Open Science Practices

Major: Automation and Computer-Integrated Technologies
Code of subject: 8.151.00.M.022
Credits: 3.00
Department: Social Communication and Information Activities
Lecturer: Dr. Oleksandr Berezko
Semester: 3 семестр
Mode of study: денна
Learning outcomes: KN2. Knowledge of methodological requirements for the preparation and conduct of various types of research in the context of data processing and licensing and the basic requirements for data selection. KN3. Knowledge of the peculiarities of using the tools of a modern scientist, modern innovative methods of managing science communication. KN4. Ability to analyze, organize and conduct research using modern information and communication methods and tools, current approaches and processing of experimental data. SK1. Search, analyze, compare and critically evaluate information from various sources. SK2. Ability to write and publish in open access scientific research outputs - papers and accompanying experimental data, understanding of the research lifecycle stages. SK3. Ability to adapt the results of research when writing a dissertation. SK5. Be able to use the knowledge of modern research infrastructure to process research results.
Required prior and related subjects: N/A
Summary of the subject: consider the methodology and practical aspects of conducting scientific research in an open way, as well as the theoretical and applied sides of implementing the Open Science paradigm within the Ukrainian and international scientific environment. We will explore the features of Open Access publishing of research outputs, use of open and FAIR data, application of open licenses, and open peer review. On top of that, we will learn about perspectives of modern ICT in research and discuss the principles of business development based on open innovation.
Assessment methods and criteria: In-class assessment – 40 points, examination – 60 points
Recommended books: 1. Directorate-General for Research and Innovation (EC). Open Innovation, Open Science, Open to the World – a Vision for Europe. (2016). https://op.europa.eu/s/oAJ7 2. OECD (2020). Why open science is critical to combatting COVID-19. http://www.oecd.org/coronavirus/policy-responses/why-open-science-is-critical-to-combatting-covid-19-cd6ab2f9/ 3. Directorate-General for Research and Innovation (EC). Turning FAIR into reality. (2018). https://op.europa.eu/s/oAKb 4. Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 5. Wildgaard, L., Vlachos, E., Nondal, L., Larsen, A. V., & Svendsen, M. (2020). National Coordination of Data Steward Education in Denmark: Final report to the National Forum for Research Data Management (DM Forum). Danish e-Infrastructure Cooperation (DeiC). https://doi.org/10.5281/zenodo.3609516