ECU Libraries Catalog

Data-driven innovation : big data for growth and well-being / OECD ; [edited by Randall Holden ; authored by Mr. Reimsback-Konatze and six others]

Other author/creatorHolden, Randy (Editor)
Other author/creatorOrganisation for Economic Co-operation and Development.
Other author/creatorOrganisation for Economic Co-operation and Development.
Format Electronic and Book
Publication InfoParis : OECD Publishing, [2015]
Description452 pages : illustrations ; 28 cm
Supplemental Content Full text available from OECD iLibrary
Subject(s)
Portion of title Big data for growth and well-being
Contents The phenomenon of data-driven innovation -- Mapping the global data ecosystem and its points of control -- How data now drive innovation -- Drawing value from data as an infrastructure -- Building trust for data-driven innovation -- Skills and employment in a data-driven economy -- Promoting data-driven scientific research -- The evolution of health care in a data-rich environment -- Cities as hubs for data-driven innovation -- Governments leading by example with public sector data.
Abstract "This report focuses on digital data and analytics and their effects on innovation, growth and well-being. It aims to improve the evidence bases on the role of data-driven innovation (DDI) in boosting productivity growth and contributing to well-being. It also offers policy guidance for maximizing the benefits of DDI and mitigating the associated economic and societal risks. The insights in the report are intended to help policy makers better understand DDI, incorporate its multidimensionality into policy design and 'identify trade-offs, complementarities and unintended consequences of policy choices.' This report contributes to the goal of building and maintaining 'resilient economies and inclusive societies' while enhancing the productivity and competitiveness of industries, as articulated in the OECD Ministerial Council Statements of 2014 and 2015"--Foreword.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2016434499
ISBN9789264229341 (print)
ISBN9264229345 (print)

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