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


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 |
"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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