DALIA

| Anne Sennhenn

#oer #research data management #agricultural research data #data documentation #metadata #open educational resources

| Gabriel Schneider

Keywords

Research Data Management in Agricultural Sciences - Advanced module: Data publication– TrainingsmaterialAs part of the series ‘Tailored Research Data Management Training for Agricultural Scientists’ in cooperation between FAIRagro, the Consortium for the Agrosystems Research Community of the National Research Data Infrastructure (NFDI) and the Research Data Service of the University of Kassel, an in-depth workshop on Data publication was held at 21st of January 2025, which specifically addressed the special features for agricultural scientists. In this first interactive workshop, participants learned why and how publishing their data can benefit them and their future research life. We gave an overview of where agricultural research data can be published, how to find a suitable repository and what legal aspects to consider. For a practical example, we gave a live demonstration of the publication process in the BonaRes repository. This publication is intended to enable the subsequent use of the teaching materials and includes this README file, which also functions as a navigation aid for the individual files. The Teachingscript (in German only), helps with the conception, division of labour and timing of the introductory lecture. This and the presentation slides are available in various formats for easy reuse. Target group of the workshop: Researchers, focus on young scientists Competence level: Basic level, Intermediate level Domain: Agricultural sciences Duration: 2 h Learning resource type: Presentation slides, teaching script Formats: pdf, pptx, odp, xlsx, ods

Learning Resource Type

Course, Lesson Plan, Script, Slide, Workshop

File Format

ODP, PDF, PPTX, XLSX

Languages

English

Media Type

Presentation, Text

Publication Date

2025-06-01

License

Authors

| Sabrina Jordan

#FAIRagro #Open Educational Resources #Research Data Management #Agricultural Sciences #Presentation #Teaching Script #Dat Publication #Bona Res #Repositories #Licenses

| Wahib Sahwan

| Nikolai Svoboda

Keywords

Research Data Management for Agrosystem Sciences - Modular Training Material for ReuseThis is an extensive Open Educational Resource (OER) comprising training materials designed to help you plan, create and conduct training events on Research Data Management (RDM) for agrosystem science researchers. These resources include presentation slides, presenter notes, teaching scripts with learning objectives, worksheets and a recording of an RDM training session, as well as a guide on how to create a training session. All resources are structured and described in accordance with the EduBrick concept, whereby the teaching resources are broken down into the smallest didactic unit, called 'Bricks', which can be used to create targeted learning/teaching units for training events tailored to the respective needs. To enhance reusability, all materials are provided in multiple formats and are openly licensed. We also provide an example of how the Bricks could be used to create a four-hour online training course, including a teaching script, presentation slides, worksheets and a video recording of the training course. Intended Use This publication is designed to: Enable flexible reuse and recombination Support trainers in different institutional contexts Facilitate adaptation to specific target groups Encourage collaborative use without structural modification The modular design ensures that content can be tailored to specific formats, disciplines, and levels of expertise while maintaining didactical coherence. How to Use This publication includes three 7z files, each of which contains a complex folder structure with over 270 individual files. Therefore, we recommend 1) first reviewing the READ ME file, which provides information about the content and structure of the training material. 2) You can also look at the "How to Create a Training" file for detailed instructions on how to create a training using this material. 3) Then, decide which format you prefer (Microsoft Office if you want to use PowerPoint; LibreOffice if you want to use open-source solutions like LibreOffice Impress; or PDF if you want to use this format, but be aware that these don't include presentation notes). 4) Download the respective .7z file and unpack it using 7-Zip (recommended), Zip, or another suitable tool by right-clicking on the file. 5) Make sure the files are sorted by name - regardless of file type (if your system allows that). This makes it easier to navigate the folderstructure Content This publication includes: READ ME file (pdf) “How to create a training” Guide (pdf) Recording of an four hour example training session (mp4) Three Zip folders containing all training materials (presentation slides, teaching scripts, worksheets) in multiple formats: “Bricks_pdf”: all materials in pdf formats (excluding presenters notes) “Bricks_MicrosoftOffice”: presentation slides as pptx, teachingscript as xlsx, worksheets as docx “Bricks_LibreOffice”: presentation slides as odp, teaching script as ods, worksheets as odt We recommend using Microsoft Office or LibreOffice, depending on your system, rather than using PDF files. Target Group The target group of this resource are RDM professionals, data stewards, and teachers in agrosystem science, who want to conduct discipline-specific RDM training for researchers within the agrosystem sciences. Discipline Agrosystem Science Research Language English Acknowledgements Many of the slides are based on templates and prior work by Justine Vandendorp. We gratefully acknowledge her contributions to the development of these materials. We also extend our sincere thanks to Hafssa Zainou and Anna Schlimbach for their valuable assistance in the structuring and formatting of the materials. This work was created as part of the NFDI consortium FAIRagro (www.fairagro.net). We gratefully acknowledge the financial support of the German Research Foundation (DFG) – project number 501899475

Learning Resource Type

Lesson Plan, Script, Slide, Worksheet

File Format

DOCX, MP4, ODP, ODT, PDF, PPTX, XLSX

Languages

English

Media Type

Presentation, Text, Video

Publication Date

2026-04-30

License

Authors

| Wahib Sahwan

#FAIRagro #Open Educational Resources #Research Data Management #EduBricks #Agrosystem Sciences #Training Material

Keywords

Research Data Management in Agricultural Sciences - Advanced module: Data documentation - TrainingmaterialAs part of the series ‘Tailored Research Data Management Training for Agricultural Scientists’ in cooperation between FAIRagro, the Consortium for the Agrosystems Research Community of the National Research Data Infrastructure (NFDI) and the Research Data Service of the University of Kassel, an in-depth workshop on Data documentation was held at 10th of December 2024, which specifically addressed the special features for agricultural scientists. In this in-depth workshop, participants learned why and how properly documenting their data can benefit them and their future research life, as well as others. The key questions were answered: Why Data Documentation? What to Document? Which Method for Data Documentation? Which tools are usable for Documentation? How to increase metadata interoperability? Therefore, we covered methods such as README files, data dictionaries, commented code, metadata and metadata standards, tools such as electronic lab notebooks and electronic field books, and concepts such as persistent identifiers and controlled vocabularies. We also took a closer look at examples of particular interest to agricultural researchers, such as MIAPPE and AGROVOC. This publication is intended to enable the subsequent use of the teaching materials and includes this README file, which also functions as a navigation aid for the individual files. The Teachingscript (in German only), helps with the conception, division of labour and timing of the introductory lecture. This and the presentation slides are available in various formats for easy reuse. Target group of the workshop: Researchers, focus on young scientists Competence level: Basic level, Intermediate level Domain: Agricultural sciences Duration: 2 h Learning resource type: Presentation slides, teaching script Formats: pdf, pptx, odp, xlsx, ods

Learning Resource Type

Course, Lesson Plan, Slide, Workshop

File Format

ODP, PDF, PPTX, XLSX

Languages

English

Media Type

Presentation

Publication Date

2025-06-01

License

Authors

| Sabrina Jordan

| Gabriel Schneider

#FAIRagro #Open Educational Resources #Research Data Management #Metadata #Agricultural Sciences #Presentation #Teaching Script #Data Documentaion #Metadata Standards

Keywords

Trainingsmaterial: Introduction to research data management in agricultural sciencesAs part of the series ‘Tailored Research Data Management Training for Agricultural Scientists’ in cooperation between FAIRagro, the Consortium for the Agrosystems Research Community of the National Research Data Infrastructure (NFDI) and the Research Data Service of the University of Kassel an introductory lecture on the basic principles of research data management was held at 9th of July 2024, which specifically addressed the special features for agricultural scientists. The workshop was specifically aimed at researchers from the Faculty of Ecological Agricultural Sciences at the University of Kassel. In this first introductory lecture, participants learned why and how the conscious management and publication of their data can be beneficial for them and their future research life. Therefore, we first gave an overview of the most important aspects of handling research data. Participants were familiarised with the general concepts of research data management (RDM) and learned which tools and services can help to manage agricultural research data throughout its lifecycle. We gave insights into FAIRagro's work on a data infrastructure that makes agricultural systems research data findable, accessible, interoperable and reusable (FAIR). We also presented tools and services that the University of Kassel provides for its researchers. After this introductory session, participants were invited to vote for up to two topics from the FDM that they would like to learn more about. This publication is intended to enable the subsequent use of the teaching materials and includes this README file, which also functions as a navigation aid for the individual files. The Teachingscript (in German only), helps with the conception, division of labour and timing of the introductory lecture. This and the presentation slides are available in various formats for easy reuse. Target group of the workshop: Researchers, focus on young scientists Competence level: Basic level Domain: Agricultural sciences Duration: 2 h Learning resource type: Presentation slides, teaching script Formats: pdf, pptx, odp, xlsx, ods

Learning Resource Type

Course, Lecture, Lesson Plan, Slide

File Format

ODP, PDF, PPTX, XLSX

Languages

German, English

Media Type

Presentation, Text

Publication Date

2025-06-01

License

Authors

| Sabrina Jordan

#FAIRagro #Open Educational Resources #Research Data Management #Agricultural Sciences #Presentation #Teaching Script

| Katrin Schröder

Keywords

Metadata in agrosystem research practiceThis practical guide to collecting metadata in agricultural research aims to provide an easy and practice-oriented introduction to the world of data documentation. A decision tree guides researchers with simple, practical questions through the topics: 1 Why data should be documented; 2 Which forms and formats are appropriate for data documentation in your own project; 3 Which metadata should be collected for your own research data; 4 How the metadata can be created; 5 Which forms of storage and linking with the research data should be considered; and 6 How the quality of the metadata can be ensured. In addition to the decision tree, this document also contains brief explanations of terms (Appendix I) that should be understood in order to answer the questions in the decision tree meaningfully. In addition, a metadata guide (Appendix II) with many agricultural science examples provides an overview of metadata, metadata schemas, terminologies and various forms of metadata collection and storage. Internal links in the decision tree refer to specific term explanations or further explanations in the metadata guide. The decision tree and the explanation of terms are available in German and English. For a proper reusability, both versions (German and english) are available in different formats (odt, docx, pdf). An interactive version of the decision tree was made by Justus Schneider: https://fairagro.github.io/metadata_decision_tree/index.html

Learning Resource Type

Other resource type, Questionnaire, Text

File Format

DOCX, ODT, PDF

Languages

German, English

Media Type

Text

Publication Date

2025-11-17

License

Authors

| Anne Sennhenn

#OER #Open Educational Resources #Research Data Management #Metadata #Data Documentation #Agricultural Research Data #Decision Tree

| Gabriel Schneider

Keywords

From Field Data to FAIR Data: How to Manage Your Agrosystem Research Data - TrainingmaterialThis publication contains the training material for the four-hour online introductory training course on research data management for agricultural scientists. The following materials are included: Teaching script (xlsx) Presentation slides (pptx) Worksheets (docx) Link collection to share with participants (docx) Announcement text (docx) Recording of the non-interactive parts of a training delivered by FAIRagro Data Stewards (mp4) This training workshop was created using FAIRagros modular training material by Boße et al 2025 (DOI: https://doi.org/10.4126/FRL01-006527953) [Titel anhand dieser DOI in Citavi-Projekt übernehmen] . If you require this training material in open format or PDF, it is also available as part of the modular training material by Boße et al. (2025, DOI: https://doi.org/10.4126/FRL01-006527953). Acknowledgements Many of the slides are based on templates and prior work by Justine Vandendorp. We gratefully acknowledge her contributions to the development of these materials. We also extend our sincere thanks to Hafssa Zainou and Anna Schlimbach for their valuable assistance in the structuring and formatting of the materials. This work was created as part of the NFDI consortium FAIRagro (www.fairagro.net). We gratefully acknowledge the financial support of the German Research Foundation (DFG) – project number 501899475 Discipline Agrosystem Science Research Target Group Targetgroup of the trainingsworkshop are agricultural researcher

Learning Resource Type

Course, Lesson Plan, Slide, Video, Worksheet, Workshop

File Format

DOCX, MP4, PPTX

Languages

English

Media Type

Presentation, Text, Video

Publication Date

2026-05-26

License

Authors

| Wahib Sahwan

#FAIRagro #Open Educational Resources #Research Data Management #Agrosystem Sciences #Training Material

Keywords

Datenschutz auf dem Silbertablett - Don`t panic! Survival Guide on Law and Ethics in Research Episode I - TrainingsmaterialIm Rahmen der Legal Training Series „Don’t panic! Survival guide for Law and Ethics in Research”, organisiert von FAIRagro, NFDI4Biodiversity und NFDI4Earth, wurde vom 08. – 10.04.25 die erste Episode, Datenschutz auf dem Silbertablett, von Lea Singson und Sophie Boße durchgeführt: „Du sammelst Proben auf landwirtschaftlich genutzten Flächen, du nutzt Drohnenaufnahmen, auf denen auch Menschen zu sehen sind, du nimmst im Park Vogelstimmen auf und erwischt dabei ein paar Gespräche oder du möchtest Interviews mit Landwirt*innen oder Anwohnenden führen. Dabei ist eins klar: Wo Menschen sind, ist die Datenschutzgrundverordnung (DSGVO) nicht weit! Doch was will die DSGVO eigentlich und was hat das mit Dir zu tun? Musst Du datenschutzrechtliche Aspekte überhaupt beachten? In dieser Einheit arbeiten wir gemeinsam durch die praktisch relevanten Aspekte des Themas Datenschutz! Wir klären was die DSGVO ist, für welche Art der Daten sie anwendbar ist und was in diesem Fall getan werden muss. Dabei unterstützen wir dich unter anderem dabei zu lernen, informierte Einwilligungen, bzw. Datenschutzerklärungen zu verfassen, die auch verständlich sind. Wir zeigen, wie du datenschutzrechtlich relevante Datenverarbeitungen beurteilen und begründen kannst und diskutieren, wie Forschungsdaten gerettet werden können, wenn die eingeholte Einwilligung widerrufen wird.“ An dieser Stelle werden sowohl die Aufzeichnungen der nicht interaktiven Teile der Online-Workshops als auch alle verwendeten Trainingsmaterialien zur Verfügung gestellt. Zielgruppe dieser Veröffentlichung sind sowohl Personen, die eigenständig Inhalte zum Thema Datenschutz erlernen möchten, als auch Trainer:innen, die Konzept und Materialien der Workshops vollständig oder teilweise nachnutzen möchten. Das Lehrdrehbuch hilft bei der Konzeption von Veranstaltung und gibt einen Überblick über Themen, Lernziele und Zeitplanung des Workshops. Darüber hinaus sind Präsentationsfolien inklusive Vortragsnotizen, Arbeitsblätter und zentrale Linksdokumente, die mit den Teilnehmenden in Online-Workshops geteilt werden können verfügbar, die zur Nachnutzung angepasst werden können und sollten. Alle Materialien sind für optimale Nachnutzbarkeit in verschiedenen Formaten verfügbar. Eine Übersicht und Navigationshilfe der vorhandenen Ressourcen ist in der README Datei zu finden. Zielgruppe der Publikation: Lehrende und Lernende Zielgruppe des Workshops: Forschend Kompetenz Level: Grundstufe, Mittelstufe Domäne: Agrarwissenschaften, Erdsystemwissenschaften, Umweltwissenschaften, Biodiversitätsforschung Dauer: 3 Workshops á 2h Lernressourcen-Typ: Video, Präsentationsfolien, Übungsmaterialien, Lehrdrehbuch Formate: pdf, pptx, odp, xlsx, ods, docx, odt, mp4 Wir würden uns freuen, wenn Sie uns Ihr Feedback zu unserem Schulungsmaterial geben. Bitte senden Sie eine E-Mail an training@fairagro.net. Wir danken Ihnen! Series information Beschreibung der Legal Training Series: "Don't panic! Survival Guide for Law and Ethics in Research." Forschende der Agrar- und Umweltforschung aufgepasst! Stellt euch folgendes vor: Ihr habt einen Projektentwurf in langwierigen Verfahren angefertigt, einen Versuch skizziert, Proben genommen, Messungen gemacht, Interviews geführt und kleinteilig aufgezeichnet und verarbeitet. Endlich kann eure Veröffentlichung und die zugehörigen Daten publiziert werden! Dann der Supergau: die Ethik-Kommission lehnt den Versuch ab, der Datenschutzbeauftragte erklärt die Datenerhebung für widerrechtlich und die Urheberin einer verwendeten Publikation beschwert sich, weil sie meint, nicht richtig zitiert worden zu sein. Was nun? Und wie könnt ihr schon vorher verhindern, dass so etwas passiert? Schafft euch eine Wissensbasis für die zahlreichen rechtlichen und ethischen Risikoentscheidungen, die ihr in eurem Alltag als Forschende treffen müsst. Genau dabei helfen wir euch mit unserer neuen Workshop-Series “Don’t panic! A Survival Guide for Law and Ethics in Research.”! Freut euch auf inspirierende Workshops fernab von stocksteifem Paragrafen-Runterleiern. Mit praxisnahen Fallbeispielen und interaktiven Übungen begleiten wir euch durch rechtliche und ethische Fragestellungen rund um die Themen Datenschutz, Urheberrecht und Lizenzierungen, Nagoya-Protokoll, künstliche Intelligenz und mehr. Werdet dabei selbst aktiv und lernt die Techniken, mit denen auch Jurist*innen an die Beurteilung eines Rechtsproblems herangehen! Die Online Workshopreihe wird in enger Zusammenarbeit der Konsortien FAIRagro, NFDI4Earth und NFDI4Biodiversity organisiert und richtet sich an alle, die mit Agrar- und Umweltdaten arbeiten. Der Großteil der Workshops wird in deutscher Sprache stattfinden, ausgewählte Veranstaltungen mit internationalem Bezug, wie zum Beispiel zum Nagoya-Protokoll, finden jedoch in englischer Sprache statt. Habt Ihr Lust bekommen? Dann schaut in unseren Veranstaltungskalender und meldet euch an! https://fairagro.net/legal-workshop-series/

Learning Resource Type

Course, Lesson Plan, Slide, Text, Video, Worksheet, Workshop

File Format

DOCX, MP4, ODP, ODT, PDF, PPTX, XLSX

Languages

German

Media Type

Presentation, Text, Video

Publication Date

2025-06-02

License

Authors

#Forschungsdatenmanagement #Agrarwissenschaften #Umweltwissenschaften #Erdsystemforschung #Datenschutz #DSGVO #Open Educational Resources

Keywords

Die Lizenz zum Forschen: Wann gilt das Urheberrecht und was hat die Lizenz damit zu tun? - Don`t panic! Survival Guide on Law and Ethics in Research Episode III - TrainingmaterialIm Rahmen der Legal Training Series „Don’t panic! Survival guide for Law and Ethics in Research” wurde vom 24. – 26.03.26 die Episode “Die Lizenz zum Forschen - Wann gilt das Urheberrecht und was hat die Lizenz damit zu tun?” von Lea Singson und Sophie Boße durchgeführt. An den drei aufeinanderfolgenden Tagen wurden jeweils zweistündige, aufeinander aufbauende Workshops abgehalten. An dieser Stelle werden die Aufzeichnungen der nicht interaktiven Teile der Online-Workshops sowie alle verwendeten Trainingsmaterialien zur Verfügung gestellt. Zielgruppe dieser Veröffentlichung sind sowohl Personen, die eigenständig Inhalte zum Thema Datenrechte erlernen möchten, als auch Trainer:innen, die Konzept und Materialien der Workshops vollständig oder teilweise nachnutzen möchten. Das Lehrdrehbuch hilft bei der Konzeption von Veranstaltungen und gibt einen Überblick über Themen, Lernziele und Zeitplanung des Workshops. Darüber hinaus sind Präsentationsfolien inklusive Vortragsnotizen und Arbeitsblätter verfügbar, die zur Nachnutzung angepasst werden können und sollten. Alle Materialien sind für optimale Nachnutzbarkeit in verschiedenen Formaten verfügbar. Zielgruppe der Publikation: Lehrende und Lernende Zielgruppe des Workshops: Forschende Kompetenz Level: Grundstufe, Mittelstufe Domäne: Agrarwissenschaften, Erdsystemwissenschaften, Umweltwissenschaften, Biodiversitätsforschung Dauer: 3 Workshops á 2h Lernressourcen-Typ: Video, Präsentationsfolien, Übungsmaterialien, Lehrdrehbuch Workshopbeschreibung: Von Messwerten im Feld über komplexe Modellierungen bis hin zur Textpublikation – Forschungsdaten in der Agrosystem-, Erdwissenschafts- und Umweltforschung sind divers und oft das Herzstück eines Projekts. Doch wer hat hieran eigentlich Rechte und wie darf ich sie teilen und nachnutzen? Taucht in unserem dreitägigen Workshop ein in die Welt von Urheberrecht, Lizenzen und Gemeinfreiheit. Erhaltet eine verständliche und praxisnahe Erklärung, wann Forschungsdaten urheberrechtlich geschützt sind und welche Lizenzsysteme – von Creative Commons bis zu speziellen Softwarelizenzen – in der Forschung sinnvoll eingesetzt werden können. Entdeckt über das Urheberrecht hinaus eine Verbündete in der Guten Wissenschaftlichen Praxis. Übt anhand realer Beispiele, Lizenztexte zu verstehen, passende Lizenzen und public domain marks zu vergeben, um rechtliche Fallstricke zu vermeiden. Mit einer Mischung aus Impulsen, Diskussionen und praktischen Übungen vermittelt der Workshop das nötige Rüstzeug, um Daten rechtlich fundiert, verantwortungsvoll und zugleich offen zu nutzen und zu teilen.

Learning Resource Type

Course, Lesson Plan, Script, Slide, Video, Worksheet, Workshop

File Format

DOCX, HTML, MD, MP4, ODP, ODT, PDF, PPTX, XLSX

Languages

German

Media Type

Presentation, Text, Video

Publication Date

2026-08-10

License

Authors

#Forschungsdatenmanagement #Datenrechte #FAIRagro #Don't panic! Survival Guide on Law and Ethics in Research #Lizenzen #Urheberrecht #Arbeitsrecht #Agrarwissenschaften #Erdsystemwissenschaften #Umweltwissenschaften

Keywords

#Ag Data Commons #Data Curation #Machine-Readability #Reformatting #Tabular Data #USDA #Webinar

Making Data Machine-Readable WebinarThis webinar provides a basic overview of machine-readable data. We cover what machine-readable data is, why we prefer machine-readable data over other digital formats where possible, the characteristics of machine-readable data and how to convert tabular data to a machine-readable format.

Learning Resource Type

Lecture

File Format

Unknown

Languages

English

Media Type

Video

Publication Date

2019-03-28

License

Proprietary

Authors

Erin Antognoli

| Erin Antognoli

Keywords

#Data Security #Informed Consent #Personal identifiable Information #Privacy Protection #Research Ethics

Guidelines for Managing Personally Identifiable Information in the Research Project Data LifecycleThese Guidelines are intended to assist agricultural researchers handle privacy and Personally Identifiable Information in the research project data lifecycle.

Learning Resource Type

Web page

File Format

Unknown

Languages

English

Media Type

Text

Publication Date

1905-07-11

License

Authors

Rodrigo Sara | Rodrigo Sara

Keywords

#DMP #Data Management #Data Publication #FAIR #Git #R #Reproducibility

#shareEGU20: Handling your data efficiently from planning to reuse–tips & tools to save time & nerves- webinarThis online Short Course will introduce you to useful tools and best practices that will make your work with research data much easier, more efficient, and enjoyable. It introduces you to Data Management Plans, reproducible data manipulation in R, Version control with git and github, working with clusters and large climate data, and publishing data. This Short Course is relevant to all geoscience fields and the tools presented can be widely applied through all kinds of data sets.

Learning Resource Type

Lecture

File Format

Unknown

Languages

English

Media Type

Video

Publication Date

2020-05-07

License

Authors

Keywords