Abstract: Virtual research centre of digital preservation in Europe provides a natural basis for long-term consolidation of digital preservation research and expertise. Spatial Data Infrastructure will cover technical methods for preservation, access and most importantly re-use of data holdings over the whole lifecycle; legal and economic issues including costs and governance issues as well as digital rights; and outreach within and outside the consortium to help to create a discipline of data curators with appropriate qualifications. Main tasks of Spatial Data Infrastructure SDI development are building global infrastructure for IT and geodata; satellite information harmonization; usage of agreed upon set of standards; clear documentation describing the parts of the system; interoperability between independently created applications and databases; common standards within their interfaces, protocols and data formats; and finally support of a general data policy for data creation, access, and support of satellite information. Fundamental principle of Russian segment of SDI is providing interoperability – the ability of interaction for heterogeneous services and data catalogues within the bounds of a unified informational system. The Russian segment of distributed informational system has been built on the basis of EOLI-XML and SSE technologies.

Abstract: This article analyzes the work of the Third All-Russian Symposium "Infrastructure scientific information resources and systems", held in Sukhum, Abkhazia, 5-8 October 2013. The avalanche growth of electronic content required the development of new approaches to storage and continuous access to digital scientific data. Of particular interest are the current scientific tasks of creating spatial data infrastructures. Symposium traditionally discusses issues related to the integration of geographic information resources and free access to them, research e-Infrastructures to form a distributed scientific information resources, development of related directories and create a network of integrated, interoperable databases. The development of e-Science Infrastructures should be the basis of emerging systems for collective work of researchers based on a virtual integration of information and computing resources. The main focus of the Third Symposium were questions the use of modern approaches to technology development of information systems to the problems of informational support of scientific research.

Abstract:

We investigated the current models of the publication and dissemination of scientific knowledge. We describe the modern information management system of scientific publications and services that determine their functionality.

We discuss the concept of the digital infrastructure of the electronic scientific journal. Under this infrastructure, we understand the complex that combines management software platform of electronic journal and a number of specialized information systems. The software platform realizes the basic operating log management processes. Information systems provide the operation of additional services, taking into account the specifics of the journal subject area.

We present an approach to the organization of the digital infrastructure of the scientific journal based on an open platform Open Journal Systems (OJS). We provide software services that extend the functionality of this platform and considering specificity of the subject area of scientific journals. We have created software modules for automating of electronic scientific journal workflow. These modules are an extension of OJS.

We present a system of services for the automated processing of collections of scientific documents. These services provide verification of document compliance to the accepted rules of formation of collections and their conversion to the established formats; structural analysis of documents and extraction of metadata, as well as their integration into the scientific information space. The system allows to automatically performing a set of operations that cannot be realized for acceptable time with the traditional manual processing of electronic content. It is designed for the large collections of scientific documents.

Algorithms style validation of texts at the article registration stage in the information system of electronic scientific journal, the selection of reviewers, alert and control the timing of reviewing were automated. Information gathering algorithm with dedicated news lines of scientific journals, further analysis and distribution of news by categories and degrees of importance were developed. The algorithm automatically extract bibliographic data from a homogeneous array of publications (in particular, the issues of the scientific journal) and the formation of metadata blocks for export to international information and analytical system were created. Methods integration of OJS platform and international databases of science citation were developed.

We present methods of processing documents containing mathematical formulas: in the collections of documents that contain mathematical formulas, algorithm for the search formulas is developed; basic ideas, approaches and results already obtained by the mathematical knowledge management based on ontology are presented; a method of constructing recommender systems based on mathematical knowledge ontologies described. The method of primary processing automated of scientific article using TеX-notation developed.

The new direction of researches of scientific communications in the environment of Web 2.0 – altmetrics – is considered. We have analyzed the content of the notion «altmetrics», we conducted a comparison of traditional (bibliometric and scientometric) and alternative indicators. We describe the use of world experience informetric services on scientific journals sites. We discussed options for implementing these approaches to create an electronic scientific journal management platform. 

Abstract: International Virtual Observatory (IVO) is a collection of integrated astronomical data archives and software tools that utilize computer networks to create an environment in which research can be conducted. Several countries have initiated national virtual observatory programs that will combine existing databases from ground-based and orbiting observatories and make them easily accessible to researchers. As a result, data from all the world's major observatories will be available to all users and to the public. This is significant not only because of the immense volume of astronomical data but also because the data on stars and galaxies have been compiled from observations in a variety of wavelengths: optical, radio, infrared, gamma ray, X-ray and more. Each wavelength can provide different information about a celestial event or object, but also requires a special expertise to interpret. In a virtual observatory environment, all of this data is integrated so that it can be synthesized and used in a given study. The International Virtual Observatory Alliance (IVOA) represents 17 international projects working in coordination to realize the essential technologies and interoperability standards necessary to create a new research infrastructure. Russian Virtual Observatory is one of the founders and important members of the IVOA. The International Virtual Observatory project was launched about ten years ago, and major IVO achievements in science and technology in recent years are discussed in this presentation. Standards for accessing large astronomical data sets were developed. Such data sets can accommodate the full range of wavelengths and observational techniques for all types of astronomical data: catalogues, images, spectra and time series. The described standards include standards for metadata, data formats, query language, etc. Services for the federation of massive, distributed data sets, regardless of the wavelength, resolution and type of data were developed. Effective mechanisms for publishing huge data sets and data products, as well as data analysis toolkits and services are provided. The services include source extraction, parameter measurements and classification from data bases, data mining from image, spectra and catalogue domains, multivariate statistical tools and multidimensional visualization techniques. Development of prototype VO services and capabilities implemented within the existing data centers, surveys and observatories are also discussed. We show that the VO has evolved beyond the demonstration level to become a real research tool. Scientific results based on end-to-end use of VO tools are discussed in the presentation.

Abstract: We refer to the problems of integration of heterogeneous geospatial data to solve the problems of sustainable development of territories. The conceptual approaches to build up the e-Science Data infrastructure for permanent access to heterogeneous spatial data are proposed. The main challenges of integrating heterogeneous data are analyzed. A model of integration of geospatial data based on the architecture SOA are developed.

Abstract:

In accordance with the requirement of the Higher Attestation Commission (HAC), journal issue data from the List of Peer-reviewed scientific publications in which the main scientific results of dissertations for the degree of Candidate of Sciences and for the degree of Doctor of Sciences (HAC List) have been regularly published in the Russian Science Citation Index (RSCI) in the bibliographic database eLibrary.ru for more than 20 years. In March 2023, the editorial offices of journals from the HAC List, in accordance with the recommendation of the HAC, have post data of 2022 year issues in the Russian Scientific Journals database (RSJ) created by the Russian Scientific Research Institute RIEPP. In April 2025, by order of the Ministry of Science and Higher Education of the Russian Federation, a new requirement was added — for a journal from the HAC List, along with registration in the RISC eLibrary.ru, registration in the Information System (IS) “Metaphora”, developed by the Russian Center for Scientific Information, is required. Journals from the HAC List are recommended to regularly transfer metadata of published issues of journals to the “Metaphora” through specially organized interfaces. What role do the RSJ and “Metaphora” databases play in the infrastructure of scientific publications?

In addition, according to commission of the Government of the Russian Federation, the Russian Center for Scientific Information performs the function of the operator of the “White List” of scientific journals. The “White List” in 2023 was formed by the Interdepartmental Working Group (IWG) of the Ministry of Education and Science of the Russian Federation. The "White List" is supposed to be used to monitor and evaluate the publication activity of Russian scientists. The "White List" currently includes about 29,000 English-language international journals and about 1,000 Russian-language journals from the Russian Science Citation Index (RSCI) database. In 2025, the Russian-language part of the "White List" significantly expanded due to the inclusion of journals from HAC List into the "White List". We would like to receive detailed information from the ideologists of the "White List" on how the levels (U1, U2, U3, U4) of the “White List” journals and the categories (K1, K2, K3) of journals on the HAC List will correspond?