-------- Forwarded Message --------
Subject: [AISWorld] CfP - 2nd International Data Value Workshop
Date: Thu, 27 Jun 2019 11:19:00 +0100
From: Judie Attard <judie.attard@adaptcentre.ie>
To: aisworld@lists.aisnet.org


Apologies for cross-posting

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CALL FOR PAPERS: 2nd International Data Value Workshop co-located at the KMIS 2019 Conference in Vienna, Austria (17-19th September)

DATA VALUE 2019

Web: http://2019.datavalue.adaptcentre.ie <http://2019.datavalue.adaptcentre.ie/>

Important Dates:
9th July 2019 (23:59 Hawaii Time) - Submission Deadline
23rd July 2019 (23:59 Hawaii Time) - Notification of Acceptance
31st July 2019 (23:59 Hawaii Time) - Camera Ready

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The Program Committee of DataValue 2019 invites submissions in the broad areas of Data Value and Data Governance.
Data is increasingly being utilised and exploited by enterprises as a means to gain competitive advantage. Data provides the capabilities such as delivering services, making informed decisions, and improve financial performance.
Yet, enterprises’ attention is usually focused on accumulating data as opposed to the value of the information or knowledge contained within this data. Moreover, even though information consumes immense resources and money in terms of data capture, storage, processing, and maintenance, ironically it typically receives no recognition on the financial balance sheet.

Due to it’s role and characteristics in enterprises and/or businesses, data can be considered as an asset. Additionally, information has a cost and a value, like most business assets, and theoretically it can be valued in the same way an asset is. Despite this, information has as yet resisted quantitative measurement.
Based on existing literature, we particularly identify the following open challenges:

• How can we represent and model data value?
• Can data value be quantified, and to what extent?
• Can data value be predicted?
• How does data governance affect data exploitation?
Areas of interest include, but are not restricted to:
Data Exploitation
Data Value Chains/Networks
Data Value Models
Standards
Metrics
Use Cases
Best Practices
Data Value Quantification
Impacts
Data Governance Platforms
The workshop will accept two types of submissions:

Research Papers (max 10 pages), presenting novel scientific research addressing the topics of the workshop;
Position Papers (max 7 pages), encouraging papers describing significant work in progress, late breaking results or ideas of the domain, as well as functional systems or datasets relevant to the community.
For both types of submissions we also welcome practical solutions, use case prototypes, best practices, etc. in an industry setting.

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Workshop Co-Chairs:

Dr. Judie Attard (Trinity College Dublin) Dr. Rob Brennan (Dublin City University)
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