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future internet Article A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges Max Cappellari 1 , John Belstner 2, Bryan Rodriguez 2 and Jeff Sedayao 2,* 􏰁􏰂􏰃 􏰅􏰆􏰇 􏰈􏰉􏰊􏰋􏰌􏰂􏰍 Citation: Cappellari,M.;Belstner,J.; Rodriguez, B.; Sedayao, J. A Cloud-Based Data Collaborative to Combat the COVID-19 Pandemic and to Solve Major Technology Challenges. Future Internet 2021, 13, 61. https://doi.org/10.3390/ fi13030061 Academic Editors: Nane Kratzke and Paolo Bellavista Received: 11 January 2021 Accepted: 22 February 2021 Published: 27 February 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affil- iations. Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). 1. 2. 3. Comprising a collection of unique datasets and AI tools, this Data Collaborative would democratize data and the tools to analyze them, enabling virtually anyone, anywhere to use data to solve the world’s grandest challenges. It would provide access to the massive amounts of data that have been organized and cleaned so that it can be accessed in an accountable, transparent, and responsible manner. Data owners across industries and topic areas will feel safe in sharing their data while maintaining ownership, privacy, and security. Data scientists, as well as Machine Learning and Artificial Intelligence systems, will all have access to the Data Collabo- rative, resulting in enhanced problem-solving models and innovative approaches to solving Grand Challenges posed by XPRIZE competitions. 1 2 * Correspondence: jeff.sedayao@intel.com; Tel.: +1-408-765-2935 Abstract: The XPRIZE Foundation designs and operates multi-million-dollar, global competitions to incentivize the development of technological breakthroughs that accelerate humanity toward a better future. To combat the COVID-19 pandemic, the foundation coordinated with several organizations to make datasets about different facets of the disease available and to provide the computational resources needed to analyze those datasets. This paper is a case study of the requirements, design, and implementation of the XPRIZE Data Collaborative, which is a Cloud-based infrastructure that enables the XPRIZE to meet its COVID-19 mission and host future data-centric competitions. We examine how a Cloud Native Application can use an unexpected variety of Cloud technologies, ranging from containers, serverless computing, to even older ones such as Virtual Machines. We also search and document the effects that the pandemic had on application development in the Cloud. We include our experiences of having users successfully exercise the Data Collaborative, detailing the challenges encountered and areas for improvement and future work. Keywords: containers; virtual machines; cloud; COVID-19; serverless; analytics; software de- fined infrastructure 1. Introduction The XPRIZE Foundation [1–3] designs and operates multi-million-dollar, global com- petitions to incentivize the development of technological breakthroughs that accelerate humanity toward a better future. The foundation’s mission is to inspire and empower a global community of problem-solvers to positively impact our world. XPRIZE believes solutions to the world’s problems can come from anyone, anywhere. As part of that philosophy, XPRIZE looked to develop a Data Collaborative that will support the resolution of complex, global problems. It had three broad goals: XPRIZE Foundation, Culver City, CA 90230, USA; Max.Cappellari@xprize.org Intel Corporation, Santa Clara, CA 95054-1549, USA; john.belstner@intel.com (J.B.); bryan.j.rodriguez@intel.com (B.R.) Implementation of the Data Collaborative started in late 2019 but paused when the COVID-19 pandemic struck in early 2020. The XPRIZE Foundation decided to leverage ex- isting Data Collaborative plans to make COVID-19 relevant data available from the XPRIZE Future Internet 2021, 13, 61. https://doi.org/10.3390/fi13030061 https://www.mdpi.com/journal/futureinternet

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