scholarly journals A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data

2021 ◽  
Author(s):  
Shiqin Liu ◽  
Carl Higgs ◽  
Jonathan Arundel ◽  
Geoff Boeing ◽  
Nicholas Cerdera ◽  
...  
Keyword(s):  
Open Data ◽  
The World ◽  
Generalized Framework ◽  
Pedestrian Accessibility

scholarly journals A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data

2021 ◽  
Author(s):  
Shiqin Liu ◽  
Carl Higgs ◽  
Jonathan Arundel ◽  
Geoff Boeing ◽  
Nicholas Cerdera ◽  
...  
Keyword(s):  
High Resolution ◽  
Open Source ◽  
Open Source Software ◽  
Spatial Data ◽  
City Planning ◽  
Open Data ◽  
Urban Transport ◽  
Local Planning ◽  
Generalized Framework ◽  
Pedestrian Accessibility

Pedestrian accessibility is an important factor in urban transport and land use policy and critical for creating healthy, sustainable cities. Developing and evaluating indicators measuring inequalities in pedestrian accessibility can help planners and policymakers benchmark and monitor the progress of city planning interventions. However, measuring and assessing indicators of urban design and transport features at high resolution worldwide to enable city comparisons is challenging due to limited availability of official, high quality, and comparable spatial data, as well as spatial analysis tools offering customizable frameworks for indicator construction and analysis. To address these challenges, this study develops an open source software framework to construct pedestrian accessibility indicators for cities using open and consistent data. It presents a generalized method to consistently measure pedestrian accessibility at high resolution and spatially aggregated scale, to allow for both within- and between-city analyses. The open source and open data methods developed in this study can be extended to other cities worldwide to support local planning and policymaking. The software is made publicly available for reuse in an open repository.

scholarly journals A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 315-324
Author(s):  
Juan M. Banda ◽  
Ramya Tekumalla ◽  
Guanyu Wang ◽  
Jingyuan Yu ◽  
Tuo Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Social Dynamics ◽  
Additional Data ◽  
Open Data ◽  
Data Sources ◽  
Research Projects ◽  
Research Groups ◽  
The World ◽  
Data Source

As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.

scholarly journals Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic

2021 ◽  
Author(s):  
Shinji Kobayashi ◽  
Luis Falcón ◽  
Hamish Fraser ◽  
Jørn Braa ◽  
Pamod Amarakoon ◽  
...  
Keyword(s):  
Open Source ◽  
Medical Informatics ◽  
Open Source Software ◽  
Collective Intelligence ◽  
Collaborative Work ◽  
Open Data ◽  
Theme Issue ◽  
Health Organizations ◽  
The World ◽  
Civic Technology

Objectives: The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic. Methods: In response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic. Results: FLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic. Conclusion: FLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data.

scholarly journals The State of Open Data: Histories and Horizons

2019 ◽  
Author(s):  
Tim Davies ◽  
Stephen B. Walker ◽  
Mor Rubinstein ◽  
Fernando Luis Perini
Keyword(s):  
Communities Of Practice ◽  
Open Data ◽  
The State ◽  
Data Movement ◽  
The Past ◽  
The World ◽  
To Come ◽  
Open Data Movement ◽  
New Phase ◽  
Real World Problems

Its been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.

Opportunities and Challenges for Civic Engagement

2019 ◽  
pp. 607-623
Author(s):  
Sarah Hartmann ◽  
Agnes Mainka ◽  
Wolfgang G. Stock
Keyword(s):  
Civic Engagement ◽  
Local Governments ◽  
Open Data ◽  
Value Added ◽  
Open Government ◽  
Web Portals ◽  
Open Government Data ◽  
The World ◽  
Government Data ◽  
The City

The population in many cities all over the world is continuously growing and with this growing number of people infrastructural, health and location-related problems increase. It is assumed that these problems could be addressed by means of open government data which many governments publish on their web portals so that it can be further processed and transformed. Since the citizens themselves know best what they need, governments encourage them to participate in open data innovation competitions and to create value added services for their city. The reuse of open urban government data during hackathons or app competitions is a new trend in knowledge societies of how governments and citizens work together. But have these events still become practice in local governments and are they helpful means to foster government-to-citizen communication and collaboration? The authors analyze innovation competitions in 24 world cities to see how they are applied and whether they have the potential to make the city “smart”.

scholarly journals Open Data in Qualitative Research

2019 ◽  
Vol 18 ◽  
pp. 160940691882386 ◽  
Author(s):  
Amelia Chauvette ◽  
Kara Schick-Makaroff ◽  
Anita E. Molzahn
Keyword(s):  
Qualitative Research ◽  
Ethical Issues ◽  
Secondary Analysis ◽  
Open Data ◽  
Research Data ◽  
Publicly Funded ◽  
Multiple Stakeholders ◽  
The World ◽  
Legal And Ethical Issues

There is a growing movement for research data to be accessed, used, and shared by multiple stakeholders for various purposes. The changing technological landscape makes it possible to digitally store data, creating opportunity to both share and reuse data anywhere in the world for later use. This movement is growing rapidly and becoming widely accepted as publicly funded agencies are mandating that researchers open their research data for sharing and reuse. While there are numerous advantages to use of open data, such as facilitating accountability and transparency, not all data are created equally. Accordingly, reusing data in qualitative research present some epistemological, methodological, legal, and ethical issues that must be addressed in the movement toward open data. We examine some of these challenges and make a case that some qualitative research data should not be reused in secondary analysis.

scholarly journals Use of Open Data in the Development of the Digital Economy in the Knowledge Society in the Era of Globalization

2020 ◽  
Vol 74 ◽  
pp. 03008
Author(s):  
Katarina Repkova Stofkova ◽  
Jana Stofkova
Keyword(s):  
Slovak Republic ◽  
Knowledge Society ◽  
Open Data ◽  
Personal Data ◽  
International Study ◽  
Digital Economy ◽  
Control Mechanisms ◽  
New Information ◽  
The World ◽  
The Right

Process of electronization is one of the milestones in the development of technological processes that leads to an improvement in the quality of life of citizens. The process of electronization is taking place all over the world. From the world leaders in the field of digitization of processes and data it is necessary to solve many things in the Slovak Republic, the development is in the right direction. The concept of national disclosure and delivery of important information is being addressed. The implementation of new information communication technologies and the introduction of processes have improved the awareness of citizens and businesses. By introducing open data into datasets, it also helps businesses to perform their activities more effectively. Open data contains non-personal data that is accessible to all and can be freely used, reused and distributed by everyone. This means that a certain type of data is available to everyone, in order to use and publish it at their own discretion, without restricting copyright, patents, or other control mechanisms. Improving aspects include raising awareness among citizens and businesses, improving the content of institutions providing such data, and so on. As part of the International Digital Economy and Society International Study, as well as the National Digital Economy and Society Index, a number of researches have been carried out that describe information and digitization. The paper lists the results of the survey focused on the ongoing development of the digital services.

scholarly journals Machine Translation: Phrase-Based, Rule-Based and Neural Approaches with Linguistic Evaluation

2017 ◽  
Vol 17 (2) ◽  
pp. 28-43 ◽  
Author(s):  
Vivien Macketanz ◽  
Eleftherios Avramidis ◽  
Aljoscha Burchardt ◽  
Jindrich Helcl ◽  
Ankit Srivastava
Keyword(s):  
Machine Translation ◽  
Evaluation Method ◽  
Open Data ◽  
Linked Open Data ◽  
Rule Based ◽  
Named Entity ◽  
Phrase Extraction ◽  
Translation Rule ◽  
The World

Abstract In this article we present a novel linguistically driven evaluation method and apply it to the main approaches of Machine Translation (Rule-based, Phrase-based, Neural) to gain insights into their strengths and weaknesses in much more detail than provided by current evaluation schemes. Translating between two languages requires substantial modelling of knowledge about the two languages, about translation, and about the world. Using English-German IT-domain translation as a case-study, we also enhance the Phrase-based system by exploiting parallel treebanks for syntax-aware phrase extraction and by interfacing with Linked Open Data (LOD) for extracting named entity translations in a post decoding framework.

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