DocumentCode :
532464
Title :
Research on data-preprocessing for construction of university information systems
Author :
Binli, Sun
Author_Institution :
Office of Institutional Res., Beijing Inst. of Petrochem. Technol., Beijing, China
Volume :
1
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Most universities today have large and complex structure and activities (Multiversity) and, exist in them, huge amount of data resources. But until now, there is no mature method to collect and process these data to meet the need of information system application. Some systems used in separate sectors can not provide effective information for management decision and meet the needs of public inquiries. Based on university data description, this paper analyses these data and discusses the data collection and data processing methods. First, the higher education data is divided into two types: business process-based data and status expression-based data. Then, the paper discusses the difference between the two types and proposes some basic rules for data collection and preprocessing. It is anticipated that the results of this paper will help the successful application of information systems in universities.
Keywords :
educational administrative data processing; educational institutions; information systems; business process-based data; data collection; data preprocessing; data processing; data resources; data-preprocessing; higher education data; status expression-based data; university data description; university information systems; Business; Educational institutions; Finance; Switches; Training; basic data; basic status indicators; data analysis; data preprocessing; higher education basic state data; institutional research;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5620578
Filename :
5620578
Link To Document :
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