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Book Cover
E-book
Author Mons, Barend, author.

Title Data stewardship for open science : implementing FAIR principles / Barend Mons
Edition First edition
Published Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018]
©2018

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Description 1 online resource (xviii, 226 pages) : illustrations
Contents 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
Summary "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."--Provided by publisher
"Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship. The FAIR principles are used as a guide throughout the text, and this book should leave experimentalists consciously incompetent about data stewardship and motivated to respect data stewards as representatives of a new profession, while possibly motivating others to consider a career in the field."-- Provided by publisher
Notes "A Chapman & Hall Book "
Bibliography Includes bibliographical references and index
Notes Electronic resource
Subject Information resources management.
Information technology -- Management.
Data curation.
Data sets.
Freedom of information.
Data Curation
Datasets as Topic
Information Dissemination
Access to Information
Information Management
COMPUTERS -- Database Management -- Data Mining.
SCIENCE -- Life Sciences -- Biology -- General.
big data.
data curation.
data formatting.
data integration.
data publishing.
FAIR data.
Data curation.
Information resources management.
Information technology -- Management.
Form Electronic book
ISBN 9781315380711
1315380714
9781498753180
1498753183
9781315351148
1315351145