor environmental parameters, as well as occupant counts. The data were collected during a period of three years from more than 300 sensors and meters on two office floors (each 2,325 m2) of the building. A three-step data curation strategy is applied to transform the raw data into research-grade data: (1) cleaning the raw data to detect and adjust the outlier values and fill the data gaps; (2) creating the metadata model of the building systems and data points using the Brick schema; and (3) representing the metadata of the dataset using a semantic JSON schema. This dataset can be used in various applications-building energy benchmarking, load shape analysis, energy prediction, occupancy prediction and analytics, and HVAC controls-to improve the understanding and efficiency of building operations for reducing energy use, energy costs, and carbon emissions.

Integrating ethics and quality improvement: practical implementation in the transitional/ extended care setting.

A major challenge in health care today is to provide high-quality care that results in the best outcomes possible for patients and residents within the limits of available resources. Throughout the past decade, there has been a call from ethicists for health care institutions to integrate the ethics and quality improvement processes. This article describes how a transitional/extended care facility integrated the quality improvement process within an ethical framework to achieve high-quality care while controlling cost.