DEco - 2nd International Workshop on Data Ecosystems - Vancouver, Canada


Montag, 28.08.2023, 09.00 Uhr


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.

Source: DEco - 2nd International Workshop


CALL FOR PAPERS - important dates:

International Workshop on Data Ecosystems (DEco'23), Vancouver, Canada.
In conjunction with VLDB 2023

Submission 31.05.2023
Notification 15.07.2023
Workshop 28.08.2023

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

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