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CALL FOR PAPERS
International Workshop on Data Ecosystems (DEco'23)
In conjunction with VLDB 2023
August 28, 2023, Vancouver, Canada
Submission: May 31, 2023 (GMT)
Web: https://dbis.rwth-aachen.de/DEco23/
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** Aims of the Workshop **
Data centricity plays a fundamental role in defining new and disruptive business
models. Many organizations in public and private sectors have successfully adopted
information technologies to build huge repositories of data that they can analyze to
support decision-making and gain a competitive advantage. However, despite the
paramount relevance of data-driven technologies, organizations demand alliance-driven
infrastructures capable of supporting controlled data exchange across diverse
stakeholders and transparent data management. Data ecosystems (DEs) are the future of
data management, since they allow companies to share data and collaborate to get
valuable insights. Such benefits can be achieved only with a proper approach for
generating and sharing knowledge. Thus, DEs aim to solve issues like managing
unstructured and heterogeneous data, offering various data-centric services, including
query processing and data analytics, exchanging and integrating data while preserving
personal data privacy, data security, and organizational data sovereignty. Hence,
implementing a data ecosystem imposes challenges regarding, amongst others, data
management, data quality, trust, data exchange, data integration, machine learning,
and knowledge-based systems. Moreover, these interoperability issues have to be solved
and data integration performed. In this workshop, we welcome innovative contributions
that further the idea of data ecosystems and tackle the challenges resulting from the
complexity of data ecosystems.
** Topics of Interest **
The suggested topics of interest include, but are not restricted to:
- Metadata management, semantic modeling, and enrichment in data ecosystems
- Data transparency, provenance, and traceability in data ecosystems
- Data sovereignty in data ecosystems
- Concept and mapping discovery for data integration in data ecosystems
- Data quality management and data curation in data ecosystems
- Procedure synthesis in data ecosystems
- Data exchange architectures and concepts, architectures for data ecosystems
- Data security and privacy in data ecosystems
- Formal models and vocabularies for metadata description
- Experiences in domain-specific data ecosystems (health, energy, production,
logistics, . . .)
- Responsible and trustable data management in data ecosystems
- Sustainability in Data Ecosystems
- Applications and services for data management and exchange in data ecosystems
** Important Dates **
Submission 31.05.2023
Notification 15.07.2023
Workshop 28.08.2023
** Submission Guidelines **
We welcome innovative, original, unpublished papers, that fall under the following two
categories:
- Regular papers (up to 12 pages, excluding bibliography) that present complete
research results
- Short papers (at least 6 pages, excluding bibliography) on preliminary results that
can trigger in-depth discussions in the workshop
Papers must be submitted over the EasyChair conference system using the following link: https://easychair.org/conferences/?conf=deco23. It is expected, that papers are formatted according to the VLDB formatting guidelines, which you can find here https://vldb.org/pvldb/volumes/16/formattingAt least one author of every accepted paper, is expected to attend the workshop and give an oral presentation.Selected papers of the workshop will be invited to submit an extended version to a special issue on Data Ecosystems.g
Selected papers of the workshop will be invited to submit an extended version to a special issue on Data Ecosystems.
** Participation **
The workshop will be held in Vancouver, Canada.
At least one author of every accepted paper is expected to attend the workshop and give an oral presentation.
** Workshop Chairs **
- Cinzia Cappiello, Politecnico di Milano, Italy
- Sandra Geisler, RWTH Aachen University and Fraunhofer Institute for Applied
Information Technology FIT, Germany
- Maria-Esther Vidal, Leibniz University of Hannover and TIB-Leibniz Information Centre for Science and Technology
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