scholarly journals The Businesses of Open Data and Open Source: Some Key Similarities and Differences

2014 ◽  
Vol 4 (1) ◽  
pp. 12-17
Author(s):  
Juho Lindman ◽  
Linus Nyman
Keyword(s):  
Open Source ◽  
Open Data ◽  
Similarities And Differences

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 Learning Open Science by doing Open Science. A reflection of a qualitative research project-based seminar

2020 ◽  
Vol 36 (3) ◽  
pp. 263-279
Author(s):  
Isabel Steinhardt
Keyword(s):  
Qualitative Research ◽  
Open Source ◽  
Knowledge Society ◽  
Open Data ◽  
Open Science ◽  
Research Project ◽  
Science Practices ◽  
Bachelor's Degrees ◽  
Participatory Technologies ◽  
Digital Knowledge

Openness in science and education is increasing in importance within the digital knowledge society. So far, less attention has been paid to teaching Open Science in bachelor’s degrees or in qualitative methods. Therefore, the aim of this article is to use a seminar example to explore what Open Science practices can be taught in qualitative research and how digital tools can be involved. The seminar focused on the following practices: Open data practices, the practice of using the free and open source tool “Collaborative online Interpretation, the practice of participating, cooperating, collaborating and contributing through participatory technologies and in social (based) networks. To learn Open Science practices, the students were involved in a qualitative research project about “Use of digital technologies for the study and habitus of students”. The study shows the practices of Open Data are easy to teach, whereas the use of free and open source tools and participatory technologies for collaboration, participation, cooperation and contribution is more difficult. In addition, a cultural shift would have to take place within German universities to promote Open Science practices in general.

scholarly journals Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on

2011 ◽  
Vol 3 (1) ◽  
Author(s):  
Noel M O'Boyle ◽  
Rajarshi Guha ◽  
Egon L Willighagen ◽  
Samuel E Adams ◽  
Jonathan Alvarsson ◽  
...  
Keyword(s):  
Open Source ◽  
Open Data ◽  
Open Standards

A Web-Based Tool for Visualization of Biomolecular Network Comparison

2014 ◽  
Vol 556-562 ◽  
pp. 5482-5487
Author(s):  
Hui Ran Zhang ◽  
Xiao Long Shen ◽  
Jiang Xie ◽  
Dong Bo Dai
Keyword(s):  
Open Source ◽  
Undirected Graphs ◽  
Web Based ◽  
Network Comparison ◽  
Biomolecular Networks ◽  
Biomolecular Network ◽  
Visualization Tools ◽  
Similarities And Differences ◽  
Adaptive Visualization

Analyzing similarities and differences between biomolecular networks comparison through website intuitively could be a convenient and effective way for researchers. Although several network comparison visualization tools have been developed, none of them can be integrated into websites. In this paper, a web-based tool kit named dynamically adaptive Visualization of Biomolecular Network Comparison (Bio-NCV) is designed and developed. The proposed tool is based on Cytyoscape.js – a popular open-source library for analyzing and visualizing networks. Bio-NCV integrates arjor.js which including the Barnes-Hut algorithm and the Traer Physics library for processing in order to express the dynamically adaptive initialization. In addition, in order to maintain consistency, the counterparts in other networks will change while the nodes and edges in one of the compared networks change. Furthermore, Bio-NCV can deal with both directed and undirected graphs.

scholarly journals A Case Study of Crowdsourcing Imagery Coding in Natural Disasters

2017 ◽  
Author(s):  
Cobi Alison Smith
Keyword(s):  
Natural Disasters ◽  
Open Source ◽  
Real World ◽  
Disaster Response ◽  
Digital Humanities ◽  
Open Data ◽  
Geographic Information ◽  
Response And Recovery ◽  
Disaster Response And Recovery

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.

Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore

2018 ◽  
pp. 32-61
Author(s):  
Francesco Corcoglioniti ◽  
Marco Rospocher ◽  
Roldano Cattoni ◽  
Bernardo Magnini ◽  
Luciano Serafini
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
Fault Tolerant ◽  
Storage System ◽  
Open Data ◽  
Unstructured Data ◽  
Data Sources ◽  
Concept Design ◽  
Design Function ◽  
Eu Project

This chapter describes the KnowledgeStore, a scalable, fault-tolerant, and Semantic Web grounded open-source storage system to jointly store, manage, retrieve, and query interlinked structured and unstructured data, especially designed to manage all the data involved in Knowledge Extraction applications. The chapter presents the concept, design, function and implementation of the KnowledgeStore, and reports on its concrete usage in four application scenarios within the NewsReader EU project, where it has been successfully used to store and support the querying of millions of news articles interlinked with billions of RDF triples, both extracted from text and imported from Linked Open Data sources.

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