Data and Structure Characteristics Analysis for a Scientific Research E-Management Platform in the Humanities and Social Sciences

• Main Author: Xing Chen
• Format: Article
• Language: English
• Published: Ubiquity Press 2007-10-01
• Series: Data Science Journal
• Subjects: Scientific research management; Information system; Humanities; Social sciences; Data; System structure
• Online Access: http://datascience.codata.org/articles/503

This article first discusses the characteristics of scientific research in the humanities and social sciences (HSS), and then lays out its basic e-management demands. In building a scientific research e-management platform (SREMP), attention must be paid to the characteristics of its data and structure. The data in the SREMP of HSS domains have multiformity. That is, their structure should be an integrative multi-functioned information subsystem with a clearly graded data management mode, flexible user jurisdiction management functions, accurate and common retrieval systems, reliable security design, and flexibility to improve its operations, and ease in maintenance and amelioration. The article also describes the development tendencies of a SREMP.