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Forschungsdatenmanagement lernen, anwenden und weitergeben
Forschungsdatenmanagement lernen, anwenden und weitergeben
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Description

Welches Wissen braucht es eigentlich für den Einstieg ins Forschungsdatenmanagement? Und wie klappt FDM im Alltag und bleibt nicht nur ein guter Vorsatz?

NFDI4Biodiversity fördert die Datenkompetenz bei Forschenden, Lehrenden und Studierenden mit einem breiten Angebot an Bildungsangeboten und Ressourcen. Von kurzen Einführungen über praxisnahe Workshops bis hin zur einwöchigen Seasonal School: Es gibt etwas für alle Ebenen – ob gerade erst am Anfang oder schon in der praktischen Anwendung und bereit für eine Weiterentwicklung.

Zusätzlich stehen umfangreiche, frei zugängliche Materialien online bereit: digitale Lernmodule, interaktive Jupyter Notebooks, Videos und der Podcast Rechtsdschungel. Alle Inhalte sind mit offenen Lizenzen nutzbar, anpassbar und weiterverteilbar. Sie decken den gesamten Lebenszyklus von Forschungsdaten ab – von der Planung und Datenerhebung über transparente Analysen bis zur Archivierung. Insbesondere die Selbstlerneinheit erlaubt es, sich dem Thema Datenmanagement in der Biologischen Forschung im eigenen Tempo zu nähern. Sie wird sukzessive erweitert, und bietet die Möglichkeit zum Mitentwickeln. Juliane Röder zeigt, wie Sie die Ressourcen einfach finden, nutzen und sogar gemeinsam weiterentwickelen können – für eine nachhaltige, FAIR-orientierte Forschungspraxis.

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Chemistry-specific README template for data publications
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Chemistry-specific README template for data publicationsThe practice of publishing data alongside a research article, or even as a standalone publication, is becoming increasingly common in the chemistry community. While there are many chemistry-specific repositories, which allow for the storage of chemistry-specific metadata (to a different extent), most data are published in more generic repositories now. Very common repositories are Zenodo, institutional repositories and RADAR4Chem. The ability to provide chemistry-specific metadata is often limited in these repositories. In addition, we noticed that the good practice of providing a README file which describes the provenance of the data is not often used. To support researchers with these two challenges, we have created this README template, which can be completed and added to one's own data publication. We encourage researchers to adapt and reuse the content for their own purposes. Furthermore, we want to encourage them to help to improve this template by adding content, e.g. specific method sections or suggestions for improvements, to our GitHub Repository at https://github.com/NFDI4Chem/Chemistry-specific_README_template_data_publications. New versions of the template will be published in GitHub and Zenodo using the versioning features, and all changes to the template will be documented.
Learning Resource Type
Best Practices, Tutorial
File Format
DOCX, MD, PDF, TXT
Languages
English
Media Type
Text
Publication Date
2026-09-15
License
CC0
Size
4.8 MB
Authors
Keywords
#chemistry#nfdi4chem#rdm#research data management#template#data publication#readme
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Research Data Management for Chemists: A Collection of Practical Checklists
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Research Data Management for Chemists: A Collection of Practical ChecklistsWith this collection of checklists, we aim to provide practical guidance and help you identify the most important steps for managing your research data. Wherever you are in the research data life cycle, the checklists guide you through the key aspects of the respective phase, providing chemistry-specific information, key questions and useful tool tips. The checklists are designed for researchers at all career stages. In total there are eight checklists. The checklists 01-06 guide you through the most important steps during the data life cycle, while checklist 07 is a compilation of useful chemistry-specific research data management tools and checklists 08 is specifically aimed at group leaders and principal investigators. Checklists: 01 Planning 02 Storing data 03 Describing data 04 Archiving data 05 Publishing data 06 Reusing data 07 Tools 08 Group leaders & PI
Learning Resource Type
Best Practices, Tutorial, Worksheet
File Format
DOCX, MD, PDF, TXT
Languages
English
Media Type
Text
Publication Date
2026-09-15
License
CC0
Size
25.4 MB
Authors
Keywords
#NFDI4Chem#Chemistry#RDM#Research Data Management#Checklist#Collection
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DMP Writing Made Easy: A Hands-on Workshop for Chemists
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DMP Writing Made Easy: A Hands-on Workshop for ChemistsThis Open Educational Resource (OER) is part of the Data Management Plan (DMP) workshop, "DMP Writing Made Easy: A Hands-on Workshop for Chemists," which was developed by the Chemistry Consortium of the National Research Data Infrastructure in Germany (NFDI4Chem). The workshop was first offered online on January 21, 2026. The workshop concept was developed as an incubator project of NFDI4Chem during the integration phase of the NFDI basic service on data management plans (DMP4NFDI). This publication directly contributes to the deliverable 2.1, "Concept for outreach support," of the DMP4NFDI integration phase proposal. The workshop materials intended for reuse by others consist of a set of slides used during the workshop, including comprehensive speaker notes and additional reading material, a detailed concept for conducting the workshop, and a README file.
Learning Resource Type
Workshop
File Format
CSV, PDF, PPTX, TXT, XLSX
Languages
English
Media Type
Presentation
Publication Date
2026-02-12
License
CC0
Size
45 MB
Authors
Keywords
#chemistry#dmp#dmp4nfdi#data management plan#nfdi4chem#oer#open educational resource#rdm#rdmo#research data management#workshop material
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Forschungsdaten-Escape-Game für Studierende im Rahmen der Love Data Week
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Forschungsdaten-Escape-Game für Studierende im Rahmen der Love Data WeekDie Veröffentlichung umfasst alle Materialien für ein selbst entwickeltes Escape-Game zum Forschungsdatenmanagement (FDM) von Mitarbeitenden der Universitäts- und Landesbibliothek Münster, das im Rahmen der Love Data Week konzipiert wurde. Studierende müssen innerhalb von ca. 30–45 Minuten durch das Lösen von Rätseln und Aufgaben die Tücken des Datings meistern, um das Herz der*des Auserwählten zu gewinnen. Das Spiel dient als spielerisches Lernformat zur Förderung von Teamarbeit, Problemlösungsfähigkeiten und kreativem Denken. Studierende befassen sich durch das Spiel niedrigschwellig mit Aspekten des FDMs (Lebenszyklus, Bedeutung von Metadaten, Dateibenennungen und -formate, sensible Daten, Laborbuch sowie der 3-2-1-Backup-Regelung). Mit der Publikation werden die Anleitung zum Spiel, die Materialliste sowie die Aufgabenzettel zur Nachnutzung angeboten.
Learning Resource Type
Educational Game
File Format
ZIP
Languages
German
Media Type
Text
Publication Date
2026-07-24
License
CCBY
Size
89 MB
Authors
Keywords
#FDM#Escape Game#Studierende#Veranstaltung#Gamification#Forschungsdatenmanagement#Hochschulbildung#spielbasiertes Lernen
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Weihnachtliches Forschungsdaten-Escape-Game für Studierende
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Weihnachtliches Forschungsdaten-Escape-Game für StudierendeDie Veröffentlichung umfasst alle Materialien für ein selbst entwickeltes Escape-Game zum Forschungsdatenmanagement (FDM) von Mitarbeitenden der Universitäts- und Landesbibliothek Münster mit weihnachtlichem Thema. Studierende werden herausgefordert, innerhalb von 30 Minuten Rätsel und Aufgaben zu lösen, um rechtzeitig vor den Feiertagen aus der Einrichtung zu entkommen. Das Spiel dient als spielerisches Lernformat zur Förderung von Teamarbeit, Problemlösungsfähigkeiten und kreativem Denken. Studierende befassen sich durch das Spiel niedrigschwellig mit Aspekten des FDMs (Lebenszyklus, Bedeutung von Metadaten, Dateibenennungen und -formate sowie der 3-2-1-Back-up-Regelung). Mit der Publikation werden die Anleitung zum Spiel, die Materialliste sowie die Aufgabenzettel zur Nachnutzung angeboten.
Learning Resource Type
Educational Game
File Format
ZIP
Languages
German
Media Type
Text
Publication Date
2026-07-24
License
CCBY
Size
15.1 MB
Authors
Keywords
#FDM#Escape Game#Studierende#Veranstaltung#Gamification#Forschungsdatenmanagement#Hochschulbildung#spielbasiertes Lernen
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NFDI4Biodiversity Self-Paced Online Course - Research Data Management for Biodiversity Data
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NFDI4Biodiversity Self-Paced Online Course - Research Data Management for Biodiversity DataIn NFDI4Biodiversity, we developed a self-paced online course on research data management for both students and researchers specializing in biodiversity and environmental sciences. This course is based on the online course HeFDI Data OER: Forschungsdatenmanagement - eine Online-Einführung (https://doi.org/10.5281/zenodo.6373596) of the Hessian Research Data Infrastructures (HeFDI, https://www.uni-marburg.de/en/hefdi). Developed in collaboration between several partners within NFDI4Biodiversity, this course offers essential domain-specific knowledge in research data management. We offer this course in different formats to facilitate accessibility and re-usability: * LiaScript course (Markdown, available on GitHub): https://github.com/NFDI4Biodiversity/nfdi4biodiversity-sle * OER section of Marburg University Ilias (LiaScript import, SCORM1.2, certificate for successful completion): https://ilias.uni-marburg.de/goto.php/crs/3219917 * Document (text and figure, no questions): https://doi.org/10.5281/zenodo.10377867 Here, we additionally offer import files to use this course in your local Ilias or Moodle. If you are using a different learning management system (LMS) or if you want to adapt the course, you are free to clone the corresponding GitHub repository, adapt the course, and export it in a format suitable to your needs. Please note the following characteristics (different from GitHub sourced online version): * SCORM1.2 format * mastery score 100 – learners need to achieve 100% correct answers in all questions. You can change this value in the Ilias/Moodle course settings after importing the course, or during the LiaScript export. * Unlimited trials to answer questions correctly, but no solution button This course is subject to regular maintenance and updates. You can find the most up-to-date version on GitHub: https://github.com/NFDI4Biodiversity/nfdi4biodiversity-sle For inquiries or additional information, please feel free to reach out to us: NFDI4Biodiversity Helpdesk (helpdesk@nfdi4biodiversity.org). * Prerequisites - No previous knowledge is required for this course. The chapters build on each other thematically but can also be worked through individually. If information from other chapters is needed, they are linked. * Target audience - Graduate students, PhD students, and researchers in the field of biology and environmental sciences, especially those working with biodiversity data, who are looking for a first introduction to research data management. * Learning objectives - After completing this self-paced course, you will be able to understand the content and purpose of research data management and apply it in the field of biology. The detailed learning objectives are given at the beginning of each chapter. * Content - If you prefer to read, you can access the content of this unit through the text only. However, the embedded videos offer further access to the topic, so those who work well with video explanations will find the content presented here in a different way. * Duration - If you concentrate on reading all the texts, you can expect to spend about 4-5 hours on the course. If you also watch the videos or follow the links, you will need more time. And remember to take breaks. * Licensing – This course is licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). Please note that third-party content remains under its original licenses or copyright. Privacy: * Embedded videos – Videos from YouTube are embedded in this course. When the videos are called up, Google/YouTube uses, processes and possibly passes on cookies and other data. Information on data protection and terms of use of the service can be found following the link. The use of the online course requires corresponding consent. * Google Translate - This course uses Google Translate to translate content into different languages. Please note that when you use this function, data is transmitted to Google and processed there. Further information can be found in Google's Privacy Policy. However, translation is not necessary to use this course.
Learning Resource Type
Course
File Format
HTML, JSON, PNG, ZIP
Languages
English
Media Type
Image, Multipart, Text, Video
Publication Date
2025-11-11
License
CCBYSA
Size
20 MB
Authors
Keywords
No keywords
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