Data in the construction industry - Revision history

Editor: Reverted edits by Jayshree1 (talk) to last revision by Designing Buildings

2025-08-04T11:36:51Z

Reverted edits by Jayshree1 (talk) to last revision by Designing Buildings

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Jayshree1 at 08:10, 4 August 2025

2025-08-04T08:10:22Z

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Designing Buildings at 08:12, 21 October 2022

2022-10-21T08:12:13Z

← Older revision		Revision as of 08:12, 21 October 2022
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	* Structured data.		* Structured data.
	* Top big data tools used to store and analyze data.		* Top big data tools used to store and analyze data.
−	* Treating data as part of infrastructure	+	* Treating data as part of infrastructure.
		+	* Unstructured data.
	* Virtual reality and big data disrupting digital construction.		* Virtual reality and big data disrupting digital construction.

	[[Category:DCN_Definition]] [[Category:DCN_Guidance]] [[Category:Education]] [[Category:Research_/_Innovation]] [[Category:Products_/_components]] [[Category:BIM]]		[[Category:DCN_Definition]] [[Category:DCN_Guidance]] [[Category:Education]] [[Category:Research_/_Innovation]] [[Category:Products_/_components]] [[Category:BIM]]

Designing Buildings at 06:42, 20 October 2022

2022-10-20T06:42:50Z

← Older revision		Revision as of 06:42, 20 October 2022
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	* Big data.		* Big data.
−	* BIM.
−	* BS ISO 16739:2013 Industry Foundation Classes (IFC) for data sharing in the construction and facility management industries.
	* Building data exchange.		* Building data exchange.
	* Common data environment.		* Common data environment.
Line 92:		Line 90:
	* Open data.		* Open data.
	* Open data - how can it aid the development of the construction industry?		* Open data - how can it aid the development of the construction industry?
		+	* Raw data.
		+	* Spatial data.
	* Structured data.		* Structured data.
	* Top big data tools used to store and analyze data.		* Top big data tools used to store and analyze data.

Designing Buildings at 08:41, 26 September 2022

2022-09-26T08:41:22Z

← Older revision		Revision as of 08:41, 26 September 2022
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	An asset information model (AIM) is a model that compiles the data and information necessary to support asset management, that is, it provides all the data and information related to, or required for the operation of an asset.		An asset information model (AIM) is a model that compiles the data and information necessary to support asset management, that is, it provides all the data and information related to, or required for the operation of an asset.

−	The [https://www.gov.uk/government/publications/geospatial-glossary/geospatial-glossary Geospatial Glossary], published by the Geospatial Commission, and accessed on 17 September 2022, data as: ‘Discrete values and statistics collected together for reference or analysis. These values can be represented as text, numbers, graphics, images, sound, or video.’	+	The [https://www.gov.uk/government/publications/geospatial-glossary/geospatial-glossary Geospatial Glossary], published by the Geospatial Commission, and accessed on 17 September 2022, defines data as: ‘Discrete values and statistics collected together for reference or analysis. These values can be represented as text, numbers, graphics, images, sound, or video.’

	It defines a dataset as an: ‘Identifiable collection of data.’		It defines a dataset as an: ‘Identifiable collection of data.’

Designing Buildings at 08:40, 26 September 2022

2022-09-26T08:40:03Z

← Older revision		Revision as of 08:40, 26 September 2022
Line 51:		Line 51:
	An asset information model (AIM) is a model that compiles the data and information necessary to support asset management, that is, it provides all the data and information related to, or required for the operation of an asset.		An asset information model (AIM) is a model that compiles the data and information necessary to support asset management, that is, it provides all the data and information related to, or required for the operation of an asset.

−	On 25 May 2018, the EU General Data Protection Regulation (GDPR) replaced the Data Protection Directive 95/46/EC. GDPR was designed to harmonise data privacy laws across Europe, to protect and empower all EU citizens data privacy and to reshape the way organisations across the region approach data privacy. For more information, see GDPR.	+	The [https://www.gov.uk/government/publications/geospatial-glossary/geospatial-glossary Geospatial Glossary], published by the Geospatial Commission, and accessed on 17 September 2022, data as: ‘Discrete values and statistics collected together for reference or analysis. These values can be represented as text, numbers, graphics, images, sound, or video.’
		+
		+	It defines a dataset as an: ‘Identifiable collection of data.’
		+
		+	It defines data quality as: ‘…the state of qualitative or quantitative pieces of information. There are many definitions of data quality but data is generally considered high quality if it is “fit for [its] intended uses in operations, decision making and planning”.’
		+
		+	And the data life cycle as: ‘…the sequence of stages that a particular unit of data goes through from its initial generation or capture to its eventual archival and/or deletion at the end of its useful life.’
		+
		+	NB On 25 May 2018, the EU General Data Protection Regulation (GDPR) replaced the Data Protection Directive 95/46/EC. GDPR was designed to harmonise data privacy laws across Europe, to protect and empower all EU citizens data privacy and to reshape the way organisations across the region approach data privacy. For more information, see GDPR.

	= Related articles on Designing Buildings =		= Related articles on Designing Buildings =

Designing Buildings at 07:58, 29 March 2022

2022-03-29T07:58:58Z

← Older revision		Revision as of 07:58, 29 March 2022
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	* Common data environment.		* Common data environment.
	* Data architect.		* Data architect.
		+	* Database.
	* Data centre cooling.		* Data centre cooling.
	* Data-centric business model.		* Data-centric business model.

Designing Buildings at 09:28, 4 November 2021

2021-11-04T09:28:17Z

← Older revision		Revision as of 09:28, 4 November 2021
Line 64:		Line 64:
	* Data-centric business model.		* Data-centric business model.
	* Data consumer.		* Data consumer.
		+	* Data custodian.
	* Data-driven mobility.		* Data-driven mobility.
	* Data and behaviours in construction.		* Data and behaviours in construction.
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	* Global Unique IDs (GUIDs).		* Global Unique IDs (GUIDs).
	* How data can stop waste.		* How data can stop waste.
−	* Internet of things.
	* Large hyper data centres demand for precision cooling.		* Large hyper data centres demand for precision cooling.
	* Making the most of big data.		* Making the most of big data.

Designing Buildings at 09:25, 4 November 2021

2021-11-04T09:25:21Z

← Older revision		Revision as of 09:25, 4 November 2021
Line 60:		Line 60:
	* Building data exchange.		* Building data exchange.
	* Common data environment.		* Common data environment.
		+	* Data architect.
	* Data centre cooling.		* Data centre cooling.
	* Data-centric business model.		* Data-centric business model.
		+	* Data consumer.
	* Data-driven mobility.		* Data-driven mobility.
	* Data and behaviours in construction.		* Data and behaviours in construction.

Designing Buildings at 09:14, 14 October 2021

2021-10-14T09:14:35Z

← Older revision		Revision as of 09:14, 14 October 2021
Line 81:		Line 81:
	* Open data.		* Open data.
	* Open data - how can it aid the development of the construction industry?		* Open data - how can it aid the development of the construction industry?
		+	* Structured data.
	* Top big data tools used to store and analyze data.		* Top big data tools used to store and analyze data.
	* Treating data as part of infrastructure		* Treating data as part of infrastructure