Data Stewardship For Open Science implementing FAIR principles Barend Mons

By: Mons, Barend [VerfasserIn]
Material type: TextTextLanguage: English Publisher: Boca Raton CRC Press, Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an informa business [2018]Description: xviii, 226 pages 24 cmContent type: Text Media type: ohne Hilfsmittel zu benutzen Carrier type: BandISBN: 9781498753173; 9780815348184Subject(s): Wissenschaft | Forschung | Datenverwaltung | Open Access | Information resources management | Information technology -- Management | Data curation | Data curation | Information resources management | Information technology | Data curation | Information resources management | Information technology Management | Wissenschaft | Forschung | Datenverwaltung | Open Access | DDC classification: 570.285/57 LOC classification: T58.64Other classification: AN 73800 Summary: Introduction: Data stewardship for open science -- Data cycle step 1: Design of experiment -- Data cycle step 2: Data design and planning -- Data cycle step 3: Data capture (equipment phase) -- Data cycle step 4: Data processing and curation -- Data cycle step 5: Data linking and "integration" -- Data cycle step 6: Data analysis, interpretation -- Data cycle step 7: Information and insight publishingSummary: "Data scientists and data experts in general will play a key role in the sciences in the decades to come. Yet there is not a comprehensive and flexible study book for the 'data steward' of today and the future. This practical book aims to remedy that. This book is written initially from a life-science perspective, but most approaches discussed and linked are of importance for all disciplines. The basic structure follows the so-called data stewardship cycle, from study design to interpretation and long term archiving and availability of data"--
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"A Chapman & Hall Book."

Includes bibliographical references (pages 219-221 ) and index

Introduction: Data stewardship for open science -- Data cycle step 1: Design of experiment -- Data cycle step 2: Data design and planning -- Data cycle step 3: Data capture (equipment phase) -- Data cycle step 4: Data processing and curation -- Data cycle step 5: Data linking and "integration" -- Data cycle step 6: Data analysis, interpretation -- Data cycle step 7: Information and insight publishing

"Data scientists and data experts in general will play a key role in the sciences in the decades to come. Yet there is not a comprehensive and flexible study book for the 'data steward' of today and the future. This practical book aims to remedy that. This book is written initially from a life-science perspective, but most approaches discussed and linked are of importance for all disciplines. The basic structure follows the so-called data stewardship cycle, from study design to interpretation and long term archiving and availability of data"--

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