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

Chen Xing | Zendy

Open Access

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

Author(s) -

Chen Xing

Publication year - 2007

Publication title -

data science journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.358

H-Index - 21

ISSN - 1683-1470

DOI - 10.2481/dsj.6.s760

Subject(s) - scope (computer science) , computer science , usability , transparency (behavior) , metadata , open data , data science , digital humanities , implementation , world wide web , data management , database , software engineering , computer security , human–computer interaction , programming language

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research