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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Cinzia Cappiello</string-name>
          <email>cinzia.cappiello@polimi.it</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sandra Geisler</string-name>
          <email>geisler@cs.rwth-aachen.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Maria-Esther Vidal</string-name>
          <email>vidal@l3s.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>DEco'23: Second International Workshop on Data Ecosystems</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Cinzia</institution>
          ,
          <addr-line>Sandra, and Maria-Esther</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Fraunhofer Institute for Applied Information Technology FIT</institution>
          ,
          <addr-line>Sankt Augustin</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Leibniz University of Hannover</institution>
          ,
          <addr-line>Hannover</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Politecnico di Milano</institution>
          ,
          <addr-line>Milan</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>RWTH Aachen University</institution>
          ,
          <addr-line>Aachen</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>TIB-Leibniz Information Centre for Science and Technology</institution>
          ,
          <addr-line>Hannover</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Space Culture,” a lighthouse project of the German Chan-</p>
      </abstract>
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      <title>-</title>
      <p>Data centricity plays a fundamental role in defining
cellors Ofice aiming at demonstrating and evaluating a
new and disruptive business models. Many
organizasuitable data ecosystem around four use cases in the fields
tions in the public and private sectors collect and
anaof theaters, museums, music training, and networking
lyze huge data repositories to support decision-making
of existing local culture communities. An invited paper
and gain a competitive advantage. However, despite
summarizing his talk is also included in the proceedings.
the paramount relevance of data-driven technologies,
orWe want to thank our excellent Program Committee
ganizations demand alliance-driven infrastructures that
members who thoroughly evaluated the papers and all
support controlled data exchange across diverse stake- the authors who submitted and presented papers to the
holders and transparent data management. Data
ecosysworkshop.
tems (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.</p>
      <p>Thus, DEs aim to solve issues like managing unstructured
and heterogeneous data, ofering various data-centric
services, including query processing and data analytics,
and exchanging and integrating data while preserving
personal data privacy, 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 the Second International
Workshop on Data Ecosystems (DEco’23), we aimed to
publish innovative contributions addressing such
challenges.</p>
      <p>From the submissions, we could accept 3 high-quality
full papers. The accepted papers comprise aspects of data
sharing, trust, federated machine learning and
repositories, and report experiences from use cases based on data
ecosystems.</p>
      <p>The workshop is organized around two paper
presentation sessions. We are delighted to count on Prof. Mathias
Jarke from RWTH Aachen University and the Fraunhofer
Institute for Applied Information Technology FIT for an
inspiring keynote talk reporting experiences of the ”Data</p>
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