[AISWorld] CfP: 1st International Workshop on Data Management and Information Analytics - DMIA 2010

[Markus Helfert]

Call for Papers

1st International Workshop on Data Management and Information Analytics
- DMIA 2010
	
23 July, 2010 - Athens, Greece
In conjunction with the 5th International Conference on Software and
Data Technologies - ICSOFT 2010
http://www.icsoft.org


Important Dates
===============
Regular Paper Submission: April 06, 2010
Authors Notification: May 04, 2010
Final Paper Submission and Registration: May 19, 2010


Scope and Goals
===============
For several years research and practice has addressed various topics
related to Data Management such as data modeling, data warehousing, data
movement, database administration and data mining. However recent
advances in technology provided us the possibility to gather enormous
amounts of data. This resulted in many new challenges for data
management. Most frequent examples of the technology advances are
mobile, wireless and sensor technology providing many opportunities for
innovative applications. The large amount of data, gathered anywhere
from anything, requires different solutions than traditional data
management approaches.

With this workshop we intend to present and discuss novel approaches in
data management and information analytics. Overall aim of this workshop
is to examine how advances in technology have changed traditional data
management approaches and how these advances enable enterprises to
increase the value of information. In the context of advances in
technology, the goal of this workshop is to discuss and share best
practices, experiences, models, architectures, methods and tools for
data management and information analytics.

Challenges for data management arise not only from managing large data
volumes, but also from an increased complexity in the data manufacturing
system. Data often is provided from many heterogeneous sources. Data
transfer and transformation routines are complex and often involve a
variety and large number of database systems and applications.
Furthermore, enterprises often not only utilize structured data, but
also include more frequently semi-structured or unstructured data
sources. Support for data integration, quality management, modeling and
managing complex data manufacturing systems are crucial, in order to
provide benefit for enterprises. In contrast to more traditional
environments, data in these complex systems are often not certain, not
always accessible or of different quality. This calls for different
approaches in data management.

Another important topic regarding data management is data mining and
analytics, which can expose interesting information about the data being
collected. Further research challenges arise from the large amount of
relationship data. Novel approaches in analyzing relationships between
data, can provide additional insight and thus benefits enterprises. In
these data-rich environments, privacy and data security provides further
challenges for data management. Overall economic evaluations are
required to assess the benefit of novel approaches of data management to
enterprises.

The idea of the workshop is to provide a forum and platform for both
researchers and practitioners to exchange knowledge, ideas and to learn
from each other. Practitioners and researchers present findings and
experience.

The workshop seeks contributions on concepts, models, architectures,
methods and tools associated with data management and information
analytics. In this regard, we encourage the submission of design science
research in the form of constructs, models, methods and instantiations.
We invite contributions from industry, academia and collaborative
research as well as encourage postgraduate researchers to submit their
work. Submissions may be any of the following: research papers, short
papers, research in progress, case studies, teaching cases or experience
reports.

Topics of interest include, but are not limited to:

     * Managing large Data Manufacturing systems
     * Organizational Concepts and best practice
     * Architectural Concepts
     * Data and Information Quality
     * Data Modeling
     * Methods for Data Management
     * Modeling and Analyzing Relationship Data
     * Modeling large Data Manufacturing systems
     * Data Warehousing and Data Cleansing
     * Data Visualization
     * Data privacy and integrity
     * Management of uncertain data
     * Accessibility of data
     * Mobile data management
     * Management of Sensor Data
     * Data integration
     * Integration and analyzing semi-structured and unstructured data
     * Text Analytics
     * Business Cases and Cost/Benefit Analysis of Data Management
Approaches


Important Dates
===============
Regular Paper Submission: April 06, 2010
Authors Notification: May 04, 2010
Final Paper Submission and Registration: May 19, 2010


Paper Submission
================
Prospective authors are invited to submit papers in any of the topics
listed above.
Instructions for preparing the manuscript (in Word and Latex formats)
are available at the conference Paper Templates web page. Please also
check the web page with the Submission Guidelines.
Papers should be submitted electronically via the web-based submission
system at: http://www.insticc.org/Primoris


Publications
============
All accepted papers will be published in the workshop proceedings book,
under an ISBN reference, and on CD-ROM support.

Registration Information
========================
At least one author of an accepted paper must register for the workshop.
If the registration fees are not received by May 19, 2010, the paper
will not be published in the workshop proceedings book.


Secretariat Contacts:
====================
ICSOFT Workshops - DMIA 2010
e-mail: icsoft.workshops.secretariat at insticc.org


Co-Chairs
=========
Markus Helfert
School of Computing, Dublin City University
Ireland

Brian Donnellan
National University of Ireland, Maynooth
Ireland


-- 
----------------------------------------------------
Dr. Markus Helfert
School of Computing

Dublin City University
Glasnevin
Dublin 9, Ireland


Lecturer in Information Systems
Business Informatics Research Group
Programme Chair European MSc in Business Informatics
http://www.computing.dcu.ie/europeanmbi/


Phone:  +353-1-700-8727
Fax:    +353-1-700-5442
Office: L2.26
Email: markus.helfert at computing.dcu.ie
http://www.computing.dcu.ie
----------------------------------------------------