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Open Big Data 2016 : Open Data Innovations in Business and Government

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Link: http://www.igi-global.com/publish/call-for-papers/call-details/1608
 
When Jan 1, 2000 - Jun 30, 2016
Where N/A
Abstract Registration Due Jan 22, 2016
Submission Deadline Mar 1, 2016
Notification Due Apr 15, 2016
Final Version Due Jun 30, 2016
Categories    open data   big data   open government   open business
 

Call For Papers

Open Data Innovations in Business and Government

Introduction

The Handbook of Research on Open Data Innovations in Business and Government provides a reference for researchers and practitioners in this area. Instructors, researchers, and professionals interested in the most up-to-date research on the concepts, issues, applications, and trends in the Open and Big Data field will find this Handbook of Research, extremely useful.

The 21st century has seen a growth with the amount of data made available through such platforms as Social Media, eGovernment services, online business, crowd-sourcing, ThunderClapp and many others, too. Open Data is not purely for the technologically minded but covers a wider range of stakeholders and areas: governance, citizens, privacy, economics, policy restructuring, legal, ethical; society at large are key to fulfilling the Open Data phenomenon. The Open Data technology leap is making large advances in areas of Health, Education, International Development, European Union collaborative platforms and many other areas like transportation and crime.

A new wave of electronic information is being dispensed by organisations, both public and private. At a local, national and international level we have councils (Local Government), central government departments and inter-governmental cooperation, SMEs and multi-national-organisations. This has led to the European Union coordinating the European Data Forum like the Open Data Institute and Open knowledge Foundation among many others around the world to-date.



Objective
The key objective of the book is to disseminate state of the art techniques, models, case studies and technologies that further the Open Business and Open Data field of study around the world. Having a platform to bring together international research in the field of Big Data, eBusiness, eGovernment, Open Data and Open Business provides a rich source of information exchange that will benefit the community. Value comes from the richness and quality of contributor’s worldwide. It is expected that contributing authors will be from academia, business and government.

Target Audience
Academics and researchers will find numerous ideas in the research-based chapters of this book in Open Data, Open Business, and Open Government. In particular, it contains the detailed and relevant references at the end of each contributed chapter, the research methodologies followed, and the discussions on action-research based case studies. Thus, the strong research focus of this book makes this book an ideal reference point for active researchers in this area, as well as government policy makers that need up to date information on the latest thinking of Open Data globally.

Recommended Topics
Recommended topics include, but are not limited to, the following:
Open Business
Open Business Models
Open Government
Open Data Platforms
Big Data Computational Modeling
Linked Open Data
Open Data Governance
Open Government Policy
Open Data Life cycles and SMEs
Transforming Open Data
Open Data Information Assurance
Open Data for Smart Cities
Data Mining for Open Data
Open Data and Social Media
Open Data in Media
Open Innovation Platforms
Open Service Innovation
Open Source Software
Open Source Hardware
Community-driven production of data and services
Open Data Standards
Open Standards
Open Business Transformation
E-Business Model
E-Business Technology
Data Analytics and metrics
Open Data Models and Architectures
Open Data Privacy and integrity
Tools and technologies
Open Data Standards and Frameworks
Applications of Open and Big Data
Context-aware Data
Open Data Case Studies
Open Cloud Platforms
Open Data Processing and storage approaches
Collaboration and Communication environments
Linked Data for Knowledge Discovery
Temporal, Spatial, Mobile Open Data


Submission Procedure
Researchers and practitioners are invited to submit on or before January 30, 2016, a 1,000- 2,000 word chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by February 27, 2016 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by May 30, 2016. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Handbook of Research on Open Data Innovations in Business and Government. All manuscripts are accepted based on a double-blind peer review editorial process.

Full chapters may be submitted to this book here: Submit a chapter

All proposals should be submitted through the link at the bottom of this page.

Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2016.



Book Series
For release in Advances in Data Mining and Database Management (ADMDM) book series.

Series Editor(s): David Taniar (Monash University, Australia)
ISSN: 2327-1981

The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.

Important Dates

Reissue Call for Chapters: October 30, 2015
Full Chapter submission deadline: January 30, 2016
Review period ends: February 28, 2016
Revisions from chapter authors due: May 30, 2016

Inquiries
Prof. Eldon Y. Li
National Chengchi University, Taipei, Taiwan and California Polytechnic State University, San Luis Obispo, USA
Email: eli@calpoly.edu

Dr. Cain Evans
Subject Lead Computer Science and Senior Lecturer, Birmingham City University
Faculty of Computing, Engineering and the Built Environment, School of Computing, Telecommunications and Networks, Birmingham, UK.

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