3rd International Workshop on Data Platform Design, Management, and Optimization
Co-located with ICDE 2024
Special Issue invitation to be announced for best papers

What DataPlat is about

Information systems have evolved into complex data platforms supporting end-to-end data-intensive needs, such as storage, computation, and analysis of data with heterogeneous structures. However, a smart and comprehensive support for data scientists and architects to govern the data through the whole life-cycle is still necessary.

Supporting data management and governance requires the collection of metadata capturing the distinguishing features of the data; this enables advanced functionalities spanning from data research and profiling to provenance control, orchestration of data pipelines, incremental data integration, efficient querying, automated analytics, and homogeneous data access. The challenges begin with metadata management in terms of the modeling effort, storage, complexity of retrieval activities, and effective exploitation. While coping with big-data issues, the enabled functionalities must: (i) handle the heterogeneity of storage and computation engines (including DBMSs supporting multiple data models and cloud storage systems with limited control and predictability), (ii) meet suitability requirements for less-skilled users, and (iii) limit the costs of pay-as-you-go resources.

This workshop calls for innovative solutions --- from researchers and practitioners --- that address the aforementioned challenges. We welcome papers that contribute to the advancement of data platforms in engineering, optimizing, and simplifying the different aspects of data and metadata management and fruition.


The scope of the workshop includes, but is not limited to the following topics.

  • Metadata modeling for data platforms
  • Techniques for metadata discovery and management
  • Advanced search, exploration, and profiling of data and metadata
  • Semantic enrichment of metadata
  • Data governance
  • Data wrangling
  • Provenance and data versioning control
  • Orchestration and optimization of data transformation pipelines
  • Data integration and querying in multimodel databases, multistores, polystores
  • Query processing, optimization, and performance
  • Entity resolution and data fusion
  • Big data management and querying
  • Artificial Intelligence solutions for data platforms
  • AutoML techniques
  • Cloud computing and architectures
  • Advanced architectures for data lakes and data platforms
  • Analysis, design, implementation, and testing of data platforms
  • Case studies and project experiences


[NEW 2024-01-31] The keynote speaker will be Felix Naumann!

[NEW 2023-12-22] Submission deadline has been extended to January 22, 2024.

Submissions should present original results and substantial new work not currently under review or published elsewhere. DataPlat will follow a single-blind review process to evaluate submissions on the basis of originality, relevance, quality, and technical contribution. The following submissions are accepted:

  • Regular and research papers (up to 10)
  • Short research, application, and vision papers (up to 5 pages)

References and figures are included. Papers must be submitted via Microsoft CTM. Papers should be formatted with the same rules as ICDE conference papers. Manuscripts must be prepared in accordance with the IEEE format. Only electronic submissions in PDF format will be considered. A paper submitted to DataPlat cannot be under review for any other conference or journal during the entire time it is considered for DataPlat. All accepted papers will appear in the conference proceedings.

All accepted papers are expected to be presented at the workshop, and at least one author is required to register.

Important dates (AOE)

Paper submission: December 22, 2023 January 22, 2024

Authors notification: February 3, 2024 February 27, 2024

Camera ready: February 19, 2024 March 5, 2024

Workshop date: May 13, 2024


Program Chairs & Organizers

Matteo Francia

DISI - University of Bologna

Enrico Gallinucci

DISI - University of Bologna

Patrick Marcel

University of Orléans

Stefanie Scherzinger

University of Passau

Program Committee

  • Alexandre Chanson (Université de Tours)
  • Christoph Quix (Fraunhofer FIT)
  • Duncan Ruiz (Pontifícia Universidade Católica do Rio Grande do Sul)
  • Franck Ravat (IRIT)
  • Matteo Brucato (Microsoft Research)
  • Nicolas Labroche (University of Tours)
  • Panos Vassiliadis (University of Ioannina)
  • Riccardo Torlone (Roma Tre University)
  • Sana Sellami (Aix Marseille University)
  • Sandra Sampaio (University of Manchester)
  • Sandro Bimonte (INRAE)
  • Sergi Nadal (Universitat Politècnica de Catalunya)
  • Sergio Lifschitz (PUC-Rio)
  • Shaleen Deep (Microsoft Gray Systems Lab)
  • Theodoros Toliopoulos (Aristotle University of Thessaloniki)
  • Thomas Bodner (Hasso Plattner Institute)
  • Thorsten Papenbrock (Philipps University of Marburg)
  • Zezhou Huang (Columbia University)

Keynote speaker

Felix Naumann

Hasso Plattner Institute, Germany

The Quest for Data Profiling

Workshop program

The schedule is in CEST (UTC+2h) - Utrecht (Netherlands) Time