Linked Open Government Data: Lessons from Data.gov.uk

Shadbolt, Nigel; O’Hara, Kieron; Berners‐Lee, Tim; Gibbins, Nicholas; Glaser, Hugh; Hall, Wendy; schraefel, m.c.

doi:10.1109/mis.2012.23

Cited by 228 publications

(131 citation statements)

References 4 publications

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“…Insufficient technical capabilities and lack of adequate technical infrastructure create a major impediment for data creation as well as data sharing (Sayogo et al 2014;Shadbolt et al 2012). One of the experts at the 14th IFIP I3E Conference panel commented that Ball too often datasets are not linked and there is a need for tools to derive links between datasets^.…”

Section: Discussionmentioning

confidence: 99%

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Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

et al. 2016

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Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions.

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Section: Discussionmentioning

confidence: 99%

“…Shadbolt et al (2012) consider how to bring open government data into the linkeddata web. They report that licensing restrictions are one of the biggest obstacles, management of an influx of heterogeneous data a challenge, and ease of citizen access and better infrastructure is critical to realize value.…”

Section: Literature Reviewmentioning

confidence: 99%

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

et al. 2016

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“…Following a different set of requirements, the media industry is also positioned as early adopters, using data curation pipelines to classify large collections of unstructured resources (text and video), improving the data consumption experience through better accessibility and maximizing its reuse under different contexts. The third major early adopters are governments, targeting transparency through open data projects (Shadbolt et al 2012).…”

Section: Social and Economic Impact Of Big Data Curationmentioning

confidence: 99%

“…The effort to produce and maintain high-quality data needs to be supported by a solid incentives system, which at this point in time is not fully in place. High-quality open data can be one of the drivers of societal impact by supporting more efficient and reproducible science (eScience) (Norris 2007), and more transparent and efficient governments (Ferrucci et al 2010) (eGovernment) (Shadbolt et al 2012). These sectors play the innovators and early adopters roles in the data curation technology adoption lifecycle and are the main drivers of innovation in data curation tools and methods.…”

Section: Emerging Paradigms For Big Data Curationmentioning

confidence: 99%

Big Data Curation

Freitas

Curry

2016

New Horizons for a Data-Driven Economy

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“…data discovery, cleaning, integration, browsing and visualization (e.g. [5]- [6]). However, despite the huge efforts that have been put into supporting both OGD publishing and consuming, the OGD movement has not yet realized its expected potential.…”

Section: Introductionmentioning

confidence: 99%

Linked Open Government Data Analytics

Kalampokis

Tambouris

Tarabanis

2013

Lecture Notes in Computer Science

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Abstract. Although the recently launched Open Government Data (OGD) movement promised to provide a number of benefits, recent studies have shown that its full potential has not yet realized. The difficulty in exploiting open data seems surprising if we consider the huge importance data have in modern societies. In this paper we claim that the real value of OGD will unveil from performing data analytics on top of combined statistical datasets that were previously closed in disparate sources and can now be linked to provide unexpected and unexplored insights. To support this claim, we describe the linked OGD analytics concept along with its technical requirements and demonstrate its end-user value employing a use case related to UK general elections. The use case revealed that there is a significant relationship between the probability one of the two main political parties (i.e. Labour Party and Conservative Party) to win in a UK constituency and the unemployment rate in the same constituency.

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Linked Open Government Data: Lessons from Data.gov.uk

Cited by 228 publications

References 4 publications

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

Big Data Curation

Linked Open Government Data Analytics

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