-------- Forwarded Message -------- Subject: [AISWorld] Call for Papers / BISE Special Issue "Data Sovereignty and Data Space Ecosystems" / Submission Deadline October 1, 2018 Date: Thu, 5 Jul 2018 15:59:47 +0000 From: Otto, Boris boris.otto@tu-dortmund.de To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
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.demailto:Boris.Otto@tu-dortmund.de
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