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DTSTAMP:20260711T144512Z
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DTSTART:20221027T000000Z
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DESCRIPTION:# Overview\nRecent studies have shown that worldwide\, between 
 51% and 89% of published life sciences research is not reproducible\, with
  consequent losses estimated at around $100 billions/year in biomedical re
 search (Chalmers *et al.*\, 2009\; Freedman *et al.*\, 2015\; Begley and I
 oannidis\, 2015). In particular\, these studies have made clear that the r
 esearch data associated with a publication are fundamental to validate the
  published analyses and results. Many causes contribute to this lack of re
 producibility in life science studies such as a lack of rigor in data mana
 gement and analysis. This extensive problem related to improper research m
 anagement has urged scientists to consider developing efficient Research D
 ata Management Strategies and implementing robust Data Management Plans (D
 MP) for their research projects. This need is also reflected in the requir
 ements of funding agencies\, amongst which the Swiss National Science Foun
 dation (SNFS) and Horizon 2020.\n\n\nThis course\, given by researchers an
 d professionals involved in Big Data management at SIB/Vital-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 guideline
 s established by funding agencies. Importantly\, it will provide you with 
 tools to generate robust data and excellent quality studies that follow th
 e FAIR principles to make your data Findable\, Accessible\, Interoperable 
 and Reusable. \n\n*Sources of information*\n* Begley\, C G\, and Ioannidis
 \, J. PA. “Reproducibility in science improving the standard for basic a
 nd preclinical research.” Circulation research. 2015\; 116.1: 116-126. D
 OI: [10.1161/CIRCRESAHA.114.303819](https://doi.org/10.1161/circresaha.114
 .303819)\n* Chalmers I\, Glasziou P. Avoidable Waste in the 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/S0140-6736(09)6032
 9-9)\n* Freedman LP\, Cockburn IM\, Simcoe TS. The Economics of Reproducib
 ility in Preclinical Research. PLoS Biol. 2015\;13(6): e1002165. DOI: [10.
 1371/journal.pbio.1002165](https://doi.org/10.1371/journal.pbio.1002165)\n
 \n# Schedule\n**Thursday 27 October 2022 - 09:00-17:00 CET**\n\nAt first\,
  participants will be introduced to the notion of research reproducibility
  and to the need for a Data Management Plan (DMP) preparation\, an evolvin
 g document reporting how the research data will be managed during and afte
 r a research project. You will learn best practices in Research Data Manag
 ement (RDM) and especially two first steps concerning data collection and 
 data documentation. During the exercises\, you will directly apply what yo
 u 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\n**Friday 28 October 2022 - 09:00-12:30 CET**\n\nOn this hal
 f day\, you will continue to complete your DPMs and refine the information
  under the guidance of the teachers. Those who would like will be able to 
 present their draft DMPs in order to concretise their work and generate pr
 oductive discussions 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 trained on how to efficiently complete the Data Management 
 Plan form. At the same time\, this course aims at educating the participan
 ts on Data Management principles in general.\n# Learning objectives\nAt th
 e end of the course you will be able to:\n* put in place a DMP (data manag
 ement plan) which fulfills the requirements of the funding agencies such a
 s the SNFS and H2020\, which require a DMP to be put in place\n* manage in
  detail your research data\, specifying how your data will be analysed\, o
 rganised\, stored\, secured and shared\n* specify the type of data that is
  going to be created and shared\n* indicate the process to be followed in 
 respect of the budget\, intellectual property\, and monitoring \n* use the
  [“SIB/Vital-IT DMP Canvas Generator tool”](https://dmp.vital-it.ch) t
 o make your own DMP template. \n\n# Prerequisites\n##### ***Knowledge / co
 mpetencies***\nTo be involved in Life Sciences research.\n\n##### ***Techn
 ical***\nYou will need a laptop with a web browser installed.\n\n\n# Train
 ers\n\n* Cécile Lebrand - Open Science advocate and information specialis
 t\, Bibliothèque Universitaire de Médecine\, CHUV\n\n* Vassilios Ioannid
 is - SIB/Vital-IT Competence Center\, SIB Swiss Institute of Bioinformatic
 s\n\n* Grégoire Rossier - SIB/Vital-IT Competence Center &amp\; SIB Train
 ing\, SIB Swiss Institute of Bioinformatics\n\n# Application\n\n\nThis cou
 rse is free-of-charge\, as it is partially sponsored by [ELIXIR-CONVERGE](
 https://elixir-europe.org/about-us/how-funded/eu-projects/converge). Howev
 er registration is mandatory (use the Apply button below). While participa
 nts are registered on a first come\, first served basis\, exceptions may b
 e made to ensure diversity and equity\, which may increase the time before
  your registration is confirmed.\n\nYou will be informed by email of your 
 registration confirmation. \n\nDeadline for cancellation is set to **13 Oc
 tober 2022**.  \n\n # Venue and time\n\n\n\n\nThis course will be held in 
 person at the University of Bern.\n\nIt will start at 9:00 and end around 
 17:00.\n\nPrecise information will be provided to the participants before 
 the course.\n\n#  Additional information\nCoordination: Monique Zahn\, SIB
  Training Group.\n\nYou 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 sub
 ject to our [general conditions](http://www.sib.swiss/training/terms-and-c
 onditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https://elixir-e
 urope.org/events/code-of-conduct). Participants of SIB courses are also re
 quired to abide by the same code.\n\nFor more information\, please contact
  [training@sib.swiss](mailto://training@sib.swiss).\n\n\n\n\n\n\n\n\nELIXI
 R-CONVERGE is funded by the European Commission within the Research Infras
 tructures programme of Horizon 2020
LOCATION:SIB
SUMMARY:Research Data Management and Data Management Plan
URL;VALUE=URI:https://www.sib.swiss/training/course/20221027_RDMP
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