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Structure of a traditional baseline data system

Technical Report:

Abstract

Research was conducted to determine whether appropriate data exist for the development of a comprehensive statistical baseline data system on the human environment in the Athabasca oil sands region of Alberta. The existing data sources pertinent to the target area were first reviewed and discussed. Criteria were selected to assist the evaluation of data, including type of data collected, source, degree of detail, geographic identification, accessibility, and time frame. These criteria allowed assessing whether the data would be amenable to geographically-coded, continuous monitoring systems. It was found that the Statistics Canada Census provided the most detail, the most complete coverage of the target area, the smallest statistical areas, the greatest consistency in data and data collection, and the most regular collection. The local agency collection efforts were generally oriented toward specific goals and the data intended primarily for intra-agency use. The smallest statistical units in these efforts may be too large to be of value to a common small-area system, and data collection agencies did not generally use coterminous boundaries. Recommendations were made to give primary consideration to Statistics Canada data in the initial development of the baseline data system. Further development of such a system depends on the adoption  More>>
Authors:
Publication Date:
Dec 01, 1976
Product Type:
Technical Report
Report Number:
AOSER-HE111; MICROLOG-91-03123
Reference Number:
CANM-91-008996; EDB-91-092299
Subject:
04 OIL SHALES AND TAR SANDS; ALBERTA; INFORMATION SYSTEMS; ATHABASCA DEPOSIT; HUMAN POPULATIONS; SOCIO-ECONOMIC FACTORS; CANADA; DEVELOPED COUNTRIES; GEOLOGIC DEPOSITS; INSTITUTIONAL FACTORS; NORTH AMERICA; OIL SAND DEPOSITS; POPULATIONS; 041000* - Oil Shales & Tar Sands- Environmental Aspects
OSTI ID:
5564945
Research Organizations:
Alberta Oil Sands Environmental Research Program, Edmonton, AB (Canada)
Country of Origin:
Canada
Language:
English
Availability:
PC Alberta Environment, Library Services Branch, Oxbridge Place, 9820 - 106th St., 14th Floor, Edmonton, AB, CAN T5K 2J6; MF CANMET/TID, Energy, Mines and Resources Canada, 555 Booth St., Ottawa, Ont., Canada K1A 0G1.
Submitting Site:
CANM
Size:
Pages: (41 p)
Announcement Date:

Technical Report:

Citation Formats

Not Available. Structure of a traditional baseline data system. Canada: N. p., 1976. Web.
Not Available. Structure of a traditional baseline data system. Canada.
Not Available. 1976. "Structure of a traditional baseline data system." Canada.
@misc{etde_5564945,
title = {Structure of a traditional baseline data system}
author = {Not Available}
abstractNote = {Research was conducted to determine whether appropriate data exist for the development of a comprehensive statistical baseline data system on the human environment in the Athabasca oil sands region of Alberta. The existing data sources pertinent to the target area were first reviewed and discussed. Criteria were selected to assist the evaluation of data, including type of data collected, source, degree of detail, geographic identification, accessibility, and time frame. These criteria allowed assessing whether the data would be amenable to geographically-coded, continuous monitoring systems. It was found that the Statistics Canada Census provided the most detail, the most complete coverage of the target area, the smallest statistical areas, the greatest consistency in data and data collection, and the most regular collection. The local agency collection efforts were generally oriented toward specific goals and the data intended primarily for intra-agency use. The smallest statistical units in these efforts may be too large to be of value to a common small-area system, and data collection agencies did not generally use coterminous boundaries. Recommendations were made to give primary consideration to Statistics Canada data in the initial development of the baseline data system. Further development of such a system depends on the adoption by local agencies of a common small-area system for data collection. 38 refs., 6 figs.}
place = {Canada}
year = {1976}
month = {Dec}
}