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Following the first conversion of a portion of IGI Global’s hybrid open access/subscription-based journals to gold open access (OA) in 2021, and then again in 2022, IGI Global is pleased to announce that the remainder of their hybrid open access/subscription-based journal collection will officially convert to gold OA beginning January 1st, 2023.
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Open Access Book (Free Access) - New Models of Higher Education: Unbundled, Rebundled, Customized, and DIY (ISBN: 9781668438091)
The Walmart Corporation and the Lumina Foundation have provided funding to make the publication, New Models of Higher Education: Unbundled, Rebundled, Customized, and DIY (ISBN: 9781668438091), Fully Open Access, completely removing any paywall between researchers in education and the new models for the future of higher education.
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Through a Collaboration between IGI Global and the University of North Texas, the Handbook of Research on the Global View of Open Access and Scholarly Communications (ISBN: 9781799898054) has been published as Fully Open Access, completely removing any paywall between researchers of any field, and the latest research on the equitable and inclusive nature of Open Access and all of its complications.
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What is E-Science
1.
is a new type of scientific research based on the collaboration within a number of scientific areas, enabled by a next generation infrastructure, wherein people, computing resources, data and instruments are brought together to bring a new quality to the everyday work of researchers.
Learn more in: Provenance Tracking and End-User Oriented Query Construction
2.
Cyber-based environment that consists of advanced computing technologies, networks, large datasets, distributed grids, visualization tools and people to enable scientific research.
Learn more in: A Novel Strategy to Improve STEM Education: The E-Science Approach
3.
The co-operative work of scientists with various competences at different sites over an ICT connection in order to achieve a common scientific goal.
Learn more in: Networked Experiments in Global E-Science
4.
Computationally intensive science carried out through distributed global collaborations enabled by the Internet, involving access to large data collections, very large scale computing resources and high performance visualization.
Learn more in: Cyberinfrastructure, Science Gateways, Campus Bridging, and Cloud Computing
5.
E-Science
(or eScience) is used to describe computation intensive or data intensive science that is carried out in highly distributed network environments, especially grid computing. This term was first presented by John Taylor, the Director General of the United Kindom’s Office of Science and Technology in 1999, to describe “the global collaboration in key areas of science, and the next generation of infrastructure that will enable it.”
Learn more in: A Graphical Workflow Modeler for Docking Process in Drug Discovery
6.
The cooperative work of scientists with various competences at different sites over an ICT connection in order to achieve a common scientific goal.
Learn more in: Design and Managing of Distributed Virtual Organizations
7.
A virtual way to build a scientific community over an information and communication technology infrastructure.
Learn more in: A Framework for Semantic Grid in E-Science
8.
A way of conducting multidisciplinary scientific research, which is enabled by designated distributed computing infrastructures.
Learn more in: Grid, P2P and SOA Orchestration: An Integrated Application Architecture for Scientific Collaborations
9.
Modality of performing scientific research through distributed global collaborations enabled by the Internet, using very large data collections and high performance computing resources.
Learn more in: Virtual Enterprise Environments for Scientific Experiments
10.
Modality of performing experiments in silico in a cooperative way by resorting to information and communication technology (ICT)
Learn more in: ALBA Cooperative Environment for Scientific Experiments
11.
A computationally intensive science that either is accomplished in massive distributed network environments, or uses large data sets whose processing required distributed computing infrastructures.
Learn more in: Computational Thinking in Innovative Computational Environments and Coding
12.
Modality of performing experiments in silico in a cooperative way by resorting to information and communication technology (ICT).
Learn more in: Setting the Framework of E-Collaboration for E-Science
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Handbook of Research on Computational Grid...
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