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Data Stewardship For Open Science : implementing FAIR principles / Barend Mons

LivresAuteur principal: Mons, Barend, 19..-...., AuteurLangue: anglais.Éditeur : Boca Raton (Fla.) : Taylor & Francis Group • C 2018Description : 1 vol. (XVIII-226 p.) : ill. en noir et blanc, fig., couv. ill. en coul. ; 23 cmISBN: 978-1-4987-5317-3; 1-4987-5317-5; 978-0-8153-4818-4; 0-8153-4818-5.Note de contenu: 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 Résumé : "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"Sujet - Nom commun: Gestion de l'information | Technologie de l'information Gestion | Information électronique Gestion Voir dans le SUDOC List(s) this item appears in: # Science ouverte
Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Prêt normal Enssib Papier Pôle Métiers du livre et de la culture 070.5 OPE m (Browse shelf(Opens below)) Available 908745A
Total holds: 0

"A Chapman & Hall Book "

Bibliogr. p. 219-221. 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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