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.
Highlights
Technological globalization, which is one of the known types of globalization want to be solely offered to the higher social categories that had access to technological improvements
One of them refers to essential changes in the quality, quantity, storage and usability of the information in terms of project management and corporate information management and communication, especially when these processes occur in a multilingual, multi-cultural transnational environment
The here proposed Data Management Algorithm (DMA) describes the procedures used in the project for research infrastructure unit (RIU) for the processing of data during the project and after its end, defines the various kinds of data that need to be collected, stored and used, and synthesized, which approaches and standards will be applied during data collection and usage, suggests the procedures for sharing and open access to the scientific infrastructure's data and for curation and preservation of the data
Summary
Technological globalization, which is one of the known types of globalization want to be solely offered to the higher social categories that had access to technological improvements. A large scale of completely different as social, cultural and economic status, group of people have access to emerging technologies, networks and popular kind of digital innovations for business, social, educational or research interactions. Technological globalisation makes the individuals connected as well as the organizations, markets, governments and countries. It changes the dimensions of the accessibility to information resources, their organization, processing, structuring and archiving. It would be much more satisfactory if the globalizing trends might be seen only in their positive impact as creativity and innovation booster, but we cannot neglect easier all the challenges faced, together with the advantages of the global digitalization trend. One of them refers to essential changes in the quality, quantity, storage and usability of the information in terms of project management and corporate information management and communication, especially when these processes occur in a multilingual, multi-cultural transnational environment
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