A Construction Classification System Database for Understanding Resource Use in Building Construction

The dataset titled "A Construction Classification System Database for Understanding Resource Use in Building Construction" falls under the domain of Construction. It was published on 2022-02-09 and spans a time period from 2020-12-22 to 2022-02-09. The geographical area it covers includes Canada and the United States of America. The dataset is open for access with the condition that any use of the data should cite the paper associated with it. The University of Toronto owns the dataset, and the research team supervised by Prof. Shoshanna Saxe authored it. The dataset is identified by the unique identifier 10.5281/zenodo.6110275 and is available in English.

The dataset contains data about individuals and identifiable individuals. It is currently in its 10.0 version. The quality of the data is high, with no missing data as a metric for its quality. The Urban Data Research Centre is the organization that owns the dataset. The dataset provides information related to building material, which aids in studying resource use in building design and construction. It is licensed under Creative Commons Attribution. The metadata for the dataset was created on 2023-03-07 and last modified on 2025-04-08.

AI Generated

Datasets available for download

Additional Info

Field Value
Last Updated April 10, 2025, 17:34 (UTC)
Created March 7, 2023, 19:50 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Construction
Description
A description of the dataset.

The dataset captures information related to building material which facilitates study of resource use in building design and construction. The dataset is the combination for design or constrution drawings for buildings and material requirements. The dataset has the advantage of Uniformat and MasterFormat which facilitates the interoperability with existing construction management practices and helps in standardizing construction management practices.
Tags
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2022-02-09
Time Period Data Span (start date)
Start date of the data in the dataset.
2020-12-22
Time Period Data Span (end date)
End date of time data in the dataset.
2022-02-09
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Canada and United States of America
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
Open
License
License used to access the dataset.
Creative Commons Attribution
Limits on use
Limits on use of data.
The paper should be cited in order to use it as follows: Guven, G., Arceo, A., Bennett, A., Tham, M., Olanrewaju, B., McGrail, M., Isin, K., Olson, A. W., and Saxe, S. A construction classification system database for understanding resource use in building construction. Sci Data 9, 42 (2022). https://doi.org/10.1038/s41597-022-01141-8
Location
Location of the dataset.
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
University of Toronto
Contact Point
Who to contact regarding access?
N/A
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
Author
Author of the dataset.
Research team supervised by Prof. Shoshanna Saxe
Author Email
Email of the author.
s.saxe@utoronto.ca
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
10.5281/zenodo.6110275
Language
Language(s) of the dataset
English
Link to dataset description
A URL to an external document describing the dataset.
https://zenodo.org/record/6110275#.ZAeTiuzMKha
Persistent Identifier
Data is identified by a persistent identifier.
Yes
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Yes
Contains data about individuals
Does the data hold data about individuals?
Yes
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Yes
Contains Indigenous Data
Does the data hold data about Indigenous communities?
N/A
Field Value
Version
Version of the datatset
10.0
Source
Source of the dataset.
https://zenodo.org/record/6110275#.ZAeTiuzMKha
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
N/A
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
High
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
no missing data

0 Comments

Please login or register to comment.