WORLD EXPERIENCE IN SCIENTIFIC DATA MANAGEMENT AND SHARING: BEST PRACTICES AND EXAMPLES OF SUCCESSFUL IMPLEMENTATION

Abstract

The article reviews the world experience in managing and sharing scientific data, which are the basis for modern science and technology. Key approaches to collecting, storing, analyzing and reusing large amounts of information, as well as modern principles of working with scientific data, are considered. Attention is paid to the FAIR concept, which defines international standards for the effective management of scientific resources and ensuring their accessibility for interdisciplinary research. Examples of successful practices from the European Union, the USA, the UK and Australia, where open access platforms for scientific data operate, such as the European Open Science Cloud (EOSC), Data.gov, the UK Data Service and the Australian Research Data Commons (ARDC), are given. These initiatives demonstrate the benefits of an integrated approach to information management, which promotes scientific collaboration, accelerates innovation and increases the transparency of research. The best practices in the field of scientific data management are analyzed, such as the implementation of repositories, automation of processing of large volumes of information, the use of open licenses to simplify information exchange, standardization of metadata and ensuring cybersecurity. The authors note that the use of open licenses such as Creative Commons, the implementation of Dublin Core standards for describing metadata and the development of automated platforms for data collection and analysis have become key factors in the successful management of information resources in leading scientific institutions in the world. The importance of overcoming the challenges associated with ensuring data confidentiality, harmonization of information formats and expanding access to data processing tools is emphasized. As a result, the conclusion is made about the need for global coordination of efforts in the field of scientific data management and the implementation of international standards to support open science and effective collaboration between scientists.