Workshop Overview

Data centricity is playing a fundamental role in the definition of 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 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 in order 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 data while preserving personal data privacy, data security, and organizational data sovereignty. Hence, to implement a data ecosystem manifold challenges regarding, amongst others, data management, data quality, trust, data exchange, data integration, machine learning or knowledge-based systems have to be solved and integrated. In this workshop, we welcome innovative contributions which further the idea of data ecosystems and tackle the challenges which consequently result from the complexity of data ecosystems.

Keynote - Dataspaces for Data Ecosystems

Prof. Dr.-Ing. Boris Otto (TU Dortmund University, Fraunhofer Institute for Software and Systems Engineering ISST)

Prof. Boris Otto
Many data-driven innovation scenarios require exchange and sharing of data among many different partners within an ecosystem. In fact, ecosystems emerge in situations where innovation cannot be achieved by one company alone, but where different data need to be used and re-used collaboratively. Typically, private data from different data providers need to be combined with context (often open) data. Examples can be found in healthcare (personalized medicine), smart cities (traffic management, multi-modal mobility services), and manufacturing (collaborative supply chain management, end-to-end supply chain transparency). Thus, data sharing enables co-opetition in ecosystems when every individual members gives something to gain something. With regard to data sharing in ecosystem, it is clear that a balance is required between using the data and protecting the data. In this context, data spaces represent a promising data integration approach as they embrace a federated data architecture and typically come with measures which foster data sharing while ensuring trust and data sovereignty among participants. Gaia-X and the International Data Spaces (IDS) are initiatives kickstarted in Europe, which aim a setting de-facto standards for data spaces and, hence, supporting European regulation (e.g. Data Governance Act and Data Act). The keynote talk discusses dataspace foundations, presents data ecosystems examples such as Catena-X and provides an outlook to upcoming developments.

Short Biography
Prof. Dr.-Ing. Boris Otto is the Director of the Fraunhofer Institute for Software and Systems Engineering ISST in Dortmund and holds the Chair for Industrial Information Management at the TU Dortmund University. His research focuses on data spaces, data sovereignty and industrial data management. Boris Otto is member of the Boards of Directors of the Gaia-X European Association for Data and Cloud AISBL, the International Data Spaces Association (IDSA), and the Catena-X Automotive Network.

Accepted Papers

Program Structure

Time (Sydney AEST) TOP
01:30 pm Welcome
01:35 pm Paper Session 1
02:35 pm Keynote: Boris Otto - "Data Spaces for Data Ecosystems"
03:30 pm Coffee Break
04:00 pm Paper Session 2
05:00 pm Panel Discussion with Barbara Pernici (Politecnico di Milano), Paolo Missier (Newcastle University), Valentina Janev (The Mihajlo Pupin Institute), and Ernestina Menasalvas (Universidad Politécnica de Madrid)
05:45 pm Closing / Wrap-up

Topics of interest

The suggested topics of interest include, but are not restricted to:

Important Dates


Submission Date - FINAL EXTENSION      21.06.2022, GMT   31.05.2022
Notification      22.07.2022, GMT
Workshop Date      05.09.2022, GMT

Paper Submission


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

Papers must be submitted over the EasyChair conference system using the following link:
It is expected, that papers are formatted according to the VLDB formatting guidelines, which you can find here

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 in Data and Knowledge Engineering (DKE).


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

Diversity Statement


We believe that research and innovation is enriched and furthered by a multitude of perspectives. Hence, we want to create an inclusive, respectful workshop environment, in accordance to the VLDBCares principles. We invite the participation from persons independent of their age, education, ethnicity, gender, national origin, race, religion, sexual orientation, physical ability, and physical appearance.

Workshop Chair

Program Committee