scholarly journals Motivation Perspectives on Opening up Municipality Data: Does Municipality Size Matter?

Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 267 ◽  
Author(s):  
Anneke Zuiderwijk ◽  
Cécile Volten ◽  
Maarten Kroesen ◽  
Mark Gill

National governments often expect municipalities to develop toward open cities and be equally motivated to open up municipal data, yet municipalities have different characteristics influencing their motivations. This paper aims to reveal how municipality size influences municipalities’ motivation perspectives on opening up municipality data. To this end, Q-methodology is used, which is a method that is suited to objectify people’s frames of mind on a particular topic. By applying this method to 37 municipalities in the Netherlands, we elicited the motivation perspectives of three main groups of municipalities: (1) advocating municipalities, (2) careful municipalities, and (3) conservative municipalities. We found that advocating municipalities are mainly large-sized municipalities (>65,000 inhabitants) and a few small-sized municipalities (<35,000 inhabitants). Careful municipalities concern municipalities of all sizes (small, medium, and large). The conservative municipality perspective is more common among smaller-sized municipalities. Our findings do not support the statement “the smaller the municipality, the less motivated it is to open up its data”. However, the type and amount of municipality resources do influence motivations to share data or not. We provide recommendations for how open data policy makers on the national level need to support the three groups of municipalities and municipalities of different sizes in different ways to stimulate the provision of municipal data to the public as much as possible. Moreover, if national governments can identify which municipalities adhere to which motivation perspective, they can then develop more targeted open data policies that meet the requirements of the municipalities that adhere to each perspective. This should result in more open data value creation.

2019 ◽  
Vol 11 (1) ◽  
pp. 140-151 ◽  
Author(s):  
Mohammed Zia ◽  
Ziyadin Cakir ◽  
Dursun Zafer Seker

Abstract Number of studies covering major data aspects of OpenStreetMap (OSM) for developed cities and countries are available in scientific literature. However, this is not the case for developing ones mainly because of low data availability in OSM. This study presents a time-series spatial analysis of Turkey OSM dataset, a developing country, between the year 2007 and 2015 to understand how the dataset has developed with time and space. Five different socio-economic factors of the region are tested to find their relationship, if any, with dataset growth. An east-west spatial trend in data density is observed within the country. Population Density and Literacy Level of the region are found be the factors controlling it. It has also been observed that the street network of the region has followed the Exploration and Densification evolutionary model. High participation inequality is found within the OSM mappers, with only 5 of them responsible for the country’s 50% geo-data upload. Furthermore, it is found that these mappers use other Volunteered Geographic Information (VGI) and government open-dataset to feed into OSM. This study is believed to bring some high level insights of OSM for a developing country which would be useful for geographers, open-data policy makers, VGI projects planners and data-curators to structure and deploy similar future projects.


Author(s):  
Li Yue ◽  
Dan Xue ◽  
Muhammad Umar Draz ◽  
Fayyaz Ahmad ◽  
Jiaojiao Li ◽  
...  

Urbanization has made tremendous contributions to China’s economic development since its economic reforms and opening up. At the same time, population agglomeration has aggravated environmental pollution and posed serious challenges to China’s environment. This article empirically investigates the impacts of China’s urbanization on eco-efficiency, comprehensively reflecting economic growth, resource input, and waste discharge. We first measured the provincial eco-efficiency in China from 2005 to 2015 using the Super Slack-Based model (Super-SBM). We then constructed a spatial model to empirically analyze the effects of urbanization on eco-efficiency at the national level, and at four regional levels. The results indicated that the regional eco-efficiency in China has fluctuated, but is generally improving, and that a gap between regions was evident, with a trend toward further gap expansion. We observed an effect of spatial spillover in eco-efficiency, which was significant and positive for the whole country, except for the western region. The influence of urbanization on China’s eco-efficiency exhibited a U-curve relationship. The changing trend in the eastern, central, and western regions was the same as that in the whole country; however, the trend exhibited an inverted U-curve relationship in the northeastern region. To the best of our knowledge, covering a time period of 2005–2015, this article is the first of its kind to study the impact of urbanization on eco-efficiency in China at both the national and regional levels. This study may help policy-makers to create sustainable policies that could be helpful in balancing urbanization and the ecological environment.


Author(s):  
Terry Buss

Governments around the world recently launched policies to make public data more accessible and transparent. Policies are intended to encourage more interaction between government and citizens, foster accountability, and improve efficiency, effectiveness, economy, and perhaps equity. Open data initiatives depend almost entirely on information technology, applications, data and security. Policies while laudable have produced mixed results as governments implement them. Governments have been more or less successful depending on how much support they have among policy makers and the civil service, the extent to which whistle blowers and hackers have exploited the systems, met demands of citizens and stakeholders, made available funding in the right amounts over the long-term, and held people accountable. In spite of advances in open data, its long term impact on government performance and indeed democracy has yet to be determined.


2020 ◽  
Vol 46 (1) ◽  
pp. 55-75
Author(s):  
Ying Long ◽  
Jianting Zhao

This paper examines how mass ridership data can help describe cities from the bikers' perspective. We explore the possibility of using the data to reveal general bikeability patterns in 202 major Chinese cities. This process is conducted by constructing a bikeability rating system, the Mobike Riding Index (MRI), to measure bikeability in terms of usage frequency and the built environment. We first investigated mass ridership data and relevant supporting data; we then established the MRI framework and calculated MRI scores accordingly. This study finds that people tend to ride shared bikes at speeds close to 10 km/h for an average distance of 2 km roughly three times a day. The MRI results show that at the street level, the weekday and weekend MRI distributions are analogous, with an average score of 49.8 (range 0–100). At the township level, high-scoring townships are those close to the city centre; at the city level, the MRI is unevenly distributed, with high-MRI cities along the southern coastline or in the middle inland area. These patterns have policy implications for urban planners and policy-makers. This is the first and largest-scale study to incorporate mobile bike-share data into bikeability measurements, thus laying the groundwork for further research.


Author(s):  
Cathie Martin ◽  
Tom Chevalier

Why did historical anti-poverty programs in Britain, Denmark and France differ so dramatically in their goals, beneficiaries and agents for addressing poverty? Different cultural views of poverty contributed to how policy makers envisioned anti-poverty reforms. Danish elites articulated social investments in peasants as necessary to economic growth, political stability and societal strength. British elites viewed the lower classes as a challenge to these goals. The French perceived the poor as an opportunity for Christian charity. Fiction writers are overlooked political agents who engage in policy struggles. Collectively, writers contribute to a country's distinctive ‘cultural constraint’, or symbols and narratives, which appears in the national-level aggregation of literature. To assess cross-national variations in cultural depictions of poverty, this article uses historical case studies and quantitative textual analyses of 562 British, 521 Danish and 498 French fictional works from 1770 to 1920.


Author(s):  
Osmat Azzam Jefferson ◽  
Simon Lang ◽  
Kenny Williams ◽  
Deniz Koellhofer ◽  
Aaron Ballagh ◽  
...  

AbstractCRISPR-Cas9 is a revolutionary technology because it is precise, fast and easy to implement, cheap and components are readily accessible. This versatility means that the technology can deliver a timely end product and can be used by many stakeholders. In plant cells, the technology can be applied to knockout genes by using CRISPR–Cas nucleases that can alter coding gene regions or regulatory elements, alter precisely a genome by base editing to delete or regulate gene expression, edit precisely a genome by homology-directed repair mechanism (cellular DNA), or regulate transcriptional machinery by using dead Cas proteins to recruit regulators to the promoter region of a gene. All these applications can be for: 1) Research use (Non commercial), 2) Uses related product components for the technology itself (reagents, equipment, toolkits, vectors etc), and 3) Uses related to the development and sale of derived end products based on this technology. In this contribution, we present a prototype report that can engage the community in open, inclusive and collaborative innovation mapping. Using the open data at the Lens.org platform and other relevant sources, we tracked, analyzed, organized, and assembled contextual and bridged patent and scholarly knowledge about CRISPR-Cas9 and with the assistance of a new Lens institutional capability, The Lens Report Builder, currently in beta release, mapped the public and commercial innovation pathways of the technology. When scaled, this capability will also enable coordinated editing and curation by credentialed experts to inform policy makers, businesses and private or public investment.


Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 621
Author(s):  
Giuseppe Psaila ◽  
Paolo Fosci

Internet technology and mobile technology have enabled producing and diffusing massive data sets concerning almost every aspect of day-by-day life. Remarkable examples are social media and apps for volunteered information production, as well as Open Data portals on which public administrations publish authoritative and (often) geo-referenced data sets. In this context, JSON has become the most popular standard for representing and exchanging possibly geo-referenced data sets over the Internet.Analysts, wishing to manage, integrate and cross-analyze such data sets, need a framework that allows them to access possibly remote storage systems for JSON data sets, to retrieve and query data sets by means of a unique query language (independent of the specific storage technology), by exploiting possibly-remote computational resources (such as cloud servers), comfortably working on their PC in their office, more or less unaware of real location of resources. In this paper, we present the current state of the J-CO Framework, a platform-independent and analyst-oriented software framework to manipulate and cross-analyze possibly geo-tagged JSON data sets. The paper presents the general approach behind the J-CO Framework, by illustrating the query language by means of a simple, yet non-trivial, example of geographical cross-analysis. The paper also presents the novel features introduced by the re-engineered version of the execution engine and the most recent components, i.e., the storage service for large single JSON documents and the user interface that allows analysts to comfortably share data sets and computational resources with other analysts possibly working in different places of the Earth globe. Finally, the paper reports the results of an experimental campaign, which show that the execution engine actually performs in a more than satisfactory way, proving that our framework can be actually used by analysts to process JSON data sets.


2021 ◽  
Vol 13 (2) ◽  
pp. 169-187
Author(s):  
Lise Esther Herman ◽  
Julian Hoerner ◽  
Joseph Lacey

AbstractOver the last decade, the EU’s fundamental values have been under threat at the national level, in particular among several Central and Eastern European states that joined the EU since 2004. During this time, the European People’s Party (EPP) has been criticized for its unwillingness to vote for measures that would sanction the Hungarian Fidesz government, one of its members, in breach of key democratic principles since 2010. In this paper, we seek to understand how cohesive the EPP group has been on fundamental values-related votes, how the position of EPP MEPs on these issues has evolved over time, and what explains intra-EPP disagreement on whether to accommodate fundamental values violators within the EU. To address these questions, we analyse the votes of EPP MEPs across 24 resolutions on the protection of EU fundamental values between 2011 and 2019. Our findings reveal below-average EPP cohesion on these votes, and a sharp increase in the tendency of EPP MEPs to support these resolutions over time. A number of factors explain the disagreements we find. While the EPP’s desire to maintain Fidesz within its ranks is central, this explanation does not offer a comprehensive account of the group’s accommodative behaviour. In particular, we find that ideological factors as well as the strategic interests of national governments at the EU level are central to understanding the positions of EPP MEPs, as well as the evolution of these positions over time. These results further our understanding of the nature of the obstacles to EU sanctions in fundamental values abuse cases, and the role of partisanship in fuelling EU inaction especially.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Heikki S. Lehtonen ◽  
Jyrki Aakkula ◽  
Stefan Fronzek ◽  
Janne Helin ◽  
Mikael Hildén ◽  
...  

AbstractShared socioeconomic pathways (SSPs), developed at global scale, comprise narrative descriptions and quantifications of future world developments that are intended for climate change scenario analysis. However, their extension to national and regional scales can be challenging. Here, we present SSP narratives co-developed with stakeholders for the agriculture and food sector in Finland. These are derived from intensive discussions at a workshop attended by approximately 39 participants offering a range of sectoral perspectives. Using general background descriptions of the SSPs for Europe, facilitated discussions were held in parallel for each of four SSPs reflecting very different contexts for the development of the sector up to 2050 and beyond. Discussions focused on five themes from the perspectives of consumers, producers and policy-makers, included a joint final session and allowed for post-workshop feedback. Results reflect careful sector-based, national-level interpretations of the global SSPs from which we have constructed consensus narratives. Our results also show important critical remarks and minority viewpoints. Interesting features of the Finnish narratives compared to the global SSP narratives include greater emphasis on environmental quality; significant land abandonment in SSPs with reduced livestock production and increased plant-based diets; continued need for some farm subsidies across all SSPs and opportunities for diversifying domestic production under scenarios of restricted trade. Our results can contribute to the development of more detailed national long-term scenarios for food and agriculture that are both relevant for local stakeholders and researchers as well as being consistent with global scenarios being applied internationally.


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