Big data has become a key asset in modern societies, economies, and governmental organizations. Big data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. The increasing volume and velocity of the data, captured by business organizations, web repositories, social media, data centres, cloud and IoT, have resulted in the exponential growth of big data.
Big data provides a key basis for innovations in various domains and applications. It can benefit data managers, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations.

The aim of the Innovate-Data 2017 conference is to promote the state of the art in scientific and practical research of big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas.

Topics of interest include, but are not limited to:

- Innovations in big data
- Data models and architectures
- Applications of big data
- Big data engineering and design
- Security, privacy, and trust
- Data protection and integrity
- Identity theft, data loss and leakage
- Legal and ethical issues
- Data analytics and metrics
- Data representation and structures
- Data management and processing
- Data capturing and acquisition
- Tools and technologies
- QoS of big data
- Social networks analysis
- Data searching and mining
- Visualisation of data
- Personal data logging and quantified-self
- Context-aware data
- Personalisation of data
- Data economics
- Applications of open and big data
- Open and linked data
- Methodologies and use cases
- Usability issues
- Storages and network requirements
- Network models and protocols
- Big data in cloud and IoT


Paper submission and Publication:

Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website (http://www.ficloud.org/innovate-data-2017/).

All papers accepted for this conference will be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services.

Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see website).

Important Dates:

Submission Deadline: 10 March 2017
Authors Notification: 30 May 2017
Final Manuscript Due: 20 June 2017

Organising Committee

General Chair
Mazin Yousif, T-Systems International, USA

Program Co-Chairs
Dana Petcu, Western University of Timisoara, Romania
Muhammad Younas, Oxford Brookes University, UK

Local Organising Chair
Irena Holubova, Charles University, Prague, Czech Republic

Publication Chair
Irfan Awan, University of Bradford, UK

Workshop Coordinator
Lay Ki Soon, Multimedia University, Malaysia

International Liaison Chair
Ruben Casado, Accenture Digital, Madrid, Spain

Publicity Chair
Bilan Zhu, Tokyo University of Agriculture and Technology, Japan

Journal Special Issues Coordinator
Farookh Hussain, University of Technology Sydney, Australia