Subject: | [WI] Deadline October 1: CfP: BISE Special Issue Data Sovereignty and Data Space Ecosystems |
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Date: | Tue, 28 Aug 2018 16:31:29 +0200 |
From: | Prof. Dr. Matthias Jarke <jarke@dbis.rwth-aachen.de> |
Reply-To: | Prof. Dr. Matthias Jarke <jarke@dbis.rwth-aachen.de> |
To: | wi@lists.kit.edu |
SECOND CALL FOR PAPERS
===========================================================
Business and Information
Systems Engineering (BISE) Journal
Special Issue 5/2019
Data Sovereignty and
Data Space Ecosystems
Guest Editors: Matthias
Jarke, Boris Otto, Sudha Ram
Submission Deadline:
October 1, 2018
===========================================================
1 Special Issue
Data has evolved from a
pure byproduct of value creation processes to a strategic
resource
and – in some cases – to
a product in its own right. Consequently, means and
approaches to
manage data are
currently undergoing significant changes.
The proliferation of
digital technologies and the digitization of industrial
enterprises
in general bring about
new requirements for data integration, data value creation,
and data
value appropriation both
within and across enterprises. In many organizational
settings –
regardless whether in
industrial or societal (e.g. medical) contexts – a debate
has arisen
how to structure such
usually platform-based ‘data ecosystems’ such that the
sovereignty of
data owners and fair
value appropriation can be ensured beyond the currently
prevalent
global dominators. Data
must be integrated from heterogeneous (both internal and
external)
sources on demand
without physical integration systems. Data spaces making use
of linked
data principles and
lightweight semantic technologies are a promising approach
to address
the data integration
issue without requiring the effort and complexity of
traditional data
integration approaches
such as data warehousing based on ETL tools or consolidated
monolithic databases.
Furthermore, through the extension of internal data value
chains
from within an
enterprise boundaries to the outside and the emergence of
data markets and
data ecosystems, demands
rise for appropriate data integration architectures.
Central data storage
architectures (often cloud-based) for inter-organizational
application scenarios
such as supply chain event tracking, collaborative
predictive maintenance,
mobility and energy are
emerging on a daily basis.
These scenarios bring
about new requirements in terms of trust, data security,
data sovereignty, data
provenance, data governance and business models – to name
just a few.
This has recently
motivated researchers to explore and design novel
architectures,
technologies,
algorithms, and systems to cope with these new requirements,
some of them
centering on ecosystems
organized around variations of data lake or data space
concepts.
2 Objective
The objective of this
Special Issue on ‘Data Spaces and Data Ecosystem
Architectures’
is to help structure the
field and present latest research results on innovative
forms
of inter-organizational
data integration and related ecosystem architectures.
Topics include, but are
not limited to:
• Data space and data
lake architectures.
• Data value creation
and data value appropriation.
• Data sovereignty and
security.
• Ecosystem requirements
for data governance.
• Platform concepts and
experiences for data governance.
• Non-intrusive data
integration approaches.
• Technologies for data
provenance and heterogeneous data integration.
• Methodologies for data
valuation in data networks.
• Lightweight semantics
and linked data architectures.
• Application scenarios
and case studies from various sectors such as business,
industry,
logistics, medicine,
engineering, …
The special issue
recognizes the plurality of research methods being
appropriate to advance the
scientific knowledge in
this field.
3 Submission
Please submit papers by
1 October 2018 at the latest via the journal’s online
submission system
(http://www.editorialmanager.com/buis/).
Please observe the instructions regarding the format
and size of
contributions to Business Information Systems Engineering
(BISE).
Papers should adhere to
the general BISE author guidelines (http://www.
bise-journal.com/?page_id=18).
All papers will be
reviewed anonymously (double-blind process) by at least two
referees with regard
to relevance,
originality, and research quality. In addition to the BISE
editors, including those
of this special issue,
distinguished international professionals with scientific
and practice
backgrounds will be
involved in the review process.
For over 60 years, BISE
has been established as a leading journal in the field of
Business & Information
Systems Engineering,
with a 2016 ISI Impact Factor of 3.4.
4 Schedule
Paper submissions due: 1
October 2018.
Notification of authors:
10 December 2018.
Revisions due: 31
January 2019.
Notification of authors:
20 March 2019.
Completion of second
revision (if needed): 1 May 2019.
Anticipated publication
date: October 2019.
5 Guest Editors
Prof. Dr. Matthias Jarke
RWTH Aachen University
& Fraunhofer FIT, Ahornstr.55,
52074 Aachen, Germany
e-mail: jarke@dbis.rwth-aachen.de
Prof. Dr.-Ing. Boris
Otto
Fraunhofer ISST,
Emil-Figge-Str. 91, 44227 Dortmund,
Germany
e-mail: boris.otto@isst.fraunhofer.de
Prof. Sudha Ram Ph.D.
Eller College of
Management, University of Arizona, Tucson,
AZ 85721-0108, USA
e-mail:
ram@eller.arizona.edu