Event Calendar

Gaining visibility and being quoted is crucial for academic careers. The first step in to ensure that you are correctly findable in databases. This workshop provides practical guidance on how to achieve it and covers the following topics: - Different persistent identifiers for correct data mirroring in other databases - Funder note, affiliation and compliance: why they matter- Publishing and quoting research data- Republishing in repositories- Curating profiles in Google Scholar, Web of Science and ORCID.

Research software underpins nearly every stage of modern science, from data acquisition to large-scale computation and emerging AI-driven workflows, as highlighted by Research Software Engineering Day, which builds on the momentum of previous editions. As research questions grow in complexity, there is an increasing need for robust software engineering practices, transparent and reusable code, and approaches that scale from high-performance computing to resource-constrained environments. Research Software Engineering Day brings together practitioners to address these needs across seven thematic tracks: Software engineering practices in research - FAIR software in practice - Open-weight language models and lightweight ML approaches (such as tinyML and edgeML) - Computational challenges in the sciences - Research Software in the context of High-Performance Computing Reproducible workflows - Success and Failures of LLM applications - Through talks and focused discussions, participants will explore practical methods, shared challenges, and real-world use cases.

OpenAIRE is running a series of community calls for ARGOS to support all researchers in meeting their Horizon Europe requirements by creating FAIR (Findable, Accessible, Interoperable, Reusable) DMPs. Similarly, it supports all research performing and funding organisations to orchestrate their data services around ARGOS and connect data workflows contributing to interconnected Research Data Management ecosystems. These calls offer the opportunity to discover ARGOS novelties and learn how to benefit from them in your practice, share feedback and discuss the future of DMPs as FAIR and machine actionable outputs, i.e. as complete outputs that bring validated information, qualified references and automations to the table to assist the processes of collecting, documenting and publishing your data.

Zotero ist ein freies, quelloffenes Literaturverwaltungsprogramm zum Sammeln, Verwalten und Zitieren unterschiedlicher Literaturquellen und unterstützt bei der Erstellung von Literaturverzeichnissen sowie beim Zitieren in wissenschaftlichen Arbeiten. Der Basiskurs unterstützt Sie bei Ihren ersten Schritten mit dem Programm; Sie erfahren: wie Sie Zotero installieren - wie Zotero aufgebaut ist - wie Sie schnell und einfach wissenschaftliche Quellen erfassen - wie Sie den passenden Zitierstil finden - wie Sie Literaturnachweise und Literaturverzeichnisse in Microsoft Word einfügen.

Haben Sie bereits mit Zotero gearbeitet oder am Basiskurs teilgenommen? In diesem Kurs lernen Sie weitere Funktionen von Zotero kennen: Die gesammelten Volltexte auswerten, Textpassagen und Abbildungen extrahieren - Eigene Notizen und Ideen (=Wissenselemente) erfassen - Wissenselemente strukturieren, wiederfinden und während des Schreibens in Word einbinden - Hilfreiche PlugIns & „Smart Groups“.

Haben Sie bereits mit Zotero gearbeitet oder am Basiskurs teilgenommen? In diesem Kurs lernen Sie weitere Funktionen von Zotero kennen: einen Zotero-Account anlegen, um die Vorteile der Zotero WebCloud zu nutzen - lokal abgelegte Daten mit der Zotero WebCloud synchronisieren; inkl. Exkurs: "NextCloud der TU Dresden für WebDAV" - Zotero Gruppen anlegen, teilen und befüllen.

Researchers should, whenever possible, publish the underlying research data alongside their results as supporting evidence. If no suitable subject-specific repository is available for this purpose, the Research Data Repository in Thuringia—REFODAT for short—can be used. It has been publicly accessible for two years and enables the publication of research data as standalone data publications. As a new use case, REFODAT also offers the option of storing research data even when publication is not planned—for example, to meet data retention requirements set by third-party funding agencies.

Would you like to know what challenges and pitfalls can arise when publishing research data? In our upcoming Coffee Lecture, we’ll shed light on the most common problems encountered in data publications—based on the study by Pennekamp, J., Lohmöller, J., Schütte, D., Loos, J., & Henze, M. (2026). Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints (Version 1, arXiv, doi.org). We will present and discuss the problem areas identified in the study in greater detail. In addition, we will share initial practical experiences from REFODAT’s editorial work to provide insights into the challenges of publishing research data.

The E-Science-Tage are an interdisciplinary conference series on the topics of research data management and open science - with a wide range of opportunities for professional exchange between science and technology.

Under the festival-wide motto Meet. Share. Inspire. Care., the Open Science Festival creates a platform for exchange for everyone who wants to make science more transparent, accessible and collaborative. Researchers from all disciplines, young scientists, students and employees from libraries and research institutions come together to exchange ideas and learn from each other.