A characteristic based information evaluation model

Llewellyn C M Tang, Yuyang Zhao, Simon Austin, Mansur Darlington, Stephen Culley

Research output: Contribution to conferencePaperpeer-review

7 Citations (SciVal)

Abstract

Throughout the engineering design process, engineers make decisions based on various information sources without formally judging the value and quality of information. With a wide range of information characteristics available to assess information, the question to the engineers is, "is it possible to establish a metrics to theoretically assess the credibility and value of information within the context of engineering design when they create, store and retrieve the information?" This paper first makes a brief review of the works that are related to assigning "value" to information with the focus being put on analyzing existing information valuing methodologies. In particular, the paper investigates and summarizes the information characteristics involved in these models and methodologies. Together with the fieldwork conducted in a number of global engineering and construction companies, the key information characteristics that are critical to information evaluation are identified. Finally the paper introduces an Information Evaluation Model (IEM) that uses the identified information characteristics as the assessment criteria to judge the value of information. Copyright 2008 ACM.
Original languageEnglish
Pages89-92
Number of pages4
DOIs
Publication statusPublished - 2008
Event2nd ACM Workshop on Information Credibility on the Web, WICOW'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, USA United States
Duration: 26 Oct 200830 Oct 2008

Conference

Conference2nd ACM Workshop on Information Credibility on the Web, WICOW'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Country/TerritoryUSA United States
CityNapa Valley, CA
Period26/10/0830/10/08

Keywords

  • Information value
  • Information evaluation
  • Assessment
  • Investigations
  • Information characteristics

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