scholarly journals Open cyberGIS software for geospatial research and education in the big data era

SoftwareX ◽  
2016 ◽  
Vol 5 ◽  
pp. 1-5 ◽  
Author(s):  
Shaowen Wang ◽  
Yan Liu ◽  
Anand Padmanabhan
Author(s):  
Ömer Özgenç ◽  
◽  
Nur Çağlar ◽  
Işıl Ruhi-Sipahioğlu

Global research output grows exponentially each year. This paper attempts to drive meaning out of this big data on two fields of research in architecture. It maps the interaction between the research fields of sustainability in architecture and architectural education through the perspective of bibliometric data analysis and its visualization. Based on the analysis of bibliometric data, it draws and juxtaposes two timelines for the field of sustainable architecture and the field of architectural education. The objective is to propose a retrospective method that can provide insight for a broader understanding of sustainability and its impacts on architectural education. It utilizes VOSviewer, CiteSpace, and Gephi to visualize bibliometric networks, along with Tableau to analyze the number of journal articles and publications published across years. The paper presents initial findings concerning the leading scholars, trends, and patterns of the research areas, milestone events, and dominant studies to point out the significance of the cooperation between research and education fields of the related topic.


Author(s):  
Rashmi Agrawal

In today's world, every time we connect phone to internet, pass through a CCTV camera, order pizza online, or even pay with credit card to buy some clothes, we generate data and that “ocean of data” is popularly known as big data. The amount of data that's being created and stored on a universal level is almost inconceivable, and it just keeps growing. The amount of data we create is doubled every year. Big data is a critical concept that integrates all kinds of data and plays an important role for strategic intelligence for any modern company. The importance of big data doesn't revolve around how much data you have, but what you do with it. Big data is now the key for competition and growth for new startups, medium, and big enterprises. Scientific research is now on boom using big data. For the astronomers, Sloan Digital Sky Survey has become a central resource. Big data has the potential to revolutionize research and education as well. The aim of this chapter is to discuss the technologies that are pertinent and essential for big data.


10.7125/40.16 ◽  
2015 ◽  
Vol 40 (0) ◽  
pp. 109
Author(s):  
Somkiat Dontongdang ◽  
Panjai Tantatsanawong ◽  
Ajchariya Saeung

2019 ◽  
Vol 8 (2) ◽  
pp. 4812-4819

Data mining is the procedure of bringing out the earlier unfold justifiable, logical, intelligible, functional information from large databases, big data to deliver accurate prediction, decision and implementation systems in engineering, business, research and education world. Data mining will effectively introduce the computing strategies and techniques to retrieve the applicable and convenient information from combined large databases known as big data. This paper signifies and explains Big data, Data mining and the importance and ease of Data mining using big data as a back end for delivering appropriate forecasts, prediction and experimental prospective solution as a front end.


2019 ◽  
Author(s):  
Simon Poon ◽  
Mark Latt ◽  
Michelle A Morris ◽  
Owen Johnson ◽  
Nicholas Fuggle ◽  
...  

BACKGROUND Digital health is an important part of the future of health care, prevention and management of disease and innovative monitoring solutions. With an aging population and rising health related costs, digital health is an essential part of the solution, alongside the emerging big data and associated analytics. To varying extents, digital health and big data are present worldwide. However, consistency in terminology, regulation and implementation differ. As an international network of interdisciplinary experts we review and discuss the digital health and big data landscape. OBJECTIVE We firstly identify current challenges and solutions in digital health development, research, deployment in the management of non-communicable disease and regulation and then go on to establish an ongoing and international collaboration of multidisciplinary researchers and educators; creating opportunities for research and education. METHODS The Digital Health Research Network was established using the Worldwide Universities Network as a platform and a funding resource. The newly formed network harnesses expertise from a wide array of academic disciplines within applications of digital health and big data for health. Meetings took place both electronically and face to face, with a Research Open Day in Sydney and the International Symposium for Digital Health in Hong Kong facilitating wider networking and discussion. RESULTS Many challenges working across disciplines in the digital health area have been identified. These include inconsistent definitions for digital health and big data, a diverse range of digital technologies available across the globe, differences in regulation of such technologies. There is not equity in resources and standards globally. He range of stakeholders involved in digital health and big data relating to health are extensive. It is important that these stakeholders can communicate effectively, with a common technical language. Continued development, education and widening engagement are integral components of developing digital health worldwide. CONCLUSIONS Digital Health is a necessary and sufficient factor in achieving health gains. However, in is critical that digital health is leveraged appropriately and that transformation of interdisciplinary practices can intelligently link digital health with care management processes to make a difference. The new interdisciplinary, International Society for Digital Health aims to provide a platform to facilitate this. CLINICALTRIAL n/a


2020 ◽  
Author(s):  
Mak A. Saito ◽  
Jaclyn K. Saunders ◽  
Michael Chagnon ◽  
David Gaylord ◽  
Adam Shepherd ◽  
...  

AbstractProteins are critical in catalyzing chemical reactions, forming key cellular structures, and in regulating cellular processes. Investigation of marine microbial proteins by metaproteomics methods enables the discovery of numerous aspects of microbial biogeochemistry processes. However, these datasets present big-data challenges as they often involve many samples collected across broad geospatial and temporal scales, resulting in thousands of protein identifications, abundances, and corresponding annotation information. The Ocean Protein Portal (OPP) was created to enable data sharing and discovery among multiple scientific domains and serve both research and education functions. The portal focuses on three use case questions: “Where is my protein of interest?”, “Who makes it?”, and “How much is there?”, and provides profile and section visualizations, real-time taxonomic analysis, and links to metadata, sequence analysis, and other external resources to enabling connections to be made between biogeochemical and proteomics datasets.


2020 ◽  
Vol 64 (6) ◽  
pp. 863-866
Author(s):  
Zhe Wu

Abstract The year 2019 marked the fortieth anniversary of the Chinese Society of Biochemistry and Molecular Biology (CSBMB), whose mission is to promote biomolecular research and education in China. The last 40 years have witnessed tremendous growth and achievements in biomolecular research by Chinese scientists and Essays in Biochemistry is delighted to publish this themed issue that focuses on exciting areas within RNA biology, with each review contributed by key experts from China.


Sign in / Sign up

Export Citation Format

Share Document