Open Science Practices

Major: Applied Mathematics
Code of subject: 8.113.00.M.020
Credits: 3.00
Department: Social Communication and Information Activities
Lecturer: Dr. Oleksandr Berezko
Semester: 3 семестр
Mode of study: денна
Мета вивчення дисципліни: The aim is to acquaint students with the prerequisites, principles, and methodology of modern open scientific practices: publication of scientific results in open access; work with open and FAIR research data; open licenses; open peer review; modern cloud technologies in the scientific field; principles of building a business based on open innovations.
Завдання: The study of the discipline involves the formation of the necessary competencies in students: - general competencies: GC1. Flexibility of thinking. Ability to think flexibly, understand the problems and tasks of related fields of knowledge, while maintaining a critical attitude to both established scientific concepts and their own activities. GC6. Ethical attitudes. Awareness and understanding of philosophical and ideological foundations, modern trends, directions and patterns of development of national science in the context of globalization and multiculturalism. Knowledge of the standards and type of thinking necessary for scientific research and publication activity, including critical awareness and intellectual honesty. Understanding the importance of own research in the context of modern methodological approaches and European integration. GC7. Application of modern information and communication technologies, including methods of obtaining, processing and storing scientific information. - professional competencies: PC5. Ability to analyze, evaluate and compare various paradigms, theories, concepts and approaches in the subject area of scientific research, the ability to draw appropriate conclusions, formulate proposals and recommendations. PC6. Use of original scientific research at a high professional level, achievement of scientific results that create new knowledge, with an emphasis on topical national problems using the latest methods of scientific research.
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: Philosophy and Methodology of Science Teaching Practice
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.
Опис: 1. Using free and open resources 2. Open Principles 3. Open Collaboration 4. Reproducibility, replicability: Working in a reproducible way: For yourself, for others (Academic and Research integrity) 5. Reproducible Research and Data Analysis 6. Preregistration and Replication research 7. Collecting data 8. Managing and sharing research data 9. Data Management Plans 10. Open access journals, repositories, preprints 11. Making your thesis freely accessible 12. Preparing for after your thesis (paper…), join the movement
Assessment methods and criteria: Knowledge assessment methods: rating assessment of the results of a selective oral survey; performance and defense of practical works and performances at practical classes; testing; activity in classes, submitted proposals and original decisions, clarifications and definitions; written survey, test control during the semester control.
Критерії оцінювання результатів навчання: Semester evaluation (SE) of students' knowledge is carried out according to the total number of points obtained by the results of the current control (CC) and the control measure (CM).
Recommended books: 1. Directorate-General for Research and Innovation (EC). Open Innovation, Open Science, Open to the World – a Vision for Europe. (2016). 2. OECD (2020). Why open science is critical to combatting COVID-19. 3. Directorate-General for Research and Innovation (EC). Turning FAIR into reality. (2018). 4. Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). 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).