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DTSTART:20240528T000000Z
DTEND:20240529T000000Z
DESCRIPTION:You are welcome to register to the SIB courses mailing list to 
 be informed of all future courses\, as well as all important deadlines usi
 ng the form [here](https://lists.sib.swiss/mailman/listinfo/courses).\n\n\
 n\n\n\n\n# Overview\nThe huge amount of generated research data has urged 
 the scientific community to consider developing efficient FAIR Research Da
 ta Management Strategies with an “Open Data” philosophy and implementi
 ng robust Data Management Plans (DMP) for research projects. This need is 
 also reflected in the requirements of funding agencies\, amongst which the
  Swiss National Science Foundation (SNFS)\, Horizon Europe\, and publishin
 g platforms. Making research data FAIR - Findable\, Accessible\, Interoper
 able and Reusable **1** - provides many benefits\, including to increase t
 he visibility and to improve the reproducibility\, reuse\, and the confide
 nce towards the data **2-4**\, as well as to enable new research questions
  and collaborations. \n\n  \n\nThis course\, given by researchers and prof
 essionals involved in Research Data Management and in Data Management Plan
  preparation at ELIXIR-CH\, SIB/Vital-IT and FBM-UNIL/CHUV\, will provide 
 you with the knowledge and the tools **5** to generate robust data and exc
 ellent quality studies that follow the FAIR principles. This course will a
 lso provide you with effective support to build high quality DMP complying
  with the guidelines established by funding agencies. \n\n*Sources of info
 rmation*\n\n**1** Wilkinson\, M.\, Dumontier\, M.\, Aalbersberg\, I. et al
 . The FAIR Guiding Principles for scientific data management and stewardsh
 ip. Sci Data 3\, 160018 (2016). DOI: [https://doi.org/10.1038/sdata.2016.1
 8](https://doi.org/10.1038/sdata.2016.18)\n\n**2** Baker\, M. 1\,500 scien
 tists lift the lid on reproducibility. Nature 533\, 452–454 (2016). DOI:
  [https://doi.org/10.1038/533452a](https://doi.org/10.1038/533452a)\n\n**3
 ** Begley\, C G\, and Ioannidis\, J. PA. “Reproducibility in science imp
 roving the standard for basic and preclinical research.” Circulation res
 earch. 2015\; 116.1: 116-126. DOI: [10.1161/CIRCRESAHA.114.303819](https:/
 /doi.org/10.1161/circresaha.114.303819) \n\n**4**  Asher Mullard\, “Prec
 linical cancer research suffers another reproducibility blow” Nature Rev
 iews Drug Discovery 21\, 89 (2022). DOI: [https://doi.org/10.1038/d41573-0
 22-00012-6](https://doi.org/10.1038/d41573-022-00012-6)\n\n**5** RDMkit: R
 DMkit The ELIXIR Research Data Management Kit.2022. [https://rdmkit.elixir
 -europe.org/index.html](https://rdmkit.elixir-europe.org/index.html).  \n\
 n# Schedule\n**First day- 09:00-17:00 CET**\n\nAt first\, participants wil
 l be introduced to the notion of research reproducibility and to the need 
 for a Data Management Plan (DMP) preparation\, an evolving document report
 ing how the research data will be managed during and after a research proj
 ect. You will learn best practices in FAIR Research Data Management (RDM) 
 with a focus on data collection and data documentation. \nDuring the exerc
 ises\, participants will directly apply what they have learned. \n\n \n\nI
 n the afternoon\, you will learn additional steps of the RDM cycle concern
 ing ethics\, legal\, security issues\, data preservation and data sharing\
 , as well as an overview of the FAIR principles. During the exercises you 
 will learn how to share your published data on adapted repositories\, such
  as Zenodo. \n\n**Second day- 09:00-17:00 CET**\n\nOn the second day\, par
 ticipants will learn how to fill a DMP corresponding to their own research
  using the “Data Stewardship Wizard” tool. Participants will also be a
 ble to present and discuss their draft DMPs with the group. \n\n# Audienc
 e\nThe course is addressed to post-graduate students and researchers who p
 lan to apply for SNFS funds and want to be trained on how to efficiently c
 omplete the Data Management Plan form. At the same time\, this course aims
  at educating the participants on FAIR Data Management principles in gener
 al. \n\n# Learning objectives\nAt the end of the course you will be able t
 o:\n* Understand the requirements of a Data Management Plan (DMP) \n* Mana
 ge the main steps of your research rata using good practices and guideline
 s (RDM) \n* Understand the FAIR guiding principles and Open Data foundatio
 ns \n* Use the [DSW](https://ds-wizard.org/) tool to complete your own DMP
  \n\n# Prerequisites\n##### ***Knowledge / competencies***\nTo be involved
  in Life Sciences research.\n\n##### ***Technical***\nYou will need a lapt
 op with a web browser installed. \n\n\n# Trainers\n* Cécile Lebrand - Hea
 d of Open Science service at FBM UNIL/CHUV\; Data Steward at UNIRIS \n
 \n* Vassilios Ioannidis - Lead Computational Biologist at SIB/Vital-IT\; D
 ata Steward – FAIR Specialist at UNIRIS \n\n* Grégoire Rossier - Traini
 ng Manager &amp\; Project Manager at SIB/Vital-IT &amp\; SIB/Training\n\n#
  Application\n\n\n\n\n\n\nWhile participants are registered on a first com
 e\, first served basis\, exceptions may be made to ensure diversity and eq
 uity\, which may increase the time before your registration is confirmed.\
 n\nDeadline for cancellation is set to **19/05/2024**.\n\nYou will be info
 rmed by email of your registration confirmation. \n\n # Venue and time\n\n
 \nThis course will ONLY be held in person at the University of Lausanne (M
 etro M1 line\, Sorge station). **No online streaming will be offered.**\n\
 nIt will start at 9:00 and end around 17:00 on each day.\n\nPrecise inform
 ation will be provided to the participants before the course.\n\n#  Additi
 onal information\nCoordination: Grégoire Rossier\, SIB Training Group\n\n
 You are welcome to register to the SIB courses mailing list to be informed
  of all future courses and workshops\, as well as all important deadlines 
 using the form [here](https://lists.sib.swiss/mailman/listinfo/courses).\n
 \nPlease note that participation in SIB courses is subject to our [general
  conditions](https://www.sib.swiss/training/terms-and-conditions).\n\nSIB 
 abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/co
 de-of-conduct). Participants of SIB courses are also required to abide by 
 the same code.\nFor more information\, please contact [training@sib.swiss]
 (mailto://training@sib.swiss).
SUMMARY:Introduction to FAIR Research Data Management &amp\; Data Managemen
 t Plan
URL;VALUE=URI:https://www.sib.swiss/training/course/20240528_FAIRD
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