IEEE Big Data 2017 Workshop on
“First International Workshop on Big Data in Smart Cities and Smart Buildings (BDSmart) -Technologies, Management and Quality-” – IEEE Big Data 2017

December 11-14, 2017, Boston, MA, USA

Workshop Location

Place: 10 Huntington Avenue, Boston, MA, 02116, United States

Introduction to workshop

Smart Cities generate an immense amount of data that if analyzed, can provide deep insights into behaviour of citizens and many aspects of our society. Generally smart cities are characterised as an innovative city that uses ICT to improve citizens¡¯ quality of life and efficiency within cities. Obviously data is key for promoting economic growth, quality of life and develop strategies for the city. Smart Buildings have emerged as an important cornerstone in Smart Cities to achieve these aims. They can act as an important source for vast amount of data and are key for efficiency improvements related to energy, mobility and operation. In Smart Cities and Smart Buildings, people are dealing with a tremendous amount of data.

These environments can be classed as Big Data environments in which data sets increase in size, complexity and velocity. The data is fast moving and change, and can be originated from various sources such as social networks, unstructured data from different devices or raw feeds from building sensors. They challenge traditional data management approaches and tools, concerning performance, integration and analytics. However, one of a key challenge is the huge number of data quality problems that can be time-consuming to solve or even lead to incorrect data analytics. Despite the importance of data quality for modern businesses, current research on Big Data quality is limited. It is particularly limited knowledge exist on how to apply traditional data management approaches and data quality models to Big Data within Smart Cities and Smart Buildings. Therefore, this workshop aims to discuss Big data in Smart Cities and Smart Buildings, and particular focuses on the Big Data quality research from several perspectives.

With this workshop we view Big Data as a crucial asset that creates value within Smart Cities, and thus needs to be managed accordingly for optimal business value. We aim to provide a platform for discussing approaches, models, results and case studies or experience reports addressing a broad range of issues related to Big Data in Smart Cities and Smart Buildings. Although this workshop can only provide a first platform for discussions and propositions, it can build a foundation for further empirical research to understand Big Data quality and its implications for Smart Cities and Smart Buildings. Papers can include and discuss various research methods and can be based on case studies, quantitative and quantitative methods, design science as well as experimental and simulation. In addition, practical oriented research and experience reports are encouraged.

Research topics included in the workshop

list a number of interesting topics or areas covered by workshop. Topics can include but are not limited to:

Foundation and Technologies for Smart Cities and Smart Buildings
Big Data in Smart Cities
Big Data and Smart Buildings
Big Data Value Chains in Smart City
Big Data and IoT related to Smart Cities
Data Lake concepts in Smart Cities
IoT and Smart Buildings
IoT Architectures for Smart Buildings and Smart Cities
Analytics in Smart Cities and Smart Buildings
Big Data analytics for Smart Cities
Analytics for Smart Buildings
Energy Analytics and Smart Buildings
Visualisation Approaches
Data Mining Technologies
Data Management in Smart Cities and Smart Buildings
Big Data Quality Management
Master Data Management in Smart City
Data Integration for Big Data
Security and Privacy in Smart Cities and Smart Buildings
Value, Services and Applications for Smart Cities and Smart Buildings
Value Co-Creation in Smart Cities and Smart Buildings
Big Data applications in Smart Buildings
Standard Development related to Smart Cities and Smart Buildings
Service Development and Quality
Case studies and Use cases in Smart Buildings and Smart Cities

Improtant Dates

Due date for full workshop papers submission: Oct 27, 2017
Notification of paper acceptance to authors: Nov 15, 2017
Camera-ready of accepted papers: Nov 30, 2017
Workshop date: Dec 11-14 2017

Formatting Requirements

1) Papers should be formatted to 10 pages IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below). Formatting Instructions:
8.5" x 11" (DOC, PDF)
LaTex Formatting Macros

2) Although we accept submissions in the form of PDF, PS, and DOC/RTF files, you are strongly encouraged to generate a PDF version for your paper submission if your paper was prepared in Word.

For submissions we use the EasyChair system.

Program Chairs or co-chairs

Name Institute Email
Markus Helfert Dublin City University, Ireland
Mouzhi Ge Masaryk University, Czech Republic

Program Committee Members