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Research Data Management for Chemists: A Collection of Practical Checklists
Research Data Management for Chemists: A Collection of Practical Checklists
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Description

With 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

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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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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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FAIR Chemistry Data: A Research Data Management Workshop Concept
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FAIR Chemistry Data: A Research Data Management Workshop ConceptThis open educational resource (OER) is based on the workshop 'FAIR Research Data Management: Basics for Chemists', which has been delivered over 40 times to more than 800 participants within the NFDI4Chem framework since 2022. NFDI4Chem is the chemistry consortium of the National Research Data Infrastructure (NFDI) in Germany. The workshop introduces the fundamentals of research data management (RDM) to researchers working in chemistry and related disciplines, and therefore includes many examples specific to chemistry. We demonstrate how good RDM can be applied in practice, highlighting chemistry-specific features and introducing relevant tools and services. The target group is primarily early career researchers, such as doctoral candidates and postdoctoral researchers. Our workshop concept is intended for reuse, adaptation and further development by instructors, trainers, and educators from different institutions and (chemistry-related) disciplines. The workshop concept package includes a modularised slide deck in both NFDI4Chem and plain designs, including comprehensive speaker notes and additional reading material, an introduction file, a detailed training concept file, a file describing the exercises and several example files. Together, these provide conceptual input, RDM knowledge and interactive elements that can be combined, modified or expanded according to specific learning objectives, target groups and the time available. Based on four modules (M01-M04), the following topics are covered: M01: Basics of research data management M02: Documentation M03: Electronic laboratory notebooks M04: Data preservation
Learning Resource Type
Workshop
File Format
DOCX, MD, PDF, TXT, XLSX, ZIP
Languages
English
Media Type
Presentation, Text
Publication Date
2026-03-25
License
CC0
Size
250 MB
Authors
Keywords
#NFDI4Chem#OER#RDM#open educational resource#research data management#workshop#training#research data#FAIR
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Forschungsdatenmanagement lernen, anwenden und weitergeben
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Forschungsdatenmanagement lernen, anwenden und weitergebenWelches 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.
Learning Resource Type
Lecture, Slide
File Format
PDF
Languages
German
Media Type
Presentation
Publication Date
2026-07-21
License
CCBY
Size
3.1 MB
Authors
Keywords
#OER#NFDI#FDM#Forschungsdatenmanagement#Training#NFDI4Biodiversity#Biodiversitätsdaten#FDM Training#LiaScript#Open Educational Resource
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Digital and data literacy: challenges and solutions for implementation in chemistry-specific curricular teaching
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Digital and data literacy: challenges and solutions for implementation in chemistry-specific curricular teachingThe record contains the presentation slides of the tandem talk given at the E-Science-Tage 2025 in Heidelberg.
Learning Resource Type
Slide
File Format
PDF
Languages
English
Media Type
Presentation
Publication Date
2025-03-25
License
CCBY
Size
2 MB
Authors
Keywords
#NFDI4Chem#Chemistry#RDM#research data management#data literacy#E-Science-Tage
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SmartClue - The NFDI4Chem Guessing Game
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SmartClue - The NFDI4Chem Guessing GameNFDI4Chem presents its research data management (RDM) guessing game SmartClue, featuring general and chemistry-specific terms. The game encourages researchers to engage with RDM in a fun way. SmartClue is based on our open educational resource (OER) ‘FAIR Chemistry Data: A Research Data Management Workshop Concept’. What is inside the data publication? The data publication includes the SmartClue card game template in .pptx and .pdf file format for reuse. Every slide in the .pptx file (or page in the .pdf file) corresponds to a single side of a card. In the files the front and the back of every single card are in an alternating order. The files are provided in the corporate colour scheme (NFDI4Chem petrol, Hex: #009CBC) and font (IBM Plex Sans semibold or light) of NFDI4Chem. The design is given and can be adjusted in the slide master in the .pptx file. Every playing card includes a number ("M01", "M02", "M03", or "M04") on the back belonging to the four modules of the corresponding OER: M01: Basics of research data management M02: Documentation M03: Electronic laboratory notebooks M04: Data preservation SmartClue contains 62 cards in total (cover card, "How to play?" card, and 60 playing cards) provided in landscape format in the size of standard playing cards (91 x 59 mm), thus fitting into a standard playing card holder (66 x 97 x 25 mm). Some shops might ask for a bleed margin when printing the card game, which is not included in the given files. For more information on the content and reuse of this data publication, have a look at the provided README file. How to play? Shuffle the cards and place them face down between the players. The first player draws a card and tries to explain the term on it without mentioning the term or any parts of it. Once the other players have correctly guessed the term, the next player draws a card. To increase the difficulty, skipping cards is not allowed! If several teams are playing against each other, set a time limit of 10 minutes. After this time, the team with the most guessed cards wins. Have fun!
Learning Resource Type
Educational Game
File Format
PDF, PPTX, TXT
Languages
English
Media Type
Presentation, Text
Publication Date
2026-05-06
License
CC0
Size
1 MB
Authors
Keywords
#NFDI4Chem#RDM#research data management#FAIR#gamification
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