The Role of Data Management and Open Science in Supporting Digital Technologies at Universities
The Role of Data Management and Open Science in Supporting Digital Technologies at Universities
Author(s): Plamen Milev
Subject(s): Social Sciences, Economy, Education, Business Economy / Management, Sociology, Higher Education , Social Informatics, ICT Information and Communications Technologies, Socio-Economic Research
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: Data Management; Open Science; Digital Technologies; Virtual Reality (VR); Augmented Reality (AR)
Summary/Abstract: This paper explores the roles of data management and open science in enhancing digital technologies at universities. It examines how these practices support the integration of advanced tools like big data analytics, machine learning, and immersive technologies such as virtual reality (VR) and augmented reality (AR). Effective data management ensures data accuracy, security, and accessibility, facilitating robust research and efficient operations. Open science promotes transparency, collaboration, and the democratization of knowledge, accelerating innovation and enhancing research reproducibility. The paper reviews current practices, challenges, and benefits, highlighting the synergies and conflicts between data management and open science. Despite challenges such as funding constraints, cultural resistance, technical barriers, and data privacy concerns, adopting robust data management and open science practices is essential for leveraging digital technologies in higher education. Recommendations for universities include investing in infrastructure, fostering a culture of openness, developing clear policies, and promoting collaboration. These strategies are crucial for advancing research capabilities and educational outcomes in the digital age. This work underscores the importance of continuous adaptation to keep pace with technological advancements and ensure effective support for digital transformation at universities.
- Page Range: 69-75
- Page Count: 7
- Publication Year: 2024
- Language: English
- Content File-PDF