The 28th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2026), the premier workshop in this area, will take place co-located with EDBT 2026 in Tampere (Finland) on March 24th, 2026.

Submissions are now open at https://cmt3.research.microsoft.com/DOLAP2026
Official website: https://dolapworkshop.github.io/dolap-2026/

Paper submission: December 5th, 2026
Authors notification: January 30th, 2026
Camera-ready: February 20th, 2026
Workshop date: March 24, 2026

DOLAP accepts short and long paper submissions!
Moreover, this year for the third time, we will invite extended abstracts on visions, challenges, and opportunities on the special theme of the workshop on Sustainable Analytics.

As our consolidated tradition, the best papers presented at DOLAP will be invited to a special issue of Information Systems.

Long papers include novel and mature research, industrial, or survey work. Long papers of good quality but not mature enough might be accepted to the workshop as short papers.
Short papers include (ongoing) novel research works with preliminary results and vision/position papers outlining research issues for future work.

Extended abstract will be invited to present in the interactive panel session, and include initial controversial ideas and visions, reports on early (or negative) results, or reflections on existing and future challenges on the theme of the interactive session. For instance:

How can we design more powerful analytics for large, heterogeneous datasets while minimizing carbon footprint and environmental impact?
What societal and environmental ethical challenges rise from resource-intensive analytics and how can we cope with them?
How can we leverage federated technologies, such as edge computing, federated learning, or data spaces among others to reduce energy consumption and data movement?
Can we design sustainable analytics that are still inclusive, ensuring accessibility for low-resource organizations?
How can we drive the design of analytical systems that promote sustainability in addition to performance and accuracy?
How can we improve provenance tracking and data bias awareness to enable more trustworthy and ethical analytics?
The panel session will feature short presentations followed by extensive and interactive discussions on the presented topics. We encourage the authors to propose topics and perspectives that will engage the audience and ignite debate among the participants. Ultimately, the goal is to tap into one of the original functions of workshops as a forum for discussion, where researchers come together to brainstorm and contribute to paving the way for future research directions.

The page limit is 8 pages for full papers, 4 pages for short papers, and 2 pages for extended abstracts (in CEUR format, double-column, excluding references). Each submission will be reviewed by 3 members of the program committee, the review process is single-blind, and thus authors must include their names and affiliations in submissions.
Extended abstracts are short papers with an abstract, a main body, and references but have only 2 standard pages of content references included.

Research topics include, but are not limited to:

Design and Language
- Data management fundamentals: architectures, design, ETL/ELT, reverse ETL, modeling, data integration, database design for big data, query processing, maintenance, evolution, security, personalization, and privacy in decision support systems.
- Data Variety: unstructured data (e.g., text), semi-structured data (e.g., XML, JSON), multimedia, spatial, temporal, and spatio-temporal data, stream and sensor data, semantic web, data lakes, data spaces, data quality, graph data, multistore and polystore solutions, multi-model data warehouse
- Explainable, trustworthy, and interpretable analytics: bias in big data and how to mitigate it; data quality and data cleaning; FAIRness (Findability, Accessibility, Interoperability and Reusability) in OLAP

Optimization
- Coping with Volume: physical organization, performance optimization and tuning, scalability, MapReduce and Spark for data analytics, performance optimization of ETL/ELT.
- Coping with Velocity: Deployment on parallel machine, database clusters, cloud infrastructures and serverless architectures, active/real-time analytics, real-time queries.

Analytical Processing and Applications
- Analytics and Value: OLAP, data exploration through visualization, recommendation, reformulation, approximate query-answering, personalization, result presentation, data storytelling, graph analytics, process mining, advanced visualization for business contexts.
- Analytics and Veracity: heterogeneous data integration for analytics, quality aspects of data analysis, exploration outcome and end-user experience, fairness of data analysis, analytics and data driven decision making for the data enthusiasts.
- Integration of analytics with machine learning, data mining, information retrieval, search engines, data science, predictive and prescriptive analytics.
- Big Data applications: smart city, smart health, smart energy, smart grid, smart agriculture.

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## Program co-Chairs

Alejandro Maté, University of Alicante, Spain
Eleni Tzirita Zacharatou, Hasso Plattner Institute, Germany

## Steering Committee

Alberto Abelló, Universitat Politecnica de Catalunya, Spain
Ladjel Bellatreche, LIAS/ISAE-ENSMA, France
Alfredo Cuzzocrea, Universitá della Calabria, Italy
Enrico Gallinucci, Università di Bologna, Italy
Carlos Garcia-Alvarado, Amazon, USA
Lukasz Golab, University of Waterloo, Canada
Matteo Golfarelli, University of Bologna, Italy
Katja Hose, Aalborg University, Denmark
Patrick Marcel, University of Orléans, France
Carlos Ordonez, University of Houston, USA
Torben Bach Pedersen, Aalborg University, Denmark
Stefano Rizzi, University of Bologna, Italy
Oscar Romero, Universitat Politecnica de Catalunya, Spain
Alkis Simitsis, Athena Research Center, Greece
Il-Yeol Song, Drexel University, USA
Kostas Stefanidis, Tampere University, Finland
Dimitri Theodoratos, New Jersey Institute of Technology, USA
Juan Carlos Trujillo, University of Alicante, Spain
Panos Vassiliadis, University of Ioannina, Greece
Robert Wrembel, Poznan University of Technology, Poland
Esteban Zimanyi, Universite Libre de Bruxelles, Belgium