[dbitaly] CfP ECIS 2008 - Track Data and Information Quality

Cinzia Cappiello cappiell a elet.polimi.it
Ven 5 Ott 2007 16:28:31 CEST

ECIS 2008 - Track Data and Information Quality
Submission Deadline: November 15, 2007


16th European Conference on Information Systems (ECIS)
National University of Ireland, Galway, Ireland

Track Description:
The problem of poor data and information quality is widespread and plays
a critical role for all organisations whose activity is based on
communication and information. Insufficient quality of information and
data often leads to numerous negative effects; it can disrupt business
processes and interfere with decisions or can compromise communication
and understanding among people. High data and information quality have
become the crucial factor for innovative organisations in the
information economy. Currently, there are two main research streams
addressing the problem of ensuring high data and information quality:
first a technical, database oriented approach and second a management,
business oriented approach. So far, both streams are fairly isolated,
although they address similar problems. Problems regarding the
interdependences between technological choices and business concepts are
rarely considered.

In this context, the Data and Information Quality Track aims to bring
together both streams and addresses problems related to information
system design and modelling. The track focuses on crucial and
interrelated issues such as information systems architectures and
process modelling as well as business implications correlated with data
and information quality.

Suggested topics:
Data & Information Quality-specific research problems:
   - Defining and planning
   - Assessment
   - Management and improvement - processes and technologies
   - DIQ oriented IS-Engineering methods and techniques
   - Costs and benefits analyses

Data & Information Quality in specific contexts:
   - Financial service industry
   - Logistics
   - Healthcare
   - Government
   - Multimedia applications and Web environments
   - Data mining & Data warehousing
   - Knowledge Management
   - Data & Information Quality and security/privacy/trust

Further information and submission:

Track Chairs:
Markus Helfert, Dublin City University, Ireland (markus.helfert a dcu.ie)
Cinzia Cappiello, Politecnico di Milano, Italy (cappiell a elet.polimi.it)

Cinzia Cappiello - Ph. D.
Dipartimento di Elettronica e Informazione
Politecnico di Milano
Via Ponzio 34/5
20133, Milano, Italy

Phone: +39-02-23994014
Fax: +39-02-23993411
e-mail : cappiell a elet.polimi.it

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