=Paper= {{Paper |id=Vol-2523/xpreface |storemode=property |title=None |pdfUrl=https://ceur-ws.org/Vol-2523/xpreface.pdf |volume=Vol-2523 }} ==None== https://ceur-ws.org/Vol-2523/xpreface.pdf 
                                     Preface

   In 2019 XXI International Conference “Data Analytics and Management in Data
Intensive Domains” (DAMDID/RCDL’2019) takes place on October 15-18 at the
Kazan Federal University.
   The “Data Analytics and Management in Data Intensive Domains” conference
(DAMDID) is held 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 domains driven by data-intensive
research. Approaches to data analysis and management being developed in specific
data-intensive domains (DID) of X-informatics (such as X = astro, bio, chemo, geo,
med, neuro, physics, chemistry, material science etc.), social sciences, as well as in
various branches of informatics, industry, new technologies, finance and business
contribute to the conference content.
   Traditionally the program of the DAMDID/RCDL’2019 is oriented data science
and data-intensive analytics as well as on data management topics. The program of
this year includes keynotes and invited talks covering a broad range of conference
topics.
   Keynote by Bernhard Thalheim (full professor at Christian-Albrechts-University at
Kiel) is devoted to models as one of the universal instruments of humans. Four specif-
ic utilisation scenarios for models are considered as well as methodologies for the
development of proper and well-applicable models. Anton Osokin (leading research
fellow and deputy head of the Centre of Deep Learning and Bayesian Methods at
National Research University Higher School of Economics) gives a talk on ways for
combining neural networks and powerful algorithms already developed in various
domains. Experiences in creating B.Sc. and M.Sc. study programs in Data Science are
considered in the keynote by Ivan Luković (full professor at the Faculty of Technical
Sciences, University of Novi Sad). Invited talk by Mikhail Zymbler (head of Depart-
ment for Data Mining and Virtualization at South Ural State University) considers an
approach for the integration of data mining methods with open-source relational
DBMS enhanced by small-scale modifications of the original codes to encapsulate
parallelism.
   Workshop on Data and Computation for Materials Science and Innovation
(DACOMSIN) hosted by the National University of Science and Technology MISiS
in Moscow constitutes the first day of the conference on October 15. The workshop is
aimed to address communication gap across communities in the domains of materials
data infrastructures, materials data analysis, and materials in silico experiment. The
workshop brings together professionals from across research and innovation to share
their experience and perspectives of using information technology and computer sci-
ence for materials data management, analysis and simulation.
   The conference Program Committee has reviewed 34 submissions for the confer-
ence, 18 submissions for DACOMSIN Workshop and 5 submissions for the Ph.D.
workshop. For the conference, 17 submissions were accepted as full papers, 10 as
short papers, whereas 7 submissions were rejected. For the DACOMSIN Workshop, 3
submissions were accepted as full papers, 3 submissions were accepted as short pa-
pers, 5 submissions were accepted as demos, 7 submissions were accepted as posters.
For the Ph.D. workshop, 4 papers were accepted, and 1 was rejected.
    According to the conference and workshops program, these 42 oral presentations
are structured into 11 sessions including Advanced Data Analysis Methods, Digital
Libraries and Data Infrastructures, Data Integration, Ontologies and Applications,
Data and Knowledge Management, Data Analysis in Astronomy, Information Extrac-
tion from Text, Data Formats, Metadata and Ontologies in Support of Materials Re-
search, Materials Databases, Materials Data Infrastructures and Data Services, IT Ap-
plications and IT Platforms for Materials Design and Simulation.
    Though most of the presentations are dedicated to the results of researches con-
ducted in the research organizations located on the territory of the Russian Federation
including Chernogolovka, Dubna, Ekaterinburg, Kazan, Moscow, Novosibirsk, Ob-
ninsk, Tomsk, Samara, St.-Petersburg, the conference confirms features of interna-
tionalization witnessed by 7 talks prepared by the foreign researchers from such coun-
tries as Armenia (Yerevan), China (Shenzhen, Beijing), France (Clermont-Ferrand),
Great Britain (Harwell), Japan (Tokyo), Switzerland (Lausanne).
    The chairs of Program Committee expresses their gratitude to the PC members for
carrying out the reviewing of the submissions and selection of the papers for presenta-
tion, to the authors of the submissions as well as to the host organizers from Kazan
Federal University. The Program Committee of the conference appreciates the possi-
bility of using the Conference Management Toolkit (CMT) sponsored by Microsoft
Research, which provided great support during various phases of the paper submis-
sion and reviewing process.

December 2019                                                    Alexander Elizarov
                                                                      Boris Novikov
                                                                    Sergey Stupnikov