the choice and accumulation of decision-making data in engineering project management

Clicks: 216
ID: 146826
2007
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #202 of 292 articles by views in Proceedings of the National Academy of Sciences of the United States of America

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 292 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
There are massive amounts of process data in the usual course of doing engineering. How to choose and accumulate these data to provide reference for newly-built projects in designing and building is a question that project superintendents face. We propose to construct a knowledge management platform for engineering project management to realize the potential of the accumulated decision-making data and study data classification and knowledge management, using architectural engineering data as an example.
Reference Key
liyi2007datathe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Ma Liyi;Qiu Wanhua
Journal Proceedings of the National Academy of Sciences of the United States of America
Year 2007
DOI
10.2481/dsj.6.S831
URL
http://datascience.codata.org/articles/513
Keywords
knowledge management

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.