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DTSTAMP:20260824T230040Z
UID:2b45bd09-6dd4-42bd-af7f-d522272cb8d8
DTSTART:20251021T080000Z
DTEND:20251023T110000Z
DESCRIPTION:Educators:\nde.NBI: Daniel Wibberg (CAU)\nFAIRagro: Sophie Boß
 e (ZB MED)\, Elena Rey Mazón (IPK)\, Wahib Sahwan (ZALF) \nDataPLANT: Dom
 inik Brilhaus (CEPLAS\, HHU)\n\nDate:\nOctober 21-23\, 2025\, 10:00-13:00\
 n\nLocation:\nOnline\n\nContents:\nHave you ever wondered what research da
 ta management is all about? Why is it so important? What is special about 
 managing data from agrosystem research? Then de.NBI &amp\; ELIXIR-DE\, FAI
 Ragro and DataPLANT have created the perfect interactive training for you 
 - a mix of presentations and interactive\, hands-on exercises!\nMore and m
 ore funders require research data to be published\, archived\, and accompa
 nied by Data Management Plans (DMPs) to distribute their grants. We will s
 how you how Annotate Research Contexts (ARCs) and DMP-Tools can facilitate
  this\, in addition to boosting the efficiency of your day-to-day work dur
 ing the research project.\nIn just a few hours\, you will first learn the 
 basic principles of Research Data Management (RDM\, October 21st)\, afterw
 ards you will have the opportunity to learn how to translate research proj
 ect proposals into appropriate DMPs (October 22nd) - what does a DMP conta
 in? Why is a DMP useful for you and your project - beyond fulfilling the f
 unders requirements? How can you create a DMP and what Tools can help? Las
 t but not least you will learn the fundamentals of ARCs (October 23rd)\, h
 ow these structured data containers can help you organize your research da
 ta in a standardized way and how to design an ARC for your specific resear
 ch needs. \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 prod
 uced in agrosystem research projects. Following a brief introduction to th
 e research data lifecycle and the FAIR data principles\, we will:\n- explo
 re the concept of a DMP and ARCs through interactive hands-on sessions. \
 n- focus on agricultural data\, such as soil data\, geospatial data\, gene
 tic data\, phenotypic data\, sensor data and general field data. \n- exam
 ine components\, language\, software and examples of DMPs. \n- assess pot
 ential problems and solutions and self-evaluate a draft DMP for our own pr
 ojects in alignment with the FAIR principles.\n\nThis workshop is for anyo
 ne working with agrosystem science data\, interested in active learning\, 
 and gaining skills in both research data management and writing DMPs.\n\nL
 earning goals:\n- Know the research data life cycle.\n- Know the FAIR prin
 ciples and understand their importance.\n- Know the expectations for a DMP
 .\n- Be able to sketch a DMP.\n- Know the concept of the Annotated Researc
 h Context (ARC) – DataPLANT’s implementation of a Fair Digital Object 
 (FDO).\n- Know how to use the tool ARCitect to create ARCs ( https://arc-
 rdm.org) for your datasets\, annotate them with metadata and share them vi
 a the DataHUB ( https://git.nfdi4plants.org).\n\nPrerequisites:\n- A comp
 uter with internet connection\, a webcam\, a microphone and a browser.\n- 
 Before the workshop\, users are kindly asked to:\n \n1. Sign up for a Dat
 aPLANT account:  https://register.nfdi4plants.org/\n2. Install ARCitect 
  https://nfdi4plants.org/nfdi4plants.knowledgebase/arcitect/\n \nWe also
  offer an optional tech-check on one of the preceding days\, if needed.\n
  \nKeywords:\nResearch Data Management\, Data Collection\, ARCs\, FAIR\, 
 Data Management Plan\, RDMO\, Agricultural Research Data\n\nTools:\nRDMkit
 \, DSW\, RDMO\, ARCs
SUMMARY:Maximizing the Potential of Agricultural Research Data: A Guide to 
 Crafting a DMP and Using ARCs
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1915-maximizing-th
 e-potential-of-agricultural-research-data-a-guide-to-crafting-a-dmp-and-us
 ing-arcs
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