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Big, open and linked data = effects ...

Wecel, Krzysztof.

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Big, open and linked data = effects and value for the economy /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big, open and linked data/ by Krzysztof Wecel.
Reminder of title:	effects and value for the economy /
Author:	Wecel, Krzysztof.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvii, 256 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Open Data as an Economic, Political, and Technical Phenomenon -- Linked Data for Enrichment of Data Assets -- Big Data Organization Challenge -- Macroeconomic Aspects of Data Value -- Microeconomic Aspects of Data Value -- Business Models for Data -- Geographical Profiling with Linked Data.
Contained By:	Springer Nature eBook
Subject:	Management information systems. -
Online resource:	https://doi.org/10.1007/978-3-031-07147-8
ISBN:	9783031071478

Big, open and linked data = effects and value for the economy /
Wecel, Krzysztof.

Big, open and linked dataeffects and value for the economy /[electronic resource] :by Krzysztof Wecel. - Cham :Springer International Publishing :2022. - xvii, 256 p. :ill., digital ;24 cm. - Business information systems,2662-1800. - Business information systems..

Introduction -- Open Data as an Economic, Political, and Technical Phenomenon -- Linked Data for Enrichment of Data Assets -- Big Data Organization Challenge -- Macroeconomic Aspects of Data Value -- Microeconomic Aspects of Data Value -- Business Models for Data -- Geographical Profiling with Linked Data.

This book examines the recent evolution of the concept of data as an economic and managerial phenomenon. The author first describes and discusses open data and then introduces the concept of linked data, with a focus on assets for reuse. Furthermore, he addresses the main challenges of big data. Value is identified as the main incentive for the adoption of linked data; accordingly, the next two chapters study sources of data value from a macroeconomic and micro economic perspective, respectively. This contributes to the systematization of important issues at the crossroads of enterprise data and data sharing: data ownership, personal data, and data privacy. In turn, the book reveals the role of innovation as a main vehicle for creating value by unifying big, open, and linked data. It studies the ways in which value can be created, transferred, and captured in the form of business models, before the closing chapter verifies the data unification model by combining open and linked geographical data with big data from a major telecom company.

ISBN: 9783031071478

Standard No.: 10.1007/978-3-031-07147-8doiSubjects--Topical Terms:

528143
Management information systems.

LC Class. No.: HD30.213 / .W2 2022

Dewey Class. No.: 658.4038011

Big, open and linked data = effects and value for the economy /
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505 0 $a Introduction -- Open Data as an Economic, Political, and Technical Phenomenon -- Linked Data for Enrichment of Data Assets -- Big Data Organization Challenge -- Macroeconomic Aspects of Data Value -- Microeconomic Aspects of Data Value -- Business Models for Data -- Geographical Profiling with Linked Data.
520 $a This book examines the recent evolution of the concept of data as an economic and managerial phenomenon. The author first describes and discusses open data and then introduces the concept of linked data, with a focus on assets for reuse. Furthermore, he addresses the main challenges of big data. Value is identified as the main incentive for the adoption of linked data; accordingly, the next two chapters study sources of data value from a macroeconomic and micro economic perspective, respectively. This contributes to the systematization of important issues at the crossroads of enterprise data and data sharing: data ownership, personal data, and data privacy. In turn, the book reveals the role of innovation as a main vehicle for creating value by unifying big, open, and linked data. It studies the ways in which value can be created, transferred, and captured in the form of business models, before the closing chapter verifies the data unification model by combining open and linked geographical data with big data from a major telecom company.
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