Open Access Community Events
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Open Science in Big Data (OSBD) Workshop
10 December 2018 - 13 December 2018
“Open science” encompasses efforts on the part of scientists to improve reproducibility of original research. This includes publishing data sets, providing free and open access to resulting publications, and releasing code under open source licenses. Proprietary software and closely guarded datasets have given way to vibrant open source communities and open access journals.
Applications in big data, however, have been uniquely challenging to incorporate into open science. These complications include datasets too large to host publicly, extensive codebases in highly customized compute platforms, and lack of available computing resources to efficiently replicate the original research environment.
This workshop will focus on the current practices of and future directions for democratizing big data analytics and improving reproducibility of research in big data.
The IEEE International Conference on Big Data 2018 (IEEE Big Data 2018) provides a leading forum for disseminating the latest research in Big Data. IEEE Big Data brings together leading researchers and developers from academia, research and the industry from all over the world to facilitate innovation, knowledge transfer and technical progress in addressing the 5 V’s (Velocity, Volume, Variety, Value and Veracity) of Big Data. The purpose of the conference is to identify deep technical and scientific nature of big data problems, and share the future direction on the development of next-generation solutions for data-driven decision making. The conference will attract high-quality theory and applied research findings in big data science and foundations, big data infrastructure, big data management, big data search & mining, privacy/security, and big data applications. The attendees will get the opportunity to learn about the recent research results, and be able to network with some of the leading luminaries, researchers and practitioners in this area.