Open Government and (Linked) (Open) (Government) (Data)

Geiger, Christian; Lucke, Jörn von

doi:10.29379/jedem.v4i2.143

Cited by 102 publications

(57 citation statements)

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“…Metadata only describes content; it does not force a structuration of content. One level up describes structuration that enables the exchange of data (file formats and character encoding), which can vary in their level of machine readability, openness of formats and descriptions (Geiger and von Lucke, 2012). At the next level is structuration of specific content within a dataset (e.g., geographic coordinates expressed as latitude and longitude).…”

Section: Characterizing An Open Government Data Standardmentioning

confidence: 99%

“…Nalchigar and Fox (2014) proposed an ontology for the Open311 schema in which, for example, a service_request has a specific Address and 311 {complaint} Type; it has to be handled by some Agency. The most discussed standard in the international community is linked open data for government data (i.e., ontologies plus permanent web links) (Shadbolt et al, 2012;Geiger & von Lucke, 2012). According to Shadbolt et al (2012), linked open government data reduces state monopoly over many useful datasets.…”

Section: Characterizing An Open Government Data Standardmentioning

confidence: 99%

“…PDF is a considered an "infamous" open data file format. While a pdf is open because end users have freedom of access, it is technically not machine readable (Geiger & von Lucke, 2012) because the data cannot "be filtered, sorted, reshaped and manipulated without copying/pasting or re-typing in data" (Davies, Perini, & Alonso, 2013, pp. 6-7).…”

Section: Interoperability Metricsmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating Civic Open Data Standards

Sieber¹,

Bloom²

2018

Preprint

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Abstract:In many ways, a precondition to realizing the promise of open government data is the standardization of that data. Open data standards ensure interoperability, establish benchmarks in assessing whether governments achieve their goals in publishing open data, can better ensure accuracy of the data. Interoperability enables the use of off-the shelf software and can ease third party development of products that serves multiple locales. Our project aims to determine which standards for civic data are "best" to open up government data. We began by disambiguating the multiple meanings of what constitutes a data standard by creating a standards stack. The empirical research started by identifying twelve "high value" open datasets for which we found 22 data standards. A qualitative systematic review of the gray literature and standards documentation generated 18 evaluation metrics, which we grouped into four categories. We evaluated the metrics with civic data standards. Our goal is to identify and characterize types of standards and provide a systematic way to assess their quality.

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Section: Characterizing An Open Government Data Standardmentioning

confidence: 99%

Section: Characterizing An Open Government Data Standardmentioning

confidence: 99%

Section: Interoperability Metricsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating Civic Open Data Standards

Sieber¹,

Bloom²

2018

Preprint

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“…Hence, governmental and semi-governmental agencies keep publishing their data for free [10], [11]. Recent studies show that the reuse of OGD can improve economic growth, accountability and transparency [12], [13].…”

Section: Open Government Datamentioning

confidence: 99%

Outstanding Challenges in Recent Open Government Data Initiatives

Algemili¹

2016

IJEEEE

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Abstract:In recent years, we have witnessed increasing interest in government data. Many governments around the world have sensed the value of its passive data sets. These governments started their Open Data policies, yet many countries are on the way converting raw data into useful representation. This paper surveys the previous efforts of Open Data initiatives. It discusses the various challenges that open data projects may encounter during the transformation from passive data sets towards Open Data culture. It reaches out project teams acquiring their practical assessment. Thus, an online form has been distributed among project teams. The questionnaire was developed in alignment with previous literature of data integration challenges. 138 eligible professional participated, and their responds has been analyzed by the researcher. The result section identifies the most critical challenges from project-teams' point-of-view, and the findings show four obstacles that stand out as critical challenges facing project teams. This paper casts on these challenges, and it attempts to indicate the missing gap between current guidelines and practical experience. Accordingly, this paper presents the current infrastructure of Open Data framework followed by additional recommendations that may lead to successful implementation of Open Data development.

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“…Coordination is important, because it may lead to increased understanding of the open data process and could result in concerted action [6], improved performance [7,8] and improved policies. In addition, it can help to accomplish advantages, such as increased transparency [9,10], economic growth and innovation [10,11], empowerment of open data user [9,12] and improvement of policy and decision making [9,10].…”

Section: Introductionmentioning

confidence: 99%