Open Data for Global Science

Uhlir, Paul F.; Schrøder, Peter Winther

doi:10.2481/dsj.6.od36

Cited by 95 publications

(67 citation statements)

References 2 publications

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“…The technology that we present in this article aims at fostering such examination of the data by a larger number of scientists, which can be achieved by storing the data at a persistent location and making them available under an open license. The advantages of open software and open data in science have been examined by many studies, which can, for example, be seen by a review paper published by von Krogh et al [35], but also in other articles, among them by Murray-Rust [36], and Uhlir and Schröder [37]. Among these advantages are the transparency of the methods and the results, and the traceability and potential replication of the results [38].…”

Section: Conceptual Overviewmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

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OpenStreetMap and other Volunteered Geographic Information datasets have been explored in the last years, with the aim of understanding how their meaning is rendered, of assessing their quality, and of understanding the community-driven process that creates and maintains the data. Research mostly focuses either on the data themselves while ignoring the social processes behind, or solely discusses the community-driven process without making sense of the data at a larger scale. A holistic understanding that takes these and other aspects into account is, however, seldom gained. This article describes a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the simultaneous examination of different aspects with the aim of gaining a more holistic view and facilitates the results' reproducibility. As an example of such uses, we discuss the project OSMvis. This project offers a number of visualizations, which use the datasets produced by the server infrastructure to explore and visually analyse different aspects of OpenStreetMap. While the server infrastructure can serve as a blueprint for similar endeavours, the created datasets are of interest themselves too.

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Section: Conceptual Overviewmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

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“…• Research skills: Open Data can facilitate the education of new researchers; for example, openly available datasets can be used to create games, activities and resources in order to promote learning in science education (Uhlir & Schröder, 2007;Bradley, Lancashire, Lang & Open Praxis, vol. 7 issue 4, October-December 2015, pp.…”

Section: Unlocking the Potential Of Open Data In Higher Educationmentioning

confidence: 99%

Open Data as Open Educational Resources: Towards transversal skills and global citizenship

2015

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Open Data is the name given to datasets which have been generated by international organisations, governments, NGOs and academic researchers, and made freely available online and openly-licensed. These datasets can be used by educators as Open Educational Resources (OER) to support different teaching and learning activities, allowing students to gain experience working with the same raw data researchers and policy-makers generate and use. In this way, educators can facilitate students to understand how information is generated, processed, analysed and interpreted.This paper offers an initial exploration of ways in which the use of Open Data can be key in the development of transversal skills (including digital and data literacies, alongside skills for critical thinking, research, teamwork, and global citizenship), enhancing students' abilities to understand and select information sources, to work with, curate, analyse and interpret data, and to conduct and evaluate research. This paper also presents results of an exploratory survey that can guide further research into Open Data-led learning activities. Our goal is to support educators in empowering students to engage, critically and collaboratively, as 21st century global citizens.

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“…On the other hand the private use of public data to deliver services that may be better than those delivered by government, privileges the more affluent members of society; certainly there are many examples of industries such as the pharmaceutical and biotechnical industries that use public research data that delivers enormous profits to themselves to the detriment of the public good. This exploitation of public data, particularly in the areas of health and the environment, is ameliorated by government and international policies which consider the public good should override private interest Uhlir & Schröder 2007). …”

Section: Resultsmentioning

confidence: 99%

The value and challenges of public sector information

Henninger

2013

CCS Journal

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The aim of this paper is to explore the concept of public sector information (PSI), what it is, its history and evolution, what constitutes its corpus of documents and the issues and challenges it presents to society, its institutions and to those who use and manage it. The paper, by examining the literatures of the law, political science, civil society, economics and information and library science explores the inherent tensions of access to and use of PSI-pragmatism vs. idealism; openness vs. secrecy; commerce vs. altruism; property vs. commons; public good vs. private good. It focusses on open government data (OGD)-a subset of what is popularly referred to as 'big data'-its background and development since much of the current debate of its use concerns its commercial value for both the private sector and the public sector itself. In particular it looks at the information itself which, driven by technologies of networks, data mining and visualisation gives value in industrial and economic terms, and in its ability to enable new ideas and knowledge.

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Open Data for Global Science

Cited by 95 publications

References 2 publications

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Open Data as Open Educational Resources: Towards transversal skills and global citizenship

The value and challenges of public sector information

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