Virtual pre-event: Open Science – an introduction: How can I open my research?
Lecturers: Iryna Kuchma, EIFL, Vilnius, Lithuania Milica Ševkušić, EIFL, Vilnius, Lithuania This introductory talk explains the benefits of Open Science and presents a whole range of practices and tools aimed at making the research process and outputs more transparent and publicly available. It seeks to answer the following questions: WHY research should be open? – […]
Virtual pre-event: Systematic literature review & introduction to course and practical information
1. Systematic literature review Lecturer: Renata Močnik, MSc, University of Maribor Library, Slovenia The term systematic review is used in two ways: it can refer to a prescribed methodology (method) or to the output report to itself. At the end of the lesson: you will know the difference between a classic literature review and a […]
Science communication: theory and practice
Lecturer: Sašo Dolenc, Slovenia Stories can make science more accessible and memorable for the public. They tap into our emotions and imagination, and activate our brain in different ways. In this presentation, we will explore: The elements of a story, The neuroscience of storytelling and The steps to create a good story. We will also […]
An early career researcher’s view on modern and open scholarship
Lecturer: Sebastian Dahle, Biotechnical Faculty of the University of Ljubljana, Slovenia In this interactive session, we will together explore personal motivations, requirements applicable to the individual participants, and added benefits that can be sought through the practice of Open Science. We will contextualize current scientific practices in light of past developments to better understand, what […]
Open science principles and research data
Lecturer: Paola Masuzzo, Open Science Advocate, IGDORE, Belgium During this introductory lecture, we will look into open research practices, starting from Open Access to scientific literature, all the way to FAIR and Open Data. We will try to highlight benefits and challenges of open science practices, underpinning why these are crucial, now more than ever, […]
The power of open data: lessons from a pandemic data tracker
Lecturer: Maja Založnik, PhD, Sledilnik & IMAD, Slovenia In this lecture Maja will examine the critical intersection of open data and social impact. Drawing from her experience of developing an award-winning covid data tracker, she will delve into the importance of open data in public policy, while highlighting the crucial role of data quality. From […]
Unleash your data superpowers: a research data management workshop for superhero researchers, pt. I
Lecturer: Tereza Kalová, Vienna University Library, Austria Are you embarking on a research project for your thesis and want to ensure that your data is properly organized, stored, and shared? Join us for this introductory workshop on Research Data Management! Tereza will guide you through the various stages of the research data lifecycle and provide […]
Unleash your data superpowers: a research data management workshop for superhero researchers, pt. II
Lecturer: Tereza Kalová, Vienna University Library, Austria Are you embarking on a research project for your thesis and want to ensure that your data is properly organized, stored, and shared? Join us for this introductory workshop on Research Data Management! Tereza will guide you through the various stages of the research data lifecycle and provide […]
Dealing with FAIR data workshop, pt. I
Lecturer: Paola Masuzzo, IGDORE, Belgium The goals of this workshop are: 1) Introduce the audience to the FAIR principles for data management and 2) get practical experience with a series of hands-on exercises to work with data in a robust, reliable and replicable manner. In the first part, we will look into a broad introduction […]
Dealing with FAIR data workshop, pt. II
Lecturer: Paola Masuzzo, IGDORE, Belgium The goals of this workshop are: 1) Introduce the audience to the FAIR principles for data management and 2) get practical experience with a series of hands-on exercises to work with data in a robust, reliable and replicable manner. In the first part, we will look into a broad introduction […]
