Love Data Week 2024 (12-16 February)
As every year around Valentine's Day, the International Love Data Week took place, an event initiated by ICPSR, which was all about exploring research data, data management, data literacy and open science and attending exciting events to join in and learn.
In addition to the international and national programme, there were also exciting events at the University of Cologne.
Programme
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10:00–10:45 | Eik Dahms (CRC TRR 341 "Plant Ecological Genetics"): From Chaos to Clarity: Navigating Data Management with FAIR Principles virtuell via Zoom This presentation is designed for individuals with limited experience in data management. We'll embark on a journey from the seemingly chaotic world of data to a clear and organized landscape using the FAIR data principles. Starting with simple examples, we'll introduce the FAIR principles — Findable, Accessible, Interoperable, and Reusable — and demonstrate their importance in making data more understandable and valuable. The presentation will conclude with practical examples showcasing how these principles can be applied in real-world scenarios, empowering you to navigate the realm of data management with confidence. | |
11:00–12:30 | Emilia Kmiotek-Meier (Institute of Sociology and Social Psychology): Beautiful data: Data visualisations basics virtuell via Zoom In this interactive session, you will learn how to appropriately visualise data from both technical and design perspectives. We will also explore tools for data visualisation. There will be time for questions and discussion. | |
14:00–15:30 | Introduction and moderation: Elen Le Foll (Department of Romance Studies/DCH), Speakers: Beatriz Castillo Upiachihua, Till Bäumker, Luca Leppert, Wing Yan (Vanessa) Tsang (Institute for Linguistics): Short presentations & discussion: How reproducible is published research with open-access data? virtuell via Zoom While sharing data undeniably contributes to enhancing the reproducibility of published research, this session shows that it is far from a silver bullet. Join us as four dedicated M.A. students report on their attempts to reproduce the results of four recent quantitative linguistics publications, using the authors' original data. Their insightful conclusions shed light on pervasive reproducibility challenges, setting the stage for a lively discussion on the (lack of) incentives, recurrent problems, and potential solutions to improve the reproducibility of quantitative research. | |
15:45–17:00 | Elen Le Foll (Department of Romance Studies/DCH): Workshop: Towards more reproducibility: Best-practice examples with RMarkdown and Quarto virtuell via Zoom In response to the suboptimal state of research reproducibility identified in the previous session, this hands-on workshop delves into best-practice examples using RMarkdown and Quarto. Together, we dissect published papers that rely on these formats to understand how they can help us avoid pitfalls, reduce errors, and enhance the reproducibility of research. No prior knowledge of R or any programming language is required to follow the workshop. However, if you are keen to dive in straight away, you should have up-to-date versions of R and RStudio on your computer and have installed the tidyverse and knitr packages before the start of the session (see intro2r.com/chap1.html for installation instructions). |
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09:00–12:00 | Jasmin Schenk, Andreas Mühlichen (C³RDM): Workshop: How to write a Data Management Plan (DMP)? virtuell via Zoom Topic Sustainable research data management (RDM) in terms of the "FAIR principles" has been firmly anchored in the Guidelines for Safeguarding Good Research Practice (GWP) of the DFG as well as in subject-specific recommendations. Since then, terms such as "data management plan (DMP)", "reuse potential" and "publication in trusted repositories" have become common key phrases in the formal requirements of national and international funding schemes. For the successful acquisition of third-party funding as well as for keeping track of your digital data throughout the entire research process, we will familiarize you step by step with the above-mentioned requirements in this workshop. We will also introduce you to suitable templates, tools and services. Workshop aim During the workshop, you will learn about the benefits and components of data management plans. The goal is for you to identify your individual need for action and learn how to actively plan and document RDM in current and future research projects. Format Virtual workshop with registration (max. 20 participants) |
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10:00–11:30 | Alexandra Habicher, Luca Haun, Christopher Stute und Jan Wieners (ZfL): Low Code – Datenextraktion und -transformation mit N8N virtuell via Zoom Die Administration von Studierendendaten kann sehr zeitaufwändig und fehleranfällig sein. Wir präsentieren einen Use Case aus dem Praxissemester in der Lehrer*innenbildung, wo in jeden Semester zwischen 700 und 900 Studierende sowohl bestimmten Schulen als auch bestimmten Fächern zugeordnet werden. Durch die Automation der Datenprozesse mit dem Low-Code Programm N8N kann die Bearbeitungszeit der Datenprozesse erheblich verkürzt und gleichzeitig die Fehlerquote reduziert werden. Der Workflow mit dem Low-Code Programm erlaubt dabei eine Bearbeitung auch ohne Datenspezialisten, sobald die Prozesse erfolgreich implementiert wurden. Wir berichten von den ersten Erfahrungen im Aufsetzten der Worksflows und ihrer Implementation. | |
11:30–12:30 | Lukas Lammers (DCH/Institute of Archaeology): Von der Karte zum interaktiven Modell. Franz Kreuters Topographische Sammlung als VR-Anwendung virtuell via Zoom Die Kreuter'schen Karten, zwischen 1850 und 1857 gezeichnet, sind eine wichtige Quelle zur Kölner Stadtgeschichte. Sie bilden nicht nur einen Großteil der Stadt von oben ab, sondern zeigen auch die Fassaden der Häuser mit zahlreichen Anmerkungen. Für eine aktuell laufende Ausstellung im Historischen Archiv der Stadt Köln wurde aus dem Kartenmaterial erst ein digitales Modell und dann eine Virtual-Reality-Anwendung entwickelt, die einen völlig neuen Zugang zur Quelle eröffnet. | |
13:00–13:30 | Katja Restel (Dezernat 7/OSCC): Let’s do Open Science together at UoC virtuell via Zoom Aufruf an alle Open Science Enthusiast: innen. Euer Interesse ist das fehlende Puzzlestück für dieses Nachmittägliche Kurzformat. Erfahrt zunächst etwas über das neugegründete Open Science Center Cologne (OSCC) und bringt Euch mit eurem Wissen, Erfahrung und Fragen rund um Open Science ein. Lasst uns eine Gemeinschaft bilden, in der diverse Perspektiven Erfahrungsaustausch fördern und Open Science an der Uzk weiterbringen. | |
14:00–15:00 | Leyla Jael Castro (ZB MED – Information Centre for Life Sciences): virtuell via Zoom If you love data, you should love software If you love data, you should love software as software enables you to collect, transform, combine data and so on. You should also love metadata, by the way. While FAIR for research data and Data Management Plans have been nicely integrated into the research cycle, there is still a lot of work to do for research software. In this talk, we will introduce some steps and tools that can be used to improve FAIRness for research software and software management plans. |
Please contact us if you would like to add a contribution or have any questions: