Building a Holistic Taxonomy Model for OGD-Related Related Risks: Based on a lifecycle analysis

一个政府数据开放风险的整体性分类模型构建：基于生命周期的分析

Fang Wang1,2†, An Zhao1, Hong Zhao1,3& Jun Chu1

1Business School of Nankai University, Tianjin 300071, China

2Center for Network Society Governance of Nankai University, Tianjin 300071, China

3CETC Big Data Research Institute Co. Ltd., Guiyang 550081, China

ABSTRACT

For many government departments, uncertainty aversion is a source of barriers in the advancement of data openness. A more active response to potential risks is needed and necessitates an in-depth examination of risks related to open government data (OGD). With a cross-case study in which three cases from the United Kingdom, the United States and China are examined, this study identifies potential risks that might emerge at  different  stages  of  the  life  cycle  of  OGD  programs  and  constructs  a  taxonomy  model  for  them.  The taxonomy model distinguishes the “risks from OGD” from the “risks to OGD”, which can help government departments  make  better responses.  Finally,  risk  response  strategies  are  suggested  based  on  the  research results.

Keywords:

Open government data; Risk; Taxonomy; Life cycle; risk management

Citation: Wang, F., Zhao, A., Zhao, H. & Chu, J. Building a Holistic Taxonomy Model for OGD Related Risks: Based on a lifecycle analysis. Data Intelligence 1(2019), XXX-XXX. doi: XXXXXXXXXXXXXXXX

Received: Jan. 25, 2019; Revised: May 10, 2019; Accepted: May 18, 2019

(22) (PDF) Building a Holistic Taxonomy Model for OGD-Related Related Risks: Based on a lifecycle analysis. Available from: https://www.researchgate.net/publication/335136340_Building_a_Holistic_Taxonomy_Model_for_OGD-Related_Related_Risks_Based_on_a_lifecycle_analysis [accessed Aug 15 2019].