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DESCRIPTION:# Overview\nThe huge amount of generated research data has urge
 d the scientific community to consider developing efficient Research Data 
 Management Strategies with an “Open Research Data” philosophy and impl
 ementing robust Data Management Plans (DMP) for research projects. Making 
 research data FAIR - Findable\, Accessible\, Interoperable and Reusable 1 
 - provides many benefits\, including to increase the visibility and to imp
 rove the reproducibility\, reuse\, and the confidence towards the data 2-4
 \, as well as to enable new research questions and collaborations. \n\nThi
 s two-day workshop will provide you with the means to make your data FAIR 
 through theoretical concepts and hands-on sessions. **Please note that the
  module 4 will be optional\, as it will focus specifically on sensitive da
 ta.**\n\nIt will be given by researchers and professionals involved in Res
 earch Data Management at ELIXIR Switzerland\, SIB/Vital-IT and FBM-UNIL/CH
 UV. \n\n1 Wilkinson\, M.\, Dumontier\, M.\, Aalbersberg\, I. et al. The FA
 IR Guiding Principles for scientific data management and stewardship. Sci 
 Data 3\, 160018 (2016). DOI: https://doi.org/10.1038/sdata.2016.18\n\n2 Ba
 ker\, M. 1\,500 scientists lift the lid on reproducibility. Nature 533\, 4
 52–454 (2016). DOI: https://doi.org/10.1038/533452a\n\n3 Begley\, C G\, 
 and Ioannidis\, J. PA. “Reproducibility in science improving the standar
 d for basic and preclinical research.” Circulation research. 2015\; 116.
 1: 116-126. DOI: 10.1161/CIRCRESAHA.114.303819 \n\n4 Asher Mullard\, “Pr
 eclinical cancer research suffers another reproducibility blow” Nature R
 eviews Drug Discovery 21\, 89 (2022). DOI: https://doi.org/10.1038/d41573-
 022-00012-6\n\n# Audience\nThis workshop is addressed to scientists and cl
 inicians in the biomedical field who are involved\, at several possible le
 vels\, in Research Data Management and would like to know how to make data
  compliant with RDM good practices and the FAIR principles. \n\n# Learning
  outcomes\n\nAt the end of the course\, the participants are expected to k
 now: \n\n* how to optimize the organization of their data and choose the m
 ost suitable file formats\, \n\n* what are ontologies\, how to choose them
 \, how and when to create a new one\, \n\n* how to document their data by 
 generating a readme file and using appropriate metadata\, \n\n* how to sel
 ect FAIR data repositories and deposit data there\,\n\n* how to perform ri
 sk assessment for sensitive data (optional module 4)\,  \n\n* how to de-id
 entify / anonymize sensitive data (optional module 4).\n\n# Prerequisites\
 n*Knowledge / competencies*\n\nThis course is designed for participants wh
 o already have basic notions of [Research Data Management and FAIR princip
 les](https://sib-swiss.github.io/Introduction-FAIR-RDM-DMP/) and would lik
 e to apply them on their data. \n\nBasic knowledge of UNIX would be a desi
 rable addition. Therefore\, we suggest you explore our [UNIX fundamentals]
 (https://edu.sib.swiss/pluginfile.php/2878/mod_resource/content/4/couselab
 -html/content.html) e-learning module. \n\n\n*Technical*\n\nYou are requir
 ed to bring your own laptop.\n\n# Program Schedule (CET time zone)\n\n**Da
 y 1 (9:00 – 17:00)**\n\n**Module I: Data Type &amp\; Organization**\n\nI
 n this module\, we will provide participants with good practices in file m
 anagement such as data entry validation\, folders organization\, file nami
 ng\, file format\, and versioning. In particular\, the participants will l
 earn how to choose appropriate file formats for sharing\, and what is impo
 rtant in data entry validation / data cleaning. \n\n \n**Module II: Ontolo
 gies as controlled vocabularies**\n\nHow to make your research data better
  understandable by others\, and consequently\, more reusable? In this modu
 le\, to answer this question\, we will learn how to choose and apply ontol
 ogies as controlled vocabularies. Moreover\, we will also provide guidelin
 es on how to choose an appropriate vocabulary along the FAIR principles an
 d how to FAIRify existing ones.\n\n\n**Day 2 (9:00 – 17:00)** \n\n**Modu
 le III: Data Documentation**\n\nDuring this module\, participants will enh
 ance their data documentation skills through metadata and readme files\, u
 sing tools to facilitate efficient data organization\, storage\, retrieval
 \, and sharing.  Presented resources include specialized metadata standard
 s (Datacite\, OME\, DDI\, MIAME)\, domain-specific repositories\, as well 
 as a user-friendly automated approach to creating readme files. \n\n**Modu
 le IV: Data Protection (Optional)** \n\nThis module focuses on equipping p
 articipants with the skills and knowledge needed to handle sensitive infor
 mation effectively. It covers anonymizing and de-identifying research data
  to ensure privacy and compliance with ethical and legal guidelines. Parti
 cipants will learn to assess risks\, remove identifiable information\, and
  use privacy-preserving data sharing tools.\n\n\n# Application\nRegistrati
 on is now open\, click on the green button APPLY at the top of this page.\
 n\nThe registration fees for academics are **100 CHF** and **500 CHF** for
  for-profit companies.\n\nYou will be informed by email of your registrati
 on confirmation. Upon reception of the confirmation email\, participants w
 ill be asked to confirm attendance by paying the fees within 5 days.\n\nAp
 plications close on **12/11/2024**. Deadline for free-of-charge cancellati
 on is set to **12/11/2024**. Cancellation after this date will not be reim
 bursed. Please note that participation in SIB courses is subject to our [g
 eneral conditions](https://www.sib.swiss/training/terms-and-conditions).\n
 \n# Venue and Time\nThis course will take place at the University of Lausa
 nne (Metro M1 line\, Sorge station).\n\nThe course will start at 9:00 and 
 end around 17:00. Precise information will be provided to the participants
  in due time.\n\n\n#  Additional information\n**Organizers**\n* Vassilios 
 Ioannidis\, PhD - Lead Computational Biologist at SIB/Vital-IT\; Spéciali
 ste Donnée de recherche - FAIR at UNIRIS UNIL\n* Cécile Lebrand\, PhD - 
 Head of Open Science service at FBM UNIL/CHUV\; Spécialiste Donnée de re
 cherche at UNIRIS UNIL\n* Grégoire Rossier\, PhD - Training Manager &amp\
 ; Project Manager at SIB/Vital-IT &amp\; SIB/Training. \n\n**Trainers**\nT
 o be announced later.\n\n**Coordination:** Grégoire Rossier\n\nYou are we
 lcome to register to the SIB courses mailing list to be informed of all fu
 ture courses and workshops\, as well as all important deadlines using the 
 form [here](https://lists.sib.swiss/mailman/listinfo/courses).\n\nSIB abid
 es by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code-o
 f-conduct). Participants of SIB courses are also required to abide by the 
 same code.\n\nFor more information\, please contact [training@sib.swiss](m
 ailto://training@sib.swiss).
SUMMARY:Making Your Research Data FAIR
URL;VALUE=URI:https://www.sib.swiss/training/course/20241126_FAIR
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