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DTSTAMP:20260706T152844Z
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DTSTART:20230126T000000Z
DTEND:20230127T000000Z
DESCRIPTION:This course is oversubscribed\, from now on\, any new applicati
 on will be put onto the waiting list. Applicants will only be contacted if
  a place becomes available.\n\n\n\n# Overview\nRecent studies have shown t
 hat worldwide\, between 51% and 89% of published life sciences research is
  not reproducible\, with consequent losses estimated at around $100 billio
 ns/year in biomedical research (Chalmers et al.\, 2009\; Freedman et al.\,
  2015\; Begley and Ioannidis\, 2015). In particular\, these studies have m
 ade clear that the research data associated with a publication are fundame
 ntal to validate the published analyses and results. Many causes contribut
 e to this lack of reproducibility in life science studies such as a lack o
 f rigor in data management and analysis. This extensive problem related to
  improper research management has urged scientists to consider developing 
 efficient Research Data Management Strategies and implementing robust Data
  Management Plans (DMP) for their research projects. This need is also ref
 lected in the requirements of funding agencies\, amongst which the Swiss N
 ational Science Foundation (SNFS) and Horizon 2020.\n\nThis course\, given
  by researchers and professionals involved in Big Data management at SIB/V
 ital-IT as well as in Data Management Plan preparation at UNIL/CHUV\, will
  provide you with effective support to produce high quality DMP complying 
 with the guidelines established by funding agencies. Importantly\, it will
  provide you with tools to generate robust data and excellent quality stud
 ies that follow the FAIR principles to make your data Findable\, Accessibl
 e\, Interoperable and Reusable.\n\n*Sources of information*\n* Begley\, C 
 G\, and Ioannidis\, J. PA. “Reproducibility in science improving the sta
 ndard for basic and preclinical research.” Circulation research. 2015\; 
 116.1: 116-126. DOI: [10.1161/CIRCRESAHA.114.303819](https://doi.org/10.11
 61/circresaha.114.303819)\n* Chalmers I\, Glasziou P. Avoidable Waste in t
 he Production and Reporting of Research Evidence. Lancet. 2009\; 374(9683)
 : 86–89.  DOI: [10.1016/S0140-6736(09)60329-9](https://doi.org/10.1016/S
 0140-6736(09)60329-9)\n* Freedman LP\, Cockburn IM\, Simcoe TS. The Econom
 ics of Reproducibility in Preclinical Research. PLoS Biol. 2015\;13(6): e1
 002165. DOI: [10.1371/journal.pbio.1002165](https://doi.org/10.1371/journa
 l.pbio.1002165)\n\n# Schedule\n**First day- 09:00-17:00 CET**\n\nAt first\
 , participants will be introduced to the notion of research reproducibilit
 y and to the need for a Data Management Plan (DMP) preparation\, an evolvi
 ng document reporting how the research data will be managed during and aft
 er a research project. You will learn best practices in Research Data Mana
 gement (RDM) and especially two first steps concerning data collection and
  data documentation. During the exercises\, you will directly apply what y
 ou have learned.\n\nDuring the afternoon\, you will learn additional steps
  of the RDM cycle concerning Ethics\, Legal\, Security issues\, Data Prese
 rvation and Data Sharing\, as well as an overview of the FAIR principles. 
 The remaining part of the course will be dedicated to demos and exercises 
 on Data management\, where you will learn how to share your published data
  on adapted repositories\, such as Zenodo\, and how to fill a DMP correspo
 nding to your own research using the “SIB/Vital-IT DMP Canvas Generator 
 tool”.\n\n**Second day- 09:00-12:30 CET**\n\nOn this half day\, you will
  continue to complete your DPMs and refine the information under the guida
 nce of the teachers. Those who would like will be able to present their dr
 aft DMPs in order to concretize their work and generate productive discuss
 ions in the group.\n\n# Audience\nThe course is addressed to postgraduate 
 students and researchers who plan to apply for SNFS funds and want to be t
 rained on how to efficiently complete the Data Management Plan form. At th
 e same time\, this course aims at educating the participants on Data Manag
 ement principles in general.\n# Learning objectives\nAt the end of the cou
 rse you will be able to:\n* put in place a DMP (data management plan) whic
 h fulfills the requirements of the funding agencies such as the SNFS and H
 2020\, which require a DMP to be put in place\n* manage in detail your res
 earch data\, specifying how your data will be analysed\, organised\, store
 d\, secured and shared\n* specify the type of data that is going to be cre
 ated and shared\n* indicate the process to be followed in respect of the b
 udget\, intellectual property\, and monitoring \n* use the [“SIB/Vital-I
 T DMP Canvas Generator tool”](https://dmp.vital-it.ch) to make your own 
 DMP template. \n\n# Prerequisites\n##### ***Knowledge / competencies***\nT
 o be involved in Life Sciences research.\n\n##### ***Technical***\nYou wil
 l need a laptop with a web browser installed. \n\n\n# Trainers\n* Cécile 
 Lebrand - Open Science advocate and information specialist\, Bibliothèque
  Universitaire de Médecine\, CHUV\n\n* Vassilios Ioannidis - SIB/Vital-IT
  Competence Center\, SIB Swiss Institute of Bioinformatics\n\n* Grégoire 
 Rossier - SIB/Vital-IT Competence Center &amp\; SIB Training\, SIB Swiss I
 nstitute of Bioinformatics\n\n# Application\n\nThis course is oversubscrib
 ed\, therefore applications are closed. Applicants in the waiting list  wi
 ll only be contacted if a place becomes available.\n\n\nThis course is fre
 e of charges. It is partially sponsored by [ELIXIR-CONVERGE](https://elixi
 r-europe.org/about-us/how-funded/eu-projects/converge).\nWhile participant
 s are registered on a first come\, first served basis\, exceptions may be 
 made to ensure diversity and equity\, which may increase the time before y
 our registration is confirmed.\n\nDeadline for cancellation is set to **12
 /01/2023**.\n\nYou will be informed by email of your registration confirma
 tion. \n\n # Venue and time\n\n\nThis course will ONLY be held in person a
 t the University of Lausanne (Metro M1 line\, Sorge station). **No online 
 streaming will be offered.**\n\nIt will start at 9:00 and end around 12:30
  on the second day.\n\nPrecise information will be provided to the partici
 pants before the course.\n\n#  Additional information\nCoordination: Diana
  Marek\, SIB Training Group\n\nYou are welcome to register to the SIB cour
 ses mailing list to be informed of all future courses and workshops\, as w
 ell as all important deadlines using the form [here](https://lists.sib.swi
 ss/mailman/listinfo/courses).\n\nPlease note that participation in SIB cou
 rses is subject to our [general conditions](http://www.sib.swiss/training/
 terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https
 ://elixir-europe.org/events/code-of-conduct). Participants of SIB courses 
 are also required to abide by the same code.\n\nFor more information\, ple
 ase contact [training@sib.swiss](mailto://training@sib.swiss).\n\n\n\n\n\n
 \n\n\nELIXIR-CONVERGE is funded by the European Commission within the Rese
 arch Infrastructures programme of Horizon 2020
SUMMARY:Research Data Management and Data Management Plan
URL;VALUE=URI:https://www.sib.swiss/training/course/20230126_RDMP
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