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DataPlat 2024 : 3rd International Workshop on Data Platform Design, Management, and Optimization

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Link: https://big.csr.unibo.it/dataplat2024/
 
When May 13, 2024 - May 13, 2024
Where Utrecht, Netherlands
Submission Deadline Jan 22, 2024
Notification Due Feb 22, 2024
Final Version Due Mar 1, 2024
 

Call For Papers

DataPlat 2024: 3rd International Workshop on Data Platform Design, Management, and Optimization

Co-located with ICDE at Utrecht (Netherlands) on May 13, 2024.
WEBSITE: https://big.csr.unibo.it/dataplat2024/

We are currently negotiating the invitation of best papers to a special issue in a top-tier journal in Computer Science and Information Systems.

IMPORTANT DATES

Paper submission: January 22, 2024 (previously: December 22, 2023)
Authors notification: February 22, 2024 (previously: February 3, 2024)
Camera-ready: March 01, 2024 (previously: February 19, 2024)
Date of the workshop: May 13, 2024

CALL FOR PAPERS

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

Submissions should present original results and substantial new work not currently under review or published elsewhere. DataPlat 2024 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 short research papers (up to 10 and 5 pages, respectively)
- Vision papers (up to 5 pages)
- Application papers (up to 5 pages)

Papers must be submitted via Microsoft CMT (https://cmt3.research.microsoft.com/DataPlat2024), in PDF according to the ICDE Proceedings Format.


PC CHAIRS

- Matteo Francia, University of Bologna
- Enrico Gallinucci, University of Bologna
- Patrick Marcel, University of Orleans
- Stefanie Scherzinger, University of Passau

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