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Dear colleagues,
I would like to draw your attention to the Call for Papers for the
BISE Special Issue on "Data Sovereignty and Data Space Ecosystems"
(see
http://www.bise-journal.com/?p=1405) with a submission
deadline on October 1, 2018.
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
requiremen
ts, some of them centering on ecosystems organized around
variations of data lake or data space concepts.
Objective
The objective of this Special Issue 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, the
following:
· 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 of knowledge in this
field.
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.bis-journal,come/?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.
Schedule
Anticipated publication date: October 2019
· Paper submission due: 01.10.2018
· Notification of authors: 10.12.2018
· Revision due: 31.01.2019
· Notification of authors: 20.03.2019
· Completion of a second revision (if needed): 01.05.2019
Guest Editors
Prof. Matthias Jarke, RWTH Aachen University & Fraunhofer FIT
Prof. Boris Otto, TU Dortmund University & Fraunhofer ISST
Prof. Sudha Ram, Eller College of Management, University of
Arizona
In case of questions, please reach out to me.
Yours,
Boris
TU Dortmund University
Faculty of Mechanical Engineering
Univ.-Prof. Dr.-Ing. habil. Boris Otto
Joseph-von-Fraunhofer-Str. 2-4
D-44227 Dortmund
+49-231-755-5959
Boris.Otto@tu-dortmund.de<mailto:Boris.Otto@tu-dortmund.de>
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Vielen Dank.
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