Data Management Conceptual Algorithm of Transnational Digital Scientific Infrastructure as an Answer to the Globalization Challenges

Abstract

Research background: The research background of the article has been formed by the analyses and expert assessments, made during the development of 10 different, strategic plans for the development of transnational digital distributed scientific infrastructure. This type of scientific network represents the answer of the regional research institutions, scientists, and businesses to the globalization challenges and emerging technologies. Purpose of the article: The purpose of the paper is to contribute to the enrichment of the limited amount of literature on project management of digital transnational science networks through presenting a conceptual algorithm of a starting-up scientific infrastructure project. Methods: The approach is based on defining the core inter-related features of a data management, developed for the needs of a newly- establishing virtual transnational scientific infrastructure. It is aiming to justify the defined principles for FAIR data, Data set description, Standards, and metadata, Data sharing, access and preservation, Restricted and Open research data, Data quality, laid down by the data management conceptual algorithm. Findings & Value added: The algorithm has been presented as an integral part of a won project aiming to establish a virtual trans-national science infrastructure between partners from 5 EU countries. The findings are dealing with the definition of new organizational models based on a common mega-data system. The proper adaptation of the data management algorithm by each partner will improve the information management within its specific infrastructures as well as the visibility of their research outputs.

Keywords

• data management
• research and development
• innovation clusters