Event Calendar

Have any doubts or questions about your obligations as a Horizon Europe (HE) grant holder in terms of Open Access to publications and Research Data Management? We will present the HE requirements, followed by some time for your questions to our experts. You will also get a preview of the main tools and services OpenAIRE provides to help project coordinators and research support staff on the requirements’ compliance.

This workshop provides an opportunity to learn about the functionality of a reputable, free and open repository developed by FAIRmat. FAIRmat is a consortium of the NFDI and provides the condensed-matter physics and chemical physics of solids community with the infrastructure, tools, and knowledge to make their research data FAIR. NOMAD was built to to be a FAIR and federated data infrastructure for materials science. 

In diesem Workshop zeigen wir euch, wo ihr OER findet und unter welchen Bedingungen ihr diese verwenden dürft. Der Workshop kombiniert dabei Wissenseinheiten mit interaktiven Elementen

This short course is teaching tools and practices for producing and sharing quality, sustainable and AIR (Findable, Accessible, Interoperable and Reusable) research software to support open and reproducible research. The course can be delivered over 2 full or 4 half days.

The training session will shed light on OPERAS Metrics, a database providing usage and impact information for published Open Access (OA) books. In the first part of the training, the key features and benefits of OPERAS Metrics will be presented, including its role in aggregating data from different sources to provide a comprehensive view of OA book usage. The session will also discuss how OPERAS Metrics fits into broader research assessment practices, addressing the Open Science-aware perspective of the GraspOS project.
In the second part of the training, participants will take part in a hands-on technical training where they will receive step-by-step guidance on how to use OPERAS Metrics.

Für Sie ist es wichtig Ihre Forschung sichtbar zu machen und Ihre Ergebnisse zu veröffentlichen. Einzelne dubiose Anbieter versuchen dies mit betrügerischen Publikationsangeboten auszunutzen, doch wie kann man diese identifizieren? In diesem Input erhalten Sie hilfreiche Tipps, wie Sie einen potentiellen Predatory Publisher erkennen können.

Research funders expect you to demonstrate impact of your research. Research councils and Research England require you to provide evidence of this through Researchfish and the Research Excellence Framework (REF). For REF impact case studies, we need to be able to provide a strong narrative and robust evidence of the impacts claimed. This workshop will help you to develop a plan for evaluating the impact from your own research.

RStudio certified instructor, Yanina Bellini Saibene has put together this R introductory course for new or beginner coders. “From spreadsheets to R” is intended for people who use spreadsheets for data manipulation and analysis but have never programmed and would like to learn how to work with R. This course aims to answer questions such as: “Why use R?” and “Where to start?”

European legal acts have been sprouting up all over the place in recent years – the Data Act is one of them. In his presentation, Oliver Vettermann (FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur GmbH) will provide an overview focused on RDM and attempt to clarify the question: What are the benefits of the Data Act for science and research?

Open Access und Creative Commons-Lizenzen (kurz CC-Lizenzen) gehören zusammen. Doch die Wahl der eigentlichen Lizenz-Variante für die eigene Publikation kann eine Herausforderung darstellen und sollte wohlüberlegt sein. In diesem Input werden Ihnen die verschiedenen Lizenz-Typen und einzelne Entscheidungshilfen bei der Suche nach der passenden CC-Lizenz vorgestellt.

This introductory part of the workshop series will introduce you as to how you can benefit from professional research data management throughout the entire life cycle of your research data and how you can implement good scientific practice. You will learn about the range of possibilities to make your data Findable, Accessible, Interoperable and Reusable (FAIR). What is RDM and why is it important? (Funding, Re-use, FAIR) – Research Data Life Cycle – Good Scientific Practice & DFG Codex – FDM infrastructures (HeFDI, NFDI) – Outlook for the following events.

In the first part of this two-day workshop, participants will learn the basics of open science and reproducible research. They will learn the difference between replicability and computational reproducibility, know what FAIR data is, and be aware of how to handle personal and sensitive data. In the second part, the participants learn the basic reproducible research workflow for the three main stages of research (i.e. data acquisition, data processing, and data analysis) by using tools such as RStudio, Jupyter Notebooks, and the version control system GIT. Participants will know how to organize a research project using RStudio and Jupyter Notebooks, how to use Quarto and Markdown for documenting the research steps, how to organize files and folders, and how to use the version control system GIT for collaboration.

This session marks the starting point of an open exchange on how we can think about and explore the connections between Well-Being and Open Science. To start off, Josefine Honke, EUniWell Task Lead for Open Science at the University of Konstanz, will share some initial reflections and ideas to spark the conversation. Afterwards, we are eager to hear your questions and perspectives on the intersection of Open Science and Well-Being.

 In dieser Online-Veranstaltung beschäftigen wir uns unter anderem mit folgenden Inhalten und Fragen: Welche Lizenztypen gibt es? Wo finde ich freie Materialien für meine Publikation? Welche Lizenz passt für meine (Daten-)Publikation?

Research, and how it is conducted, is ever-changing and requires those that are tasked in its support to also keep up-to-date in Research Data Management, Open Access and Open Science in general. OpenAIRE’s train-the-trainer bootcamps aim at empowering trainers with the knowledge and the know-hows of Open Science so they can pass it onto the researchers and students themselves, and ultimately help create a more open, transparent and accessible research ecosystem

The Data Documentation Initiative (DDI) is an international standard for describing the data produced by surveys and other observational methods in the social, behavioral, economic, and health sciences. The meeting will bring together DDI users and professionals from all over Europe and the world. Anyone interested in developing, applying, or using DDI is invited to attend and present.

In diesem Workshop gibt es Gelegenheit für den gemeinsamen Erfahrungsaustausch zum FDM in großen Verbundprojekten. Ein besonderer Fokus liegt dabei auf euren Erfahrungen mit guten Praktiken und Schwierigkeiten sowie auf den für das aktive FDM notwendigen und bereits konkret nutzbaren Forschungsinfrastrukture

Each team of participants will cooperatively produce visualizations of European Social Survey (ESS)/CROss-National Online Survey (CRONOS) Panel data and showcase their results. Participants can use any software or tools of their choice to create their visualizations. Why participate? Develop and apply your data visualization skills. In-depth and hands-on opportunity to improve your skills in visualizing your research outcomes. Networking: Connect with fellow researchers and professionals in your community. Win prizes: The top 3 teams will receive awards after final presentations of the results. All participants will receive a certificate of participation.

Die Kurzschulung bietet einen fundierten Einstieg in ethische und rechtliche Aspekte im Kontext von Forschungsprojekten. Der Fokus liegt auf folgenden Themen: wissenschaftliche Integrität, Datenschutz im Zusammenhang mit Personendaten, Anonymisierung und Pseudonymisierung, Einwilligungserklärung sowie Lizenzen.