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DTSTAMP:20260408T004538Z
UID:aa09cb21-d715-43c8-8b40-2854ae11d7d5
DTSTART:20241008T080000Z
DTEND:20241010T100000Z
DESCRIPTION:Educators:\nde.NBI: Helena Schnitzer\, Daniel Wibberg (CAU)\nFA
 IRagro: Sophie Boße (ZB MED)\, Elena Rey Mazón (IPK)\, Wahib Sahwan (ZAL
 F)\n\nDate:\nOctober 8-10th\, 2024\, 10:00-12:00\n\nLocation:\nOnline\n\nC
 ontents:\nHave you ever wondered what research data management is all abou
 t? Why is it so important? What is special about managing data from agrosy
 stem research? Then de.NBI and FAIRagro have created the perfect interacti
 ve training for you - a mix of presentations and interactive exercises!\n\
 nMore and more funders require research data to be published\, archived\, 
 and accompanied by Data Management Plans (DMPs) to distribute their grants
 . We will show you how Electronic Lab Notebooks (ELNs) and DMP-Tools can f
 acilitate this\, in addition to boosting the efficiency of your day-to-day
  work during the research project.\n\nIn just six hours\, you will first l
 earn the basic principles of Research Data Management (RDM\, October 8th)\
 , before you will have the opportunity to learn how to translate research 
 project proposals into appropriate DMPs (October 9th) - what does a DMP co
 ntain? Why is a DMP useful for you and your project - beyond fulfilling th
 e funders requirements? How can you create a DMP and what Tools can help? 
 Last but not least you will learn the fundamentals of ELNs (October 10th)\
 , their advantages over paper notebooks\, and how to effectively set up an
 d customize your ELN for your specific research needs. \n\nData management
  experts will guide you through the basics of RDM\, the do's and don'ts\, 
 and how to improve the management of data produced in agrosystem research 
 projects. Following a brief introduction to the research data lifecycle an
 d the FAIR data principles\, we will\n\nexplore the concept of a DMP and E
 LNs through interactive hands-on sessions. \nfocus on agricultural data\, 
 such as soil data\, geospatial data\, genetic data\, phenotypic data\, sen
 sor data and general field data. \nexamine components\, language\, softwar
 e and examples of DMPs. \nassess potential problems and solutions and self
 -evaluate a draft DMP for our own projects in alignment with the FAIR prin
 ciples\ndescribe best practices for data entry\, management\, and security
  within an ELN environment.\nshow collaborative features of ELNs and how t
 o streamline communication within your team.\ntalk about compliance and re
 gulatory considerations when using ELNs in research.\nThis workshop is for
  anyone working with agrosystem science data\, interested in active learni
 ng\, and gaining skills in both research data management and writing DMPs.
 \n\nLearning goals:\n- Know the research data life cycle.\n- Know the FAIR
  principles and understand their importance.\n- Know the expectations for 
 a DMP.\n- Be able to sketch a DMP.\n- Know the uses of ELNs.\n- Know the a
 dvantages of ELNs\n\nPrerequisites:\n- A computer with internet connection
 \, a webcam\, a microphone and a browser.\n- No additional prerequisites r
 equired.\n\nKeywords:\nResearch Data Management\, collect\, Electronic Lab
  Notebook\, FAIR\, Data Management Plan\, RDMO\, agricultural research dat
 a\n\nTools:\nRDMkit\, DSW\, RDMO\, ELNs
SUMMARY:Maximizing the Potential of Agricultural Research Data: A Guide to 
 Crafting a DMP and Using ELNs
URL;VALUE=URI:https://www.denbi.de/training-courses-2024/1772-maximizing-th
 e-potential-of-agricultural-research-data-a-guide-to-crafting-a-dmp-and-us
 ing-elns
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