The value of big data is predicated on the ability to detect trends and patterns and more generally to make sense of the large volumes of data that is often comprised of a heterogeneous mix of format, structure, and semantics. Big data analysis is the component of the big data value chain that focuses on transforming raw acquired data into a coherent usable resource suitable for analysis. Using a range of interviews with key stakeholders in small and large companies and academia, this chapter outlines key insights, state of the art, emerging trends, future requirements, and sectorial case studies for data analysis

A Acquisti

A Thusoo

B Glavic

C-C Lee

D Bollier

JG Koomey

M Li

M Strohbach

N Marz

English

The production and consumption of news in the digital era is blurring the boundaries between professionals, citizens and activists. Actors producing information are multiplying, but still media companies hold central position. Journalism research faces important challenges to capture, examine, and understand the current news environment. The SAGE Handbook of Digital Journalism starts from the pressing need for a thorough and bold debate to redefine the assumptions of research in the changing field of journalism

Witschge, T

Anderson, CW

Domingo, D

Hermida, A

White Rose Research Online

The SAGE Handbook of Digital Journalism

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy

The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe.

This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment

Strohbach, Martin

Daubert, Jörg

Ravkin, Herman

Lischka, Mario

TUbiblio

Big Data Storage

The production and consumption of news in the digital era is blurring the boundaries between professionals, citizens and activists. Actors producing information are multiplying, but still media companies hold central position. Journalism research faces important challenges to capture, examine, and understand the current news environment. The SAGE Handbook of Digital Journalism starts from the pressing need for a thorough and bold debate to redefine the assumptions of research in the changing field of journalism. The 38 chapters, written by a team of global experts, are organised into four key areas: Section A: Changing Contexts Section B: News Practices in the Digital Era Section C: Conceptualizations of Journalism Section D: Research Strategies By addressing both institutional and non-institutional news production and providing ample attention to the question ‘who is a journalist?’ and the changing practices of news audiences in the digital era, this Handbook shapes the field and defines the roadmap for the research challenges that scholars will face in the coming decades.info:eu-repo/semantics/publishe

Witschge, Tamara

Anderson, C.W.

Domingo, David

Hermida, A.

DI-fusion

Domingue, John

Lasierra, Nelia

Fensel, Anna

van Kasteren, Tim

Thalhammer, Andreas

Open Research Online

Big Data Analysis

Martin Strohbach

Jörg Daubert

Herman Ravkin

Mario Lischka

Springer - Publisher Connector

Information Storage and Retrieval;  Innovation/Technology Management;  Computer Applications;  Computers and Society;  Big dat

Directory of Open Access Books (DOAB)

New Horizons for a Data-Driven Economy

Crossref

Hermida, Alfred

NARCIS 

The Sage Handbook of Digital Journalism

‘Big data’ is a current buzzword in the media and communication industries, and in the disciplines that study them, much as ‘Web 2.0’ was in the 1990s. ‘Big data analytics’ is rapidly emerging as a field of research and development, drawing on increasingly rich, increasingly widely available datasets on facets of contemporary life ranging from climate change through economic performance to social media activity. Journalism is caught up in the surge towards ‘big data’ in two ways: as a driver of innovation, through the development of new journalistic specializations currently operating under names such as data journalism or computational journalism; and as an object of analysis, with data on the performance of journalists and news organizations (especially on the public response to their work through social media) being used to justify decisions to increase or decrease staff and funding. This chapter explores the uses of ‘big data’ in the latter sense, as tools in journalism research, and identifies the threats and opportunities inherent in such developments. It highlights major advances in the field, and shows how the tracking of ‘big data’ on the public resonance of journalistic work provides new evidence about the actual role of journalism in the wider public sphere, beyond normative dogma. At the same time, the chapter also highlights the potential threats which emerge from a strongly quantitative, data-driven turn in journalism research: for example, from the pursuit of strong popularity metrics at the expense of journalistic quality

Bruns, Axel

Queensland University of Technology ePrints Archive

Big data analysis

Big Data Analysis

Abstract

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White Rose Research Online

TUbiblio

DI-fusion

Open Research Online

Springer - Publisher Connector

Directory of Open Access Books (DOAB)

Crossref

Crossref

NARCIS

Queensland University of Technology ePrints Archive