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Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma


Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma
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Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma


Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma
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Author : Jung, Christopher
language : en
Publisher: KIT Scientific Publishing
Release Date : 2017-09-20

Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma written by Jung, Christopher and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-20 with Electronic computers. Computer science categories.


The Helmholtz Association funded the ""Large-Scale Data Management and Analysis"" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.



Data Intensive Radio Astronomy


Data Intensive Radio Astronomy
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Author : Eleni Vardoulaki
language : en
Publisher: Springer Nature
Release Date : 2024-11-07

Data Intensive Radio Astronomy written by Eleni Vardoulaki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-07 with Science categories.


Radio astronomy is irreversibly moving towards the exabyte era. In the advent of all-sky radio observations, efficient tools and methods to manage the large data volume generated have become imperative. This book brings together the knowledge of several different research fields to present an overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle: Data creation, storage and archives Data processing Post-processing and data analysis Data access and reuse Large data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radio telescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more. Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments.



Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma


Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma
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Author : Christopher [Hrsg]Meyer Jörg [Hr Jung
language : en
Publisher:
Release Date : 2020-10-09

Helmholtz Portfolio Theme Large Scale Data Management And Analysis Lsdma written by Christopher [Hrsg]Meyer Jörg [Hr Jung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-09 with Computers categories.


The Helmholtz Association funded the ""Large-Scale Data Management and Analysis"" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.



Praxishandbuch Forschungsdatenmanagement


Praxishandbuch Forschungsdatenmanagement
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Author : Markus Putnings
language : de
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-01-18

Praxishandbuch Forschungsdatenmanagement written by Markus Putnings and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-18 with Language Arts & Disciplines categories.


Aktuelle Geschehnisse wie das Inkrafttreten des Kodex „Leitlinien zur Sicherung guter wissenschaftlicher Praxis" der Deutschen Forschungsgemeinschaft (DFG) oder der Aufbau der Nationalen Forschungsdateninfrastruktur (NFDI) und der European Open Science Cloud (EOSC) stellen Anbietende, Produzierende und Nutzende von Forschungsdaten vor fachwissenschaftliche, technische, rechtliche und organisatorische Herausforderungen. Das Praxishandbuch Forschungsdatenmanagement behandelt umfassend alle relevanten Aspekte des Forschungsdatenmanagements und der derzeitigen Rahmenbedingungen im Datenökosystem. Insbesondere die praktischen Implikationen der Datenpolitik und des -rechts, des jeweiligen Datenmarkts, der Datenkultur, der persönlichen Qualifizierung, des Datenmanagements sowie des „FAIR"en Datentransfers und der Datennachnutzung werden untersucht. Das Praxishandbuch gibt überdies einen Überblick über Projekte, Entwicklungen und Herausforderungen beim Forschungsdatenmanagement. Am 16. Juni 2021 fand ein Interview mit dem Herausgeber und den Herausgeberrinnen statt, das Ihnen Einblicke in die Intentionen, inhaltlichen Einflüsse sowie ihre Gedanken für die Zukunft des Forschungsdatenmanagements gibt. Hier finden Sie das Webinar auf Youtube : https://www.youtube.com/watch?v=H-v1KPTWsac



A Middle East Free Of Weapons Of Mass Destruction


A Middle East Free Of Weapons Of Mass Destruction
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Author : Seyed Hossein Mousavian
language : en
Publisher: Routledge
Release Date : 2020-04-17

A Middle East Free Of Weapons Of Mass Destruction written by Seyed Hossein Mousavian and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Political Science categories.


The establishment of a Middle East zone free of nuclear weapons, a concept more recently broadened to cover all weapons of mass destruction (WMD), has been before the international community for decades. In this book, two experts from the region explore why the matter remains unresolved, and outline a comprehensive yet achievable roadmap to a Middle East free of WMD. Weapons of mass destruction pose an existential threat to global peace and security. But nowhere is it more urgent to stem their spread than in the Middle East, a region fraught with mistrust and instability. Accounting for these geopolitical realities, including the ongoing talks to curb Iran’s nuclear program, the authors present a practical and innovative strategy to a Middle East free of weapons of mass destructions (WMD). They outline a phased approach toward disarmament in the region, prescribing confidence-building measures and verification tools to create trust among the region’s governments. Their vision also sees the realization of a WMD-free zone within a broader regional agenda for security and cooperation to advance socioeconomic and political progress. This book will be of great interest to students and scholars of international relations, politics and security studies in the Middle East.



Algorithm Engineering


Algorithm Engineering
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Author : Matthias Müller-Hannemann
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-08-05

Algorithm Engineering written by Matthias Müller-Hannemann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-05 with Computers categories.


Algorithms are essential building blocks of computer applications. However, advancements in computer hardware, which render traditional computer models more and more unrealistic, and an ever increasing demand for efficient solution to actual real world problems have led to a rising gap between classical algorithm theory and algorithmics in practice. The emerging discipline of Algorithm Engineering aims at bridging this gap. Driven by concrete applications, Algorithm Engineering complements theory by the benefits of experimentation and puts equal emphasis on all aspects arising during a cyclic solution process ranging from realistic modeling, design, analysis, robust and efficient implementations to careful experiments. This tutorial - outcome of a GI-Dagstuhl Seminar held in Dagstuhl Castle in September 2006 - covers the essential aspects of this process in ten chapters on basic ideas, modeling and design issues, analysis of algorithms, realistic computer models, implementation aspects and algorithmic software libraries, selected case studies, as well as challenges in Algorithm Engineering. Both researchers and practitioners in the field will find it useful as a state-of-the-art survey.