Research Article
Potential of open data in sustainable and open governance: A search for imperceptible barriers
@INPROCEEDINGS{10.4108/eai.27-2-2020.2303235, author={Shah Imran Alam and Syed Imtiyaz Hassan and Ihtiram Raza Khan and M Afshar Alam and Anil Kumar Mahto}, title={Potential of open data in sustainable and open governance: A search for imperceptible barriers}, proceedings={Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India}, publisher={EAI}, proceedings_a={ICIDSSD}, year={2021}, month={3}, keywords={open data barriers anonymity privacy confidentiality sensitivity open government open government data (ogd) open government partnership (ogp)}, doi={10.4108/eai.27-2-2020.2303235} }
- Shah Imran Alam
Syed Imtiyaz Hassan
Ihtiram Raza Khan
M Afshar Alam
Anil Kumar Mahto
Year: 2021
Potential of open data in sustainable and open governance: A search for imperceptible barriers
ICIDSSD
EAI
DOI: 10.4108/eai.27-2-2020.2303235
Abstract
Open data has gained its importance in many aspects of developments including research, education, governance and socio-economical developments. This paper presents a study of the open data movement worldwide and its impact particularly on governance and it’s related areas. The idea of governance is further illustrated to open government and the potential role the open data could play in an open governance model. The key enablers of open government are essentially transparency and accountability. The role of open data is detailed in making open government goals sustainable. That brings up further investigations on the barriers of open data movement and the efforts made by the participant governments worldwide to break those barriers. In this work, it is established that the least focussed barrier is the privacy concerns of open data and very less work have been done by the governments across the globe. However, privacy being a very strong barrier in limiting the movement of data in open data bounds, the analysis presents an argument to consider the need to encourage work that could ease the opening of data.