Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Mitigating Challenges of Open Government Data

Version 1 : Received: 26 December 2017 / Approved: 26 December 2017 / Online: 26 December 2017 (04:21:28 CET)
Version 4 : Received: 17 January 2018 / Approved: 17 January 2018 / Online: 17 January 2018 (11:09:52 CET)

How to cite: Dvir, N. Mitigating Challenges of Open Government Data. Preprints 2017, 2017120182. https://doi.org/10.20944/preprints201712.0182.v1 Dvir, N. Mitigating Challenges of Open Government Data. Preprints 2017, 2017120182. https://doi.org/10.20944/preprints201712.0182.v1

Abstract

The Release of government dataset for public use can potentially strengthen the relationship between the government and its constituents. However, research shows that there are several challenges for open data effectiveness. This paper reviews current determents and issues associated with the open government data (OGD) procedures. The review concentrates on two ends of the spectrum: First, from the perspective of the preparation by the government, focusing on the organization of traditional governmental datasets and how the recording of the data is administered. Second, from the perspective of the users, focusing on the way in which the data is released to the general public and on human-computer interaction (HCI) issues between end-user and data-consumption interfaces. Following a thorough analysis of these two opposing challenges, the paper proposes approaches to mitigate them. This review and subsequent recommendations contribute and expand current understanding of open government data effectiveness and can lead to public policy changes, development of new procedures and strategies, and ultimately improvements at both ends of the federal open data endeavor.

Keywords

open access initiative; challenges of data sharing; data management; open government data; human-computer interaction; documentation; human factors; standardization; information policy

Subject

Computer Science and Mathematics, Information Systems

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