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.
[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:
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.
December 22, 2023 January 22, 2024
February 3, 2024 February 27, 2024
February 19, 2024 March 5, 2024
Workshop date: May 13, 2024
DISI - University of Bologna
DISI - University of Bologna
University of Orléans
University of Passau
Hasso Plattner Institute, Germany