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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260408T004603Z
UID:b0ac664b-8182-49e6-9b65-93285e66a049
DTSTART:20240215T080000Z
DTEND:20240215T120000Z
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:\nFebruary 15th\, 2024  9.00 a.m. to 1.00 p.m.\n\nLocation:\nOn
 line\n\nContents:\nHave you ever wondered what research data management is
  all about? Why is it so important? What is special about managing data fr
 om agrosystem research? Then de.NBI and FAIRagro have created the perfect 
 interactive training for you - a mix of presentations and interactive exer
 cises!\n\nMore and more funders require the establishment of research Data
  Management Plans (DMPs) in order to distribute their grants. We will show
  you how a DMP can also help to facilitate day-to-day work during the rese
 arch project. In just four hours\, you will have the opportunity to learn 
 how to translate research project proposals into appropriate DMPs. Data ma
 nagement experts will guide you through the basics of research data manage
 ment\, the do's and don'ts\, and how to improve the management of data pro
 duced in agrosystem research projects. Following a brief introduction to t
 he research data lifecycle and the FAIR data principles\, we will \n\nexpl
 ore the concept of a data management plan (DMP) through interactive hands-
 on sessions. \nfocus on agricultural data\, such as soil data\, geospatial
  data\, genetic data\, phenotypic data\, sensor data and general field dat
 a. \nexamine components\, language\, software and examples of DMPs. \nasse
 ss potential problems and solutions and self-evaluate a draft DMP for our 
 own projects in alignment with the FAIR principles\nThis workshop is for a
 nyone working with agro-system science data\, interested in active learnin
 g\, 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\nPrerequisites:\n- A computer with int
 ernet connection\, a webcam\, a microphone and a browser.\n- No additional
  prerequisites required.\n\nKeywords:\nResearch data management\, planning
 \, Data Management Plan\, FAIR\, agricultural data\n\nTools:\nRDMkit\, DSW
 \, RDMO
LOCATION:Online
SUMMARY:Maximizing the Potential of Agricultural Research Data: A Guide to 
 Crafting an Effective Data Management Plan
URL;VALUE=URI:https://www.denbi.de/training/1676-maximizing-the-potential-o
 f-agricultural-research-data-a-guide-to-crafting-an-effective-data-managem
 ent-plan
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