An Evaluation Method for D&U of GIR Based on Information Resources Lifecycle
Wenjie Luo, Xiudan Yang, Jinhua Wang
Abstract
Wenjie Luo, Xiudan Yang, Jinhua Wang
Abstract
This paper mainly puts forward an evaluation method for development and utilization (D&U) of government information resources (GIR) based on the information resources lifecycle, which can be divided into six stages: planning, acquisition, processing, dissemination and utilization, storage and maintenance, and disposition and destruction. The paper defines the meaning of each stage and also the capability maturity level features of them on five levels: initial level, managed level, defined level, quantitatively managed level, and optimizing level, which are the bases of constructing indicators of evaluation system. Next, the paper presents the applied method and implemental steps of the evaluation system. Finally, some considers are given for selecting key indicators.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper mainly puts forward an evaluation method for development and utilization (D&U) of government information resources (GIR) based on the information resources lifecycle, which can be divided into six stages: planning, acquisition, processing, dissemination and utilization, storage and maintenance, and disposition and destruction. The paper defines the meaning of each stage and also the capability maturity level features of them on five levels: initial level, managed level, defined level, quantitatively managed level, and optimizing level, which are the bases of constructing indicators of evaluation system. Next, the paper presents the applied method and implemental steps of the evaluation system. Finally, some considers are given for selecting key indicators.
Key concepts: Computer science, Key (lock), Maturity (psychological), Government (linguistics), Capability Maturity Model, Process management, Knowledge management, Systems engineering