XXVIII International Conference on Data Analytics and Management in Data Intensive Domains DAMDID/RCDL 2026, Dedicated to the Memory of A.N. Gorban

Conference Overview

General Information

«Data Analytics and Management in Data Intensive Domains» conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business are expected to contribute to the conference content.

DAMDID conference was formed in 2015 as a result of transformation of the RCDL conference («Digital libraries: advanced methods and technologies, digital collections») with an intention to create a forum reflecting the urgent challenges of data organization, exploration and analysis in various data intensive domains (DID). The transformation was provided so that the continuity with RCDL has been preserved by the transformed conference as well as the RCDL community formed during the sixteen years of its successful work also has been preserved.

Exponential growth of data practically in all activity areas and consolidating role to be played by informatics and IT for the development of methods and facilities for data analysis and management in various data intensive domains (DID), study of experience of such methods application and stimulating of their advancement serve as a motivation for this conference organization

Main objective of this conference is to promote the acceleration of researches, improvement of their efficiency (quality and visibility of results, competitive ability) at the expense of the enhancement of methods and facilities for data analysis and management in DID. It is expected that the mutual complementarity of approaches in interdisciplinary DID will contribute to the creation of the corporate culture generalizing methods for data analysis and information systems development applicable in diverse DID.

The conference structure includes plenary invited talks and tutorials presented by the leading researchers, regular sessions containing regular and short presentations of the research results obtained in various conference tracks, as well as demo sessions. The official language of the conference is English. In frame of the conference the PhD Workshop is planned that is oriented on the young researchers. Co-located with the conference the satellite events are also planned including workshops (open and by invitation) and invited sessions.

The selection of papers for the Conference is made according to the results of the independent reviewing of a submission by three members of the Program Committee. The Program Committee can accept work for presentation as a regular paper, short paper or demo.

Target audience

DAMDID conference is a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in DID (domain is data intensive if its development is induced by elaboration of data that not necessarily might be “Big”). For participation at the conference the specialists from such DID as X-informatics (where X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social science, economy, etc., as well from the areas of statistics, informatics, data mining, machine learning, data science, new technologies and IT, business, etc. are invited.

We welcome papers on interdisciplinary research, but we encourage authors to focus not only on the problems of the domain, but also on the rationale for choosing computer science methods and to analyze the research results from a computer science perspective.

Categories of submissions and reviewing

regular papers reflecting original scientific results (from 12 to 15 pages)
short papers (work in progress) (from 6 to 11 pages)
tutorials (proposals should be submitted to the PC co-chairs)

For reviewing process papers of any category are submitted to the Program committee in digital form by the EasyChair system in PDF in strict conformance with the Springer Computer Science Proceedings Word or Latex format.

Two-round single-blind peer-reviewing will be organized. During the first round each paper (demo) is reviewed by at least three PC members. As a result of the first round a paper (demo) can be accepted as a full paper (demo), rejected or recommended to be revised w.r.t. remarks in reviews. All papers recommended to be revised are subjects for the second round of reviewing. During the second round a paper (demo) is reviewed again. As a result of the second round a paper (demo) can be accepted as a full paper (demo), short paper (demo) or rejected.

Soon after the conference the papers are distributed among different volumes of proceedings. Top-rated full papers are included into the CCIS volume and journal volumes (Lobachevskii Journal of Mathematics, Pattern Recognition and Image Analysis, Automation and Remote Control). Other full and short papers (demos) are included in the RCSI journal volume.

Conference topics

The open list of topics proposed for submission is organized in form of the tracks presented in the list given below.

Tracks for data analysis, problem solving, experiment organization

Problem statement and solving: urgent problem or phenomena required study in a specific domain or in a generalized way, thorough insight based on the nature, characteristics of the phenomenon and data available, approaches for organization of problem solving and methods selection, problem classification in various domains, process of problem solving and tools applied.
Organization of experiments: survey of approaches for the organization of experimental research, scientific theory justification, experiment simulation, research cycles, robotization, infrastructures for experiment organization, reproducing of results, workflow metadefinition and reuse, verification of results, comparison of new results with those obtained earlier.
Hypotheses and models as constituents of research experiments: methods and facilities for hypotheses generation and testing, construction of computerized models, models as a mean for theory and hypothesis verification, cognitive modeling paradigm, experience of creation of predictive models in research.
Advanced data intensive analysis methods and procedures: state of the art in methods of statistics, data mining, machine learning, multivariate analysis, evaluation of methods generality and specialization, orientation of methods on specific domains and kinds of data, classification of methods, systematization of experience of methods application for problem solving, cognitive analytics for data-driven decision making, information visualization and exploratory analysis, meta-analysis methods, Big Data analytics efficiency and scalability, new data analysis methods development.
Conceptual modeling: formalization of semantics of the subject domains, conceptual specification of problems and evolution of ontologies in specific domains, experience of applying of various models and tools for ontology support, semantic annotation for concept formation, progress of ontological modeling, ontological models use for database schema specification, independence of conceptual specification of data, abstract specification of algorithms and workflows in the conceptual models, semantic interoperability of programs.
Research support in data infrastructures, data intensive use cases: functions and architectures of facilities for research support (virtual laboratories/observatories, data centers), cross-infrastructure interoperability and data sharing between interdisciplinary researches, data intensive use cases for research data infrastructures, experience of use case implementation.

Tracks for data management

Methods, tools and infrastructures for data acquisition and storage: advanced projects, experience of data acquisition and storage in long-living projects, comparative analysis of the projects, project surveys, facilities and approaches for data collecting and storage, specificity of semantics, structure and characteristics of data (including streaming data), data representation, metadata organization, data quality, data provenance (including taking them from the literature), data cleansing, problems of Big Data storage.
Information security and data management systems resiliency: Access control in hybrid and multi-model data infrastructures, data anonymisation, secure data processing and analysis, artificial intelligence security, encryption for data management systems, data querying security, distributed data integrity, data infrastructure distributed audit, risk assessment and security evaluation of data infrastructures.
Data integration: methods and tools for entity resolution and fusion in the Big Data infrastructures, unification of various data models (such as NoSQL, graph-based, RDF-based, array-based models), canonical data models and their synthesis, schema and ontology matching and mapping, methods and tools for virtual data integration, application-driven subject mediators, semantic integration of data, data warehouses, ETL process support, multidimensional data models, data integration in hybrid infrastructures supporting structured, semi-structured and non-structured data, infrastructures of data integration systems, application of data integration facilities in specific domains.
Information extraction from observational data: issues of extracting the most complete and up-to-date information from data in astronomy, spectroscopy, material science, medicine, etc.; application of data analysis methods to classify objects and search for anomalies
Information extraction from texts: identification and extraction of structured information from the texts, declarative languages and methods for information extraction, linguistic methods, NLP, multilingual textual data, instruments for textual analysis.
Research data infrastructures and their applications: various data infrastructures, based on data and compute-intensive platforms (such as clouds and grids, distributed clusters, supercomputers, parallel database machines, etc.), new models for data intensive programming in such infrastructures and Big data platforms, metadata and modeling in data infrastructures, virtualization based technologies, evaluation of performance of data infrastructures, scalability issues.
Semantic Web: languages, tools, and methodologies for representing and managing data, semantics and reasoning on the Web, semantic interoperability and cross identification of the Semantic Web resources, spatio-temporal Semantic Web data and ontologies, harvesting of Semantic Web data from diverse data collections, Web data quality and provenance, multidialect architectures for declarative conceptual specification and problem solving over heterogeneous collections of data, application of Semantic Web facilities for problem solving, linked open data.

Conference Publications Overview

Conference post-proceedings consist of Conference Track proceedings (full papers and some high-quality short papers in English) to be submitted to Springer’s Communications in Computer and Information Science (CCIS) and Journal Track proceedings (limited topics) to be submitted to Lobachevskii Journal of Mathematics, and to the Pattern Recognition and Image Analysis. A supplementary volume will be submitted to a scientific journal indexed in RSCI. Previous DAMDID proceedings in Springer’s Communications in Computer and Information Science (CCIS, http://www.springer.com/series/7899) for 2016-2024 are available at https://link.springer.com/conference/damdid. Previous proceedings in CEUR for 2011-2021 are available at https://ceur-ws.org/. Proceedings of 2022 and 2023 are published as special issues of the Lobachevskii Journal of Mathematics, the Pattern Recognition and Image Analysis, the Automation and Remote Control. Proceedings of 2025 are in press.