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 organizations to share data and collaborate to get valuable insights. Endeavours, such as the European Health Data Space, and projects, such as the International Data Spaces (IDS), demonstrate the importance of data ecosystems for diverse domains. However, the benefits of data exchange can only be achieved with a holistic 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 data privacy, data security, and data sovereignty. Hence, implementing a data ecosystem imposes tremendous challenges regarding, amongst others, data management, data quality, trust, data exchange, data integration, machine learning, interoperability, and knowledge-based systems. Additionally, there is a huge potential in applying new methods from generative AI, which can show new directions of solving the above challenges in an efficient way. 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- Human-centric concepts 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- Support of methods in data ecosystems by generative AI- Neurosymbolic Systems over data ecosystems

Important Dates

• Submission:  31.05.2024
• Notification:  15.07.2024
• Workshop:    25.08.2024

Submission Guidelines

We welcome innovative, original, unpublished papers, that fall under the following two categories:

• Regular papers: up to 12 pages, excluding bibliography, present complete research results
• Short papers: at least 6 pages, excluding bibliography, 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=deco24. It is expected, that papers are formatted according to the VLDB formatting guidelines, which you can find here https://vldb.org/pvldb/volumes/17/formatting.At 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.

Participation

The workshop will be held in Gangzhou, China and online (hybrid). At least one author of every accepted paper is expected to attend the workshop and give an oral presentation.We will conduct the workshop as a hybrid event. Hence, presenters and participants may participate in-person in Gangzhou or remotely.

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

Contact

All questions about submissions should be emailed to deco@dbis.rwth-aachen.de