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DTSTAMP:20260616T061127Z
UID:68453529-5db1-48d8-9bfe-5e11ab7c2b0f
DTSTART:20230629T090000Z
DTEND:20230630T170000Z
DESCRIPTION:We are sorry but this course is oversubscribed\, with a long wa
 iting list. \n\nYou are welcome to register to the SIB courses mailing lis
 t to be informed of all future courses\, as well as all important deadline
 s using 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 u
 rged the scientific community to consider developing efficient FAIR Resear
 ch Data Management Strategies with an “Open Data” philosophy and imple
 menting robust Data Management Plans (DMP) for research projects. This nee
 d is also reflected in the requirements of funding agencies\, amongst whic
 h the Swiss National Science Foundation (SNFS)\, Horizon Europe\, and publ
 ishing platforms. Making research data FAIR - Findable\, Accessible\, Inte
 roperable and Reusable **1** - provides many benefits\, including to incre
 ase the visibility and to improve the reproducibility\, reuse\, and the co
 nfidence towards the data **2-4**\, as well as to enable new research ques
 tions and collaborations. \n\n  \n\nThis course\, given by researchers and
  professionals involved in Research Data Management and in Data Management
  Plan preparation at ELIXIR-CH\, SIB/Vital-IT and FBM-UNIL/CHUV\, will pro
 vide you with the knowledge and the tools **5** to generate robust data an
 d excellent quality studies that follow the FAIR principles. This course w
 ill also provide you with effective support to build high quality DMP comp
 lying with the guidelines established by funding agencies. \n\n*Sources of
  information*\n\n**1** Wilkinson\, M.\, Dumontier\, M.\, Aalbersberg\, I. 
 et al. The FAIR Guiding Principles for scientific data management and stew
 ardship. Sci Data 3\, 160018 (2016). DOI: [https://doi.org/10.1038/sdata.2
 016.18](https://doi.org/10.1038/sdata.2016.18)\n\n**2** Baker\, M. 1\,500 
 scientists 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 scienc
 e improving the standard for basic and preclinical research.” Circulatio
 n research. 2015\; 116.1: 116-126. DOI: [10.1161/CIRCRESAHA.114.303819](ht
 tps://doi.org/10.1161/circresaha.114.303819) \n\n**4**  Asher Mullard\, 
 “Preclinical cancer research suffers another reproducibility blow” Nat
 ure Reviews Drug Discovery 21\, 89 (2022). DOI: [https://doi.org/10.1038/d
 41573-022-00012-6](https://doi.org/10.1038/d41573-022-00012-6)\n\n**5** RD
 Mkit: RDMkit 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\, participa
 nts will be introduced to the notion of research reproducibility and to th
 e need for a Data Management Plan (DMP) preparation\, an evolving document
  reporting how the research data will be managed during and after a resear
 ch project. You will learn best practices in FAIR Research Data Management
  (RDM) with a focus on data collection and data documentation. \nDuring th
 e exercises\, participants will directly apply what they have learned. \n\
 n \n\nIn the afternoon\, you will learn additional steps of the RDM cycle 
 concerning ethics\, legal\, security issues\, data preservation and data s
 haring\, as well as an overview of the FAIR principles. During the exercis
 es 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 da
 y\, participants will learn how to fill a DMP corresponding to their own r
 esearch using the “Data Stewardship Wizard” tool. Participants will al
 so be able to present and discuss their draft DMPs with the group. \n\n# 
 Audience\nThe course is addressed to post-graduate students and researcher
 s who plan to apply for SNFS funds and want to be trained on how to effici
 ently complete the Data Management Plan form. At the same time\, this cour
 se aims at educating the participants on FAIR Data Management principles i
 n general. \n\n# Learning objectives\nAt the end of the course you will be
  able to:\n* Understand the requirements of a Data Management Plan (DMP) \
 n* Manage the main steps of your research rata using good practices and gu
 idelines (RDM) \n* Understand the FAIR guiding principles and Open Data fo
 undations \n* Use the [DSW](https://ds-wizard.org/) tool to complete your 
 own DMP \n\n# Prerequisites\n##### ***Knowledge / competencies***\nTo be i
 nvolved in Life Sciences research.\n\n##### ***Technical***\nYou will need
  a laptop with a web browser installed. \n\n\n# Trainers\n* Cécile Lebran
 d - Head of Open Science service at FBM UNIL/CHUV\; Data Steward at UN
 IRIS \n\n* Vassilios Ioannidis - Lead Computational Biologist at SIB/Vital
 -IT\; Data Steward – FAIR Specialist at UNIRIS \n\n* Grégoire Rossier -
  Training Manager &amp\; Project Manager at SIB/Vital-IT &amp\; SIB/Traini
 ng\n\n# Application\n\n\n\n\nThis course is free of charges. It is partial
 ly sponsored by [ELIXIR-CONVERGE](https://elixir-europe.org/about-us/how-f
 unded/eu-projects/converge).\nWhile participants are registered on a first
  come\, first served basis\, exceptions may be made to ensure diversity an
 d equity\, which may increase the time before your registration is confirm
 ed.\n\nDeadline for cancellation is set to **15/06/2023**.\n\nYou will be 
 informed 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 Lausann
 e (Metro 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 in
 formation will be provided to the participants before the course.\n\n#  Ad
 ditional information\nCoordination: Valeria Di Cola\, SIB Training Group\n
 \nYou are welcome to register to the SIB courses mailing list to be inform
 ed of all future courses and workshops\, as well as all important deadline
 s using the form [here](https://lists.sib.swiss/mailman/listinfo/courses).
 \n\nPlease note that participation in SIB courses is subject to our [gener
 al conditions](https://www.sib.swiss/training/terms-and-conditions).\n\nSI
 B abides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/
 code-of-conduct). Participants of SIB courses are also required to abide b
 y the same code.\n\nFor more information\, please contact [training@sib.sw
 iss](mailto://training@sib.swiss).\n\n\n**This SIB course is organized in 
 collaboration with**\n\n\n\n\n\n\n\n\n\n\n\n\n                            
            \n**         **\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nELIXIR-
 CONVERGE is funded by the European Commission within the Research Infrastr
 uctures programme of Horizon 2020
SUMMARY:Introduction to FAIR Research Data Management &amp\; Data Managemen
 t Plan
URL;VALUE=URI:https://www.sib.swiss/training/course/20230629_FAIRD
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