Factsheet: Data-Driven Smart Buildings (PDF 0.32MB) 
November 2019

A Data Sharing Guideline for Buildings and HVAC Systems (PDF 2.17MB) 
March 2023
Author(s): Stephen White, Anna Marszal-Pomianowska, Guang Yu Jin, Henrik Madsen, José Candanedo, Mirjam Harmelink, Sofia Stensson and Virginia Gori
The benefits of digitalisation are somewhat predicated on access to relevant data, in a way that is cost-effective, trustworthy, flexible, and consistent with obligations to manage privacy and commercial rights.

Applying the FAIR data principles, this guide discusses concepts and language relevant to data-quality, data-management, and data-governance. It aims to help building owners and government policy makers to obtain greater access to, and control over their data, to unlock markets and to source competitive smart building services.

Survey of metadata schemas for data-driven smart buildings (PDF 2.38MB) 
June 2022
Author(s): Gabe Fierro and Pieter Pauwels
Publisher: CSIRO
A survey of metadata schemas for data-driven buildings is presented. The aim of this document is to provide insight and clarity into the overall structure, as well as trade-offs and arguments behind each of the major metadata schemas available for data-driven smart buildings. This includes context relating to how those metadata schemas are applied in practice.
Annotating sensor, meter, IoT and other building device data, so that it can be re-used as effectively and meaningfully as possible (regardless of the building typology, location or fabric), is a task best achieved by a common/standardised metadata schema. Creating portable applications that use metadata, to mask the inherent complexities of each building, allows the proliferation of value-adding applications and services.
The intended audience of this paper includes building owners, commissioning agents, system integrators and software developers, who are in a decision-making position for choosing or requiring a metadata standard for enabling analytics.