-------- Forwarded Message -------- Subject: [WI] Deadline October 1: CfP: BISE Special Issue Data Sovereignty and Data Space Ecosystems 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

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Business and Information Systems Engineering (BISE) Journal

www.bise-journal.com

Special Issue 5/2019

Data Sovereignty and Data Space Ecosystems

Guest Editors: Matthias Jarke, Boris Otto, Sudha Ram

Submission Deadline: October 1, 2018

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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

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