Notice of Retraction: On project cost information management problems and countermeasures

Author(s):  
Liu Lihong
2014 ◽  
Vol 919-921 ◽  
pp. 1433-1436
Author(s):  
Zhen Wen

The project cost industry got rapid development with large scale development construction projects in china. The government's management departments of project cost, in order to provide the capacity and level of management, the transformation of the mode of management, strengthening the project cost information service function, implement the informatization strategy comprehensively. But in the country, because of the lack of unified project cost information technology planning, and construction standards, resulted in the formation of many "islands of information". Therefore, the article proposes information management system integration of project cost for the management department of project cost to meet the urgent needs of project cost sharing and using.


2014 ◽  
Vol 687-691 ◽  
pp. 1979-1982
Author(s):  
Chun Jin ◽  
Yun Bai

At present, the application of project cost management information system has become a trend. The development of project cost management information system in our country is relatively later. Because project cost management information system is lack of unified network, imperfect system module, lower personal qualities, and so on, it does not play proper role. The article analyzes construction of project cost management information system from overall design and puts forward the corresponding countermeasures and suggestions.


Author(s):  
Jean Paoli

Some of us building software need to take a hard look in the mirror. For years, we have promised that technology would solve the world’s information management problems, but 85% of business information is still “dark data,” with potentially useful insights lost in a rising tide of disconnected documents, emails, Slack conversations, voice-to-text messages, etc. We need an effective approach to documents and want to start a public conversation about these issues. We believe that effective solutions should be based on: Declarative Markup; AI sympathetic to “Small Data”; focus on company-specific documents; applying AI to documents as a whole; and solutions that do not disrupt existing workflows or require massive investment. The future is not about AI making human beings obsolete; the future is about AI making human beings and companies more productive, effective, and creative


2011 ◽  
Vol 6 (1) ◽  
pp. 125-138 ◽  
Author(s):  
Youngseek Kim ◽  
Benjamin K. Addom ◽  
Jeffrey M. Stanton

Large, collaboratively managed datasets have become essential to many scientific and engineering endeavors, and their management has increased the need for "eScience professionals" who solve large scale information management problems for researchers and engineers. This paper considers the dimensions of work, worker, and workplace, including the knowledge, skills, and abilities needed for eScience professionals. We used focus groups and interviews to explore the needs of scientific researchers and how these needs may translate into curricular and program development choices. A cohort of five masters students also worked in targeted internship settings and completed internship logs. We organized this evidence into a job analysis that can be used for curriculum and program development at schools of library and information science.


Sign in / Sign up

Export Citation Format

Share Document